Vipin Kumar

Orcid: 0000-0002-9040-2665

Affiliations:
  • University of Minnesota, Department of Computer Science and Engineering, USA


According to our database1, Vipin Kumar authored at least 369 papers between 1986 and 2024.

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Bibliography

2024
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems.
CoRR, 2024

Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications.
CoRR, 2024

Knowledge-guided Machine Learning: Current Trends and Future Prospects.
CoRR, 2024

Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023
Correction: Lin et al. Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sens. 2021, 13, 1740.
Remote. Sens., January, 2023

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.
ACM Comput. Surv., 2023

Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems.
CoRR, 2023

Uncertainty Quantification in Inverse Models in Hydrology.
CoRR, 2023

Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources.
CoRR, 2023

The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence.
CoRR, 2023

Bayesian Federated Learning: A Survey.
CoRR, 2023

Entity Aware Modelling: A Survey.
CoRR, 2023

Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin.
CoRR, 2023

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Probabilistic Inverse Modeling: An Application in Hydrology.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Causal Structure Learning from Imperfect Longitudinal Data in Healthcare.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling.
Proceedings of the IEEE International Conference on Data Mining, 2023

On Computing Paradigms - Where Will Large Language Models Be Going.
Proceedings of the IEEE International Conference on Data Mining, 2023

Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space.
CoRR, 2022

Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Meta-Transfer Learning: An application to Streamflow modeling in River-streams.
Proceedings of the IEEE International Conference on Data Mining, 2022

Clustering augmented self-supervised learning: an application to land cover mapping.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021
A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data.
IEEE J. Biomed. Health Informatics, 2021

Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making.
ACM Trans. Interact. Intell. Syst., 2021

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.
Trans. Data Sci., 2021

Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco.
Remote. Sens., 2021

Strategies for building robust prediction models using data unavailable at prediction time.
J. Am. Medical Informatics Assoc., 2021

Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics.
CoRR, 2021

Weakly Supervised Classification Using Group-Level Labels.
CoRR, 2021

Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping.
CoRR, 2021

Phase Retrieval using Single-Instance Deep Generative Prior.
CoRR, 2021

Land Cover Mapping in Limited Labels Scenario: A Survey.
CoRR, 2021

Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks.
IEEE Trans. Knowl. Data Eng., 2020

Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations.
Remote. Sens., 2020

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories.
BMC Medical Informatics Decis. Mak., 2020

Physics Guided Machine Learning Methods for Hydrology.
CoRR, 2020

Teaching deep learning causal effects improves predictive performance.
CoRR, 2020

Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning.
CoRR, 2020

Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.
CoRR, 2020

Inverse Problems, Deep Learning, and Symmetry Breaking.
CoRR, 2020

Integrating Physics-Based Modeling with Machine Learning: A Survey.
CoRR, 2020

Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Learning with Small Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Personalized Image Retrieval with Sparse Graph Representation Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Regularized Graph Convolutional Networks for Short Text Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Model-agnostic Methods for Text Classification with Inherent Noise.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Machine Learning for the Geosciences: Challenges and Opportunities.
IEEE Trans. Knowl. Data Eng., 2019

Plantation Mapping in Southeast Asia.
Frontiers Big Data, 2019

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series.
CoRR, 2019

Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning.
CoRR, 2019

Intelligent systems for geosciences: an essential research agenda.
Commun. ACM, 2019

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models.
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Spatio-temporal classification at multiple resolutions using multi-view regularization.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Introduction to Data Mining (Second Edition)
Pearson, 2019

2018
Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings.
IEEE Trans. Knowl. Data Eng., 2018

Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework.
Remote. Sens., 2018

Mining Electronic Health Records (EHRs): A Survey.
ACM Comput. Surv., 2018

Spatio-Temporal Data Mining: A Survey of Problems and Methods.
ACM Comput. Surv., 2018

Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes.
CoRR, 2018

Mining Sub-Interval Relationships In Time Series Data.
CoRR, 2018

Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017
Active Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

RAPT: Rare Class Prediction in Absence of True Labels.
IEEE Trans. Knowl. Data Eng., 2017

