Lawrence B. Holder

According to our database, Lawrence B. Holder authored at least 179 papers between 1988 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Hybrid deep learning approach to improve classification of low-volume high-dimensional data.

Pegah Mavaie, Lawrence Holder, Michael K. Skinner

BMC Bioinform., December, 2023

Understanding and Estimating Domain Complexity Across Domains.

Katarina Doctor, Mayank Kejriwal, Lawrence Holder, Eric J. Kildebeck, Emma Resmini, Christopher Pereyda, Robert J. Steininger, Daniel V. Olivença

CoRR, 2023

Toward Defining a Domain Complexity Measure Across Domains.

Katarina Doctor, Christine Task, Eric J. Kildebeck, Mayank Kejriwal, Lawrence Holder, Russell Leong

CoRR, 2023

2022

ITeM: Independent temporal motifs to summarize and compare temporal networks.

Sumit Purohit, George Chin, Lawrence B. Holder

Intell. Data Anal., 2022

Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction.

Gina Sprint, Diane J. Cook, Maureen Schmitter-Edgecombe, Lawrence B. Holder

ACM Trans. Comput. Heal., 2022

Weibull-Open-World (WOW) Multi-Type Novelty Detection in CartPole3D.

Terrance E. Boult, Nicolas M. Windesheim, Steven Zhou, Christopher Pereyda, Lawrence B. Holder

Algorithms, 2022

2021

Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach.

Pegah Mavaie, Lawrence Holder, Daniel Beck, Michael K. Skinner

BMC Bioinform., 2021

Towards a Unifying Framework for Formal Theories of Novelty.

Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion.

Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer

CoRR, 2020

Measuring the Complexity of Domains Used to Evaluate AI Systems.

Christopher Pereyda, Lawrence Holder

CoRR, 2020

Graph Filtering to Remove the "Middle Ground" for Anomaly Detection.

William Eberle, Lawrence Holder

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Improving IoT Predictions through the Identification of Graphical Features.

Syeda Selina Akter, Lawrence Holder

Sensors, 2019

On Graph Mining With Deep Learning: Introducing Model R for Link Weight Prediction.

Yuchen Hou, Lawrence B. Holder

J. Artif. Intell. Soft Comput. Res., 2019

Efficient frequent subgraph mining on large streaming graphs.

Abhik Ray, Lawrence B. Holder, Albert Bifet

Intell. Data Anal., 2019

2018

Sensor Network Configuration Learning for Maximizing Application Performance.

Joel Helkey, Lawrence B. Holder

Sensors, 2018

Cross-environment activity recognition using a shared semantic vocabulary.

Zachary Wemlinger, Lawrence B. Holder

Pervasive Mob. Comput., 2018

Percolator: Scalable Pattern Discovery in Dynamic Graphs.

Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Activity Recognition Using Graphical Features from Smart Phone Sensor.

Syeda Selina Akter, Lawrence B. Holder, Diane J. Cook

Proceedings of the Internet of Things - ICIOT 2018, 2018

2017

Greedy Search Approach of Graph Mining.

Lawrence Holder

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

GraphZip: Dictionary-based Compression for Mining Graph Streams.

Charles A. Packer, Lawrence B. Holder

CoRR, 2017

Using Graphical Features To Improve Demographic Prediction From Smart Phone Data.

Syeda Selina Akter, Lawrence B. Holder

Proceedings of the 2nd International Workshop on Network Data Analytics, 2017

Deep learning approach to link weight prediction.

Yuchen Hou, Lawrence B. Holder

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Thyme: Improving Smartphone Prompt Timing Through Activity Awareness.

Samaneh Aminikhanghahi, Ramin Fallahzadeh, Matthew Sawyer, Diane J. Cook, Lawrence B. Holder

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Application-specific graph sampling for frequent subgraph mining and community detection.

Sumit Purohit, Sutanay Choudhury, Lawrence B. Holder

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Comparison of simulators for assessing the ability to sustain wireless sensor networks using dynamic network reconfiguration.

Joel Helkey, Lawrence Holder, Behrooz A. Shirazi

Sustain. Comput. Informatics Syst., 2016

Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs.

Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash

SIGKDD Explor., 2016

Incremental SVM-based classification in dynamic streaming networks.

Yibo Yao, Lawrence B. Holder

Intell. Data Anal., 2016

Network of Spiking Neurons Driven by Compression.

Alexander Gain, Lawrence Holder

Proceedings of the 2016 Data Compression Conference, 2016

StarIso: Graph Isomorphism Through Lossy Compression.

Jason Fairey, Lawrence Holder

Proceedings of the 2016 Data Compression Conference, 2016

Classification in dynamic streaming networks.

Yibo Yao, Lawrence B. Holder

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Extracting Generalizable Spatial Features from Smart Phones Datasets.

Kevin Bouchard, Lawrence B. Holder, Diane J. Cook

Proceedings of the Artificial Intelligence Applied to Assistive Technologies and Smart Environments, 2016

2015

Scalable anomaly detection in graphs.

William Eberle, Lawrence B. Holder

Intell. Data Anal., 2