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data.
IEEE Trans. Knowl. Data Eng., 2017

Discovery of Shifting Patterns in Sequence Classification.
CoRR, 2017

ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring.
CoRR, 2017

Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling.
CoRR, 2017

Mining Electronic Health Records: A Survey.
CoRR, 2017

Quantifying the Effect of Data Quality on the Validity of an eMeasure.
Appl. Clin. Inform., 2017

Predict Land Covers with Transition Modeling and Incremental Learning.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Big Data in Climate: Opportunities and Challenges for Machine Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Incremental Dual-memory LSTM in Land Cover Prediction.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Tripoles: A New Class of Relationships in Time Series Data.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Joint sparse auto-encoder: A semi-supervised spatio-temporal approach in mapping large-scale croplands.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities.
Proceedings of the Computational Sustainability, 2016

Data Science for Food, Energy and Water: A Workshop Report.
SIGKDD Explor., 2016

Clustering of elderly patient subgroups to identify medication-related readmission risks.
Int. J. Medical Informatics, 2016

Causal Inference in Observational Data.
CoRR, 2016

Theory-guided Data Science: A New Paradigm for Scientific Discovery.
CoRR, 2016

The Brain-Network Paradigm: Using Functional Imaging Data to Study How the Brain Works.
Computer, 2016

Type 2 Diabetes Mellitus Trajectories and Associated Risks.
Big Data, 2016

Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data.
Appl. Clin. Inform., 2016

Big Data in Climate: Opportunities and Challenges for Machine Learning.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications.
Proceedings of the Summit on Clinical Research Informatics, 2016

Learning large-scale plantation mapping from imperfect annotators.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Identifying dynamic changes with noisy labels in spatial-temporal data: A study on large-scale water monitoring application.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Quantifying the Effect of Data Quality on the Correctness of an eMeasure.
Proceedings of the AMIA 2016, 2016

Causality-Guided Feature Selection.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Understanding Dominant Factors for Precipitation over the Great Lakes Region.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Nonoccurring Behavior Analytics: A New Area.
IEEE Intell. Syst., 2015

Computing and Climate.
Comput. Sci. Eng., 2015

SubPatCNV: approximate subspace pattern mining for mapping copy-number variations.
BMC Bioinform., 2015

From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Rare Class Detection in Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Ensemble Learning Methods for Binary Classification with Multi-modality within the Classes.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Response-Guided Community Detection: Application to Climate Index Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Forensic Style Analysis with Survival Trajectories.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities.
Proceedings of the AMIA 2015, 2015

A Data Quality Ontology for the Secondary Use of EHR Data.
Proceedings of the AMIA 2015, 2015

Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach.
Proceedings of the AMIA 2015, 2015

Predictive Models for Integrating Clinical and Genomic Data.
Proceedings of the Healthcare Data Analytics., 2015

2014
Trends in big data analytics.
J. Parallel Distributed Comput., 2014

Identification of co-occurring insertions in cancer genomes using association analysis.
Int. J. Data Min. Bioinform., 2014

A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences.
Data Min. Knowl. Discov., 2014

Theory-Guided Data Science for Climate Change.
Computer, 2014

A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science.
Big Data, 2014

Memory-efficient Query-driven Community Detection with Application to Complex Disease Associations.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Predictive Learning in the Presence of Heterogeneity and Limited Training Data.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Amb-EM: a SNP-based prediction of HLA alleles using ambiguous HLA data.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities.
Proceedings of the AMIA 2014, 2014

Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A graph-based approach to find teleconnections in climate data.
Stat. Anal. Data Min., 2013

Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Contextual Time Series Change Detection.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Detection of Precursors to Aviation Safety Incidents Due to Human Factors.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Coupled Heterogeneous Association Rule Mining (CHARM): Application Toward Inference of Modulatory Climate Relationships.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Evaluation of Label Dependency for the Prediction of HLA Genes.
Proceedings of the ACM Conference on Bioinformatics, 2013

Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care.
Proceedings of the AMIA 2013, 2013

Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Earth Science Applications of Sensor Data.
Proceedings of the Managing and Mining Sensor Data, 2013

2012
Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2012

Anomaly Detection for Discrete Sequences: A Survey.
IEEE Trans. Knowl. Data Eng., 2012

Enhancing the functional content of protein interaction networks
CoRR, 2012

Toward Data-driven, Semi-automatic Inference of Phenomenological Physical Models: Application to Eastern Sahel Rainfall.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Testing the significance of spatio-temporal teleconnection patterns.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Approximate Search on Massive Spatiotemporal Datasets.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Invited: Discovering combinatorial biomarkers.
Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

On the path to sustainable, scalable, and energy-efficient data analytics: Challenges, promises, and future directions.
Proceedings of the 2012 International Green Computing Conference, 2012

Time series change detection using segmentation: A case study for land cover monitoring.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

Mining time-lagged relationships in spatio-temporal climate data.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

Importance of vegetation type in forest cover estimation.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

EddyScan: A physically consistent ocean eddy monitoring application.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

A new data mining framework for forest fire mapping.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

A pattern mining based integrative framework for biomarker discovery.
Proceedings of the ACM International Conference on Bioinformatics, 2012

A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Monitoring global forest cover using data mining.
ACM Trans. Intell. Syst. Technol., 2011

Characterizing Discriminative Patterns
CoRR, 2011

Discovery of error-tolerant biclusters from noisy gene expression data.
BMC Bioinform., 2011

Discovering Dynamic Dipoles in Climate Data.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Using Constraints to Generate and Explore Higher Order Discriminative Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

A simple statistical model and association rule filtering for classification.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction.
Proceedings of the IJCAI 2011, 2011

Gopher: Global observation of Planetary Health and Ecosystem Resources.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Incorporating Natural Variation into Time Series-Based Land Cover Change Detection.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

Data Guided Discovery of Dynamic Climate Dipoles.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

Anomaly Construction in Climate Data: Issues and Challenges.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

A Model-Free Time Series Segmentation Approach for Land Cover Change Detection.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2010
An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions.
PLoS Comput. Biol., 2010

Subspace Differential Coexpression Analysis: Problem Definition and a General Approach.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

Discovery of Patterns in Global Earth Science Data Using Data Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Automated detection of forest cover changes.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

A reference based analysis framework for analyzing system call traces.
Proceedings of the 6th Cyber Security and Information Intelligence Research Workshop, 2010

A Knowledge Discovery Strategy for Relating Sea Surface Temperatures to Frequencies of Tropical Storms and Generating Predictions of Hurricanes Under 21st-century Global Warming Scenarios.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

A Comparative Study Of Algorithms For Land Cover Change.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining.
Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010

Identification of co-occurring insertions in cancer genomes using association analysis.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
Load Balancing for Parallel Optimization Techniques.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Pattern Preserving Clustering.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Characterizing pattern preserving clustering.
Knowl. Inf. Syst., 2009

Anomaly detection: A survey.
ACM Comput. Surv., 2009

Incorporating functional inter-relationships into protein function prediction algorithms.
BMC Bioinform., 2009

A Framework for Exploring Categorical Data.
Proceedings of the SIAM International Conference on Data Mining, 2009

An association analysis approach to biclustering.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Association analysis techniques for analyzing complex biological data sets.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Association Analysis Techniques for Bioinformatics Problems.
Proceedings of the Bioinformatics and Computational Biology, 2009

Scientific Data Analysis.
Proceedings of the Scientific Data Management - Challenges, Technology, and Deployment., 2009

2008
Data Analysis in the 21st Century.
Stat. Anal. Data Min., 2008

Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Robust and efficient identification of biomarkers by classifying features on graphs.
Bioinform., 2008

Similarity Measures for Categorical Data: A Comparative Evaluation.
Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-supervised approach to rapid and reliable labeling of large data sets.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Quantitative evaluation of approximate frequent pattern mining algorithms.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Land cover change detection: a case study.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Comparative Evaluation of Anomaly Detection Techniques for Sequence Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Systematic Evaluation of Scaling Methods for Gene Expression Data.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining.
Proceedings of the Next Generation of Data Mining., 2008

2007
Scalability of Parallel Programs.
Proceedings of the Handbook of Parallel Computing - Models, Algorithms and Applications., 2007

Generalizing the notion of confidence.
Knowl. Inf. Syst., 2007

Summarization - compressing data into an informative representation.
Knowl. Inf. Syst., 2007

Estimating False Negatives for Classification Problems with Cluster Structure.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Association analysis-based transformations for protein interaction networks: a function prediction case study.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing.
Proceedings of the Computational Science, 2007

High Performance Data Mining - Application for Discovery of Patterns in the Global Climate System.
Proceedings of the High Performance Computing, 2007

2006
Privacy leakage in multi-relational databases: a semi-supervised learning perspective.
VLDB J., 2006

TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases.
IEEE Trans. Knowl. Data Eng., 2006

Enhancing Data Analysis with Noise Removal.
IEEE Trans. Knowl. Data Eng., 2006

Hyperclique pattern discovery.
Data Min. Knowl. Discov., 2006

Scan Detection: A Data Mining Approach.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Divide and conquer approach for efficient pagerank computation.
Proceedings of the 6th International Conference on Web Engineering, 2006

2005
IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition.
IEEE Trans. Knowl. Data Eng., 2005

Incremental page rank computation on evolving graphs.
Proceedings of the 14th international conference on World Wide Web, 2005

Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery.
Proceedings of the Biocomputing 2005, 2005

Feature bagging for outlier detection.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Privacy leakage in multi-relational databases via pattern based semi-supervised learning.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Feature Mining for Prediction of Degree of Liver Fibrosis.
Proceedings of the AMIA 2005, 2005

Introduction to Data Mining
Addison-Wesley, ISBN: 0-321-32136-7, 2005

2004
Data Mining.
Proceedings of the Handbook of Data Structures and Applications., 2004

Selecting the right objective measure for association analysis.
Inf. Syst., 2004

HICAP: Hierarchical Clustering with Pattern Preservation.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

RBA: An Integrated Framework for Regression based on Association Rules.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

CREDOS: Classification Using Ripple Down Structure (A Case for Rare Classes).
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Generalizing the notion of support.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Support envelopes: a technique for exploring the structure of association patterns.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Predicting the Performance of Randomized Parallel Search: An Application to Robot Motion Planning.
J. Intell. Robotic Syst., 2003

Usage Aware PageRank.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries.
Proceedings of the Advances in Spatial and Temporal Databases, 8th International Symposium, 2003

A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

A New Clustering Algorithm for Transaction Data via Caucus.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Discovery of climate indices using clustering.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Localized Prediction of Continuous Target Variables Using Hierarchical Clustering.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Optimizing F-Measure with Support Vector Machines.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

Damage prediction in structural mechanics using partitioning approach.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2003

Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach.
Proceedings of the Clustering and Information Retrieval, 2003

2002
Discovery of Web Robot Sessions Based on their Navigational Patterns.
Data Min. Knowl. Discov., 2002

Parallel static and dynamic multi-constraint graph partitioning.
Concurr. Comput. Pract. Exp., 2002

Emerging scientific applications in data mining.
Commun. ACM, 2002

Expert agreement and content based reranking in a meta search environment using Mearf.
Proceedings of the Eleventh International World Wide Web Conference, 2002

High Performance Data Mining.
Proceedings of the High Performance Computing for Computational Science, 2002

Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Selecting the right interestingness measure for association patterns.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Predicting rare classes: can boosting make any weak learner strong?
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001
Wavefront Diffusion and LMSR: Algorithms for Dynamic Repartitioning of Adaptive Meshes.
IEEE Trans. Parallel Distributed Syst., 2001

Guest Editors' Introduction: Special Issue on High-Performance Data Mining.
J. Parallel Distributed Comput., 2001

Mining Needle in a Haystack: Classifying Rare Classes via Two-phase Rule Induction.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification.
Proceedings of the Knowledge Discovery and Data Mining, 2001

Mining Indirect Associations in Web Data.
Proceedings of the WEBKDD 2001, 2001

Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Architecture Independent Analysis of Parallel Programs.
Proceedings of the Computational Science - ICCS 2001, 2001

Graph Partitioning for Dynamic, Adaptive and Multi-phase Scientific Simulations.
Proceedings of the 2001 IEEE International Conference on Cluster Computing (CLUSTER 2001), 2001

2000
Multilevel <i>k</i>-way Hypergraph Partitioning.
VLSI Design, 2000

Scalable Parallel Data Mining for Association Rules.
IEEE Trans. Knowl. Data Eng., 2000

Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000.
SIGKDD Explor., 2000

A Unified Algorithm for Load-balancing Adaptive Scientific Simulations.
Proceedings of the Proceedings Supercomputing 2000, 2000

Indirect Association: Mining Higher Order Dependencies in Data.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

High performance data mining (tutorial PM-3).
Proceedings of the Tutorial notes of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Distributed and parallel knowledge discovery (workshop session - title only).
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Graph Partitioning for Dynamic, Adaptive, and Multi-phase Computations.
Proceedings of the Parallel and Distributed Processing, 2000

Load Balancing Across Near-Homogeneous Multi-Resource Servers.
Proceedings of the 9th Heterogeneous Computing Workshop, 2000

Parallel Multilevel Algorithms for Multi-constraint Graph Partitioning (Distinguished Paper).
Proceedings of the Euro-Par 2000, Parallel Processing, 6th International Euro-Par Conference, Munich, Germany, August 29, 2000

Memory Management Techniques for Gang Scheduling.
Proceedings of the Euro-Par 2000, Parallel Processing, 6th International Euro-Par Conference, Munich, Germany, August 29, 2000

1999
Multilevel hypergraph partitioning: applications in VLSI domain.
IEEE Trans. Very Large Scale Integr. Syst., 1999

State of the Art in Parallel Search Techniques for Discrete Optimization Problems.
IEEE Trans. Knowl. Data Eng., 1999

Parallel Multilevel series k-Way Partitioning Scheme for Irregular Graphs.
SIAM Rev., 1999

Information power grid: The new frontier in parallel computing?
IEEE Concurr., 1999

Partitioning-based clustering for Web document categorization.
Decis. Support Syst., 1999

Parallel Formulations of Decision-Tree Classification Algorithms.
Data Min. Knowl. Discov., 1999

Chameleon: Hierarchical Clustering Using Dynamic Modeling.
Computer, 1999

Document Categorization and Query Generation on the World Wide Web Using WebACE.
Artif. Intell. Rev., 1999

Job Scheduling in the presence of Multiple Resource Requirements.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1999

PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

Efficient Parallel Algorithms for Mining Associations.
Proceedings of the Large-Scale Parallel Data Mining, 1999

Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints.
Proceedings of the International Conference on Parallel Processing 1999, 1999

High Performance Data Mining.
Proceedings of the High Performance Computing, 1999

A New Algorithm for Multi-objective Graph Partitioning.
Proceedings of the Euro-Par '99 Parallel Processing, 5th International Euro-Par Conference, Toulouse, France, August 31, 1999

1998
Declustering and Load-Balancing Methods for Parallelizing Geographic Information Systems.
IEEE Trans. Knowl. Data Eng., 1998

A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs.
SIAM J. Sci. Comput., 1998

Parallel Hierarchical Solvers and Preconditioners for Boundary Element Methods.
SIAM J. Sci. Comput., 1998

Scalable Parallel Formulations of the Barnes-Hut Method for <i>n</i>-Body Simulations.
Parallel Comput., 1998

Multilevel k-way Partitioning Scheme for Irregular Graphs.
J. Parallel Distributed Comput., 1998

A Parallel Algorithm for Multilevel Graph Partitioning and Sparse Matrix Ordering.
J. Parallel Distributed Comput., 1998

Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results.
IEEE Data Eng. Bull., 1998

Load Balancing of Dynamic and Adaptive Mesh-Based Computations.
Proceedings of the Seventeenth Symposium on Reliable Distributed Systems, 1998

Dynamic Repartitioning of Adaptively Refined Meshes.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1998

Multilevel Algorithms for Multi-Constraint Graph Partitioning.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1998

WSSMP: A High-Performance Serial and Parallel Symmetric Sparse Linear Solver.
Proceedings of the Applied Parallel Computing, 1998

ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets.
Proceedings of the 12th International Parallel Processing Symposium / 9th Symposium on Parallel and Distributed Processing (IPPS/SPDP '98), March 30, 1998

WebACE: A Web Agent for Document Categorization and Exploration.
Proceedings of the Second International Conference on Autonomous Agents, 1998

1997
Highly Scalable Parallel Algorithms for Sparse Matrix Factorization.
IEEE Trans. Parallel Distributed Syst., 1997

Multilevel Diffusion Schemes for Repartitioning of Adaptive Meshes.
J. Parallel Distributed Comput., 1997

Parallel Threshold-based ILU Factorization.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1997

Role of Message-Passing in Performance Oriented Parallel Programming.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

A Coarse-Grain Parallel Formulation of Multilevel k-way Graph Partitioning Algorithm.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems.
Proceedings of the Fourth International on High-Performance Computing, 1997

Repartitioning of Adaptive Meshes: Experiments with Multilevel Diffusion.
Proceedings of the Euro-Par '97 Parallel Processing, 1997

Clustering Based On Association Rule Hypergraphs.
Proceedings of the Workshop on Research Issues on Data Mining and Knowledge Discovery, 1997

Multilevel Hypergraph Partitioning: Application in VLSI Domain.
Proceedings of the 34st Conference on Design Automation, 1997

1996
Parallelizing a GIS on a Shared Address Space Architecture.
Computer, 1996

Parallel Multilevel k-way Partitioning Scheme for Irregular Graphs.
Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, 1996

Parallel Multilevel Graph Partitioning.
Proceedings of IPPS '96, 1996

1995
Performance and Scalability of Preconditioned Conjugate Gradient Methods on Parallel Computers.
IEEE Trans. Parallel Distributed Syst., 1995

Parallel Search Algorithms for Discrete Optimization Problems.
INFORMS J. Comput., 1995

Load Balancing in High Performance GIS: Declustering Polygonal Maps.
Proceedings of the Advances in Spatial Databases, 1995

Analysis of Multilevel Graph Partitioning.
Proceedings of the Proceedings Supercomputing '95, San Diego, CA, USA, December 4-8, 1995, 1995

Parallel Algorithms for Forward and Back Substitution in Direct Solution of Sparse Linear Systems.
Proceedings of the Proceedings Supercomputing '95, San Diego, CA, USA, December 4-8, 1995, 1995

Parallel Matrix-Vector Product Using Approximate Hierarchical Methods.
Proceedings of the Proceedings Supercomputing '95, San Diego, CA, USA, December 4-8, 1995, 1995

A Highly Parallel Interior Point Algorithm.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995

Optimally Scalable Parallel Sparse Cholesky Factorization.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995

N-Body Simulations Using Message Passsing Parallel Computers.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995

A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems.
Proceedings of the 1995 International Conference on Robotics and Automation, 1995

Multilevel Graph Partitioning Schemes.
Proceedings of the 1995 International Conference on Parallel Processing, 1995

1994
A Scalable Parallel Formulation of the Backpropagation Algorithm for Hypercubes and Related Architectures.
IEEE Trans. Parallel Distributed Syst., 1994

Unstructured Tree Search on SIMD Parallel Computers.
IEEE Trans. Parallel Distributed Syst., 1994

Scalable Load Balancing Techniques for Parallel Computers.
J. Parallel Distributed Comput., 1994

A parallel formulation of interior point algorithms.
Proceedings of the Proceedings Supercomputing '94, 1994

A scalable parallel algorithm for sparse Cholesky factorization.
Proceedings of the Proceedings Supercomputing '94, 1994

Experiences with a Parallel Formulation of an Interior Point Algorithm.
Proceedings of the Workshop on Parallel Processing of Discrete Optimization Problems, 1994

Introduction to Parallel Computing.
Benjamin/Cummings, ISBN: 0-8053-3170-0, 1994

1993
On the Efficiency of Parallel Backtracking.
IEEE Trans. Parallel Distributed Syst., 1993

The Scalability of FFT on Parallel Computers.
IEEE Trans. Parallel Distributed Syst., 1993

Performance Properties of Large Scale Parallel Systems.
J. Parallel Distributed Comput., 1993

Isoefficiency: measuring the scalability of parallel algorithms and architectures.
IEEE Parallel Distributed Technol. Syst. Appl., 1993

Performance and Scalability of Preconditioned Conjugate Gradient Methods on the CM-5.
Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993

Efficient Parallel Mappings of a Dynamic Programming Algorithm: A Summary of Results.
Proceedings of the Seventh International Parallel Processing Symposium, 1993

Parallel Search Algorithms for Robot Motion Planning.
Proceedings of the 1993 IEEE International Conference on Robotics and Automation, 1993

Scalability of Parallel Algorithms for Matrix Multiplication.
Proceedings of the 1993 International Conference on Parallel Processing, 1993

1992
Unstructured Tree Search on SIMD Parallel Computers: A Summary of Results.
Proceedings of the Proceedings Supercomputing '92, 1992

Scalability Analysis of Partitioning Strategies for Finite Element Graphs: A Summary of Results.
Proceedings of the Proceedings Supercomputing '92, 1992

1991
Automatic test pattern generation on parallel processors.
Parallel Comput., 1991

Scalability of Parallel Algorithms for the All-Pairs Shortest-Path Problem.
J. Parallel Distributed Comput., 1991

AND-Parallel Execution of Logic Programs on a Shared-Memory Multiprocessor.
J. Log. Program., 1991

Efficient algorithms for parallel sorting on mesh multicomputers.
Int. J. Parallel Program., 1991

Scalability of Parallel Sorting on Mesh Multicomputers.
Proceedings of the Fifth International Parallel Processing Symposium, Proceedings, Anaheim, California, USA, April 30, 1991

Analysis of scalability of parallel algorithms and architectures: a survey.
Proceedings of the 5th international conference on Supercomputing, 1991

Depth-First Versus Best-First Search.
Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1990
Scalability of Parallel Algorithms for the All-Pairs Shortest Path Problem: A Summary of Results.
Proceedings of the 1990 International Conference on Parallel Processing, 1990

1989
Automatic Test Pattern Generation on Multiprocessors: A Summary of Results.
Proceedings of the Knowledge Based Computer Systems, 1989

Floorplan optimization on multiprocessors.
Proceedings of the Computer Design: VLSI in Computers and Processors, 1989

1988
Concurrent Access of Priority Queues.
IEEE Trans. Computers, 1988

A Data-Dependency-Based Intelligent Backtracking Scheme for Prolog.
J. Log. Program., 1988

AND-Parallel Execution of Logic Programs on a Shared Memory Multiprocessor: A Summary of Results.
Proceedings of the Logic Programming, 1988

Superlinear Speedup in Parallel State-Space Search.
Proceedings of the Foundations of Software Technology and Theoretical Computer Science, 1988

Performance of And-Paralle Execution of Logic Programs on a Shared-Memory Multiprocessor.
Proceedings of the International Conference on Fifth Generation Computer Systems, 1988

Parallel Best-First Search of State-Space Graphs: A Summary of Results.
Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987
Parallel depth first search. Part I. Implementation.
Int. J. Parallel Program., 1987

Parallel depth first search. Part II. Analysis.
Int. J. Parallel Program., 1987

An Intelligent Backtracking Scheme for Prolog.
Proceedings of the 1987 Symposium on Logic Programming, San Francisco, California, USA, August 31, 1987

A Parallel Implementation of Iterative-Deepening-A*.
Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987

1986
A Parallel Execution Scheme for Exploiting and Parallelism of Logic Programs.
Proceedings of the International Conference on Parallel Processing, 1986

An Intelligent Backtracking Algorithm for Parallel Execution of Logic Programs.
Proceedings of the Third International Conference on Logic Programming, 1986

A Framework for Intelligent Backtracking in Logic Programs.
Proceedings of the Foundations of Software Technology and Theoretical Computer Science, 1986


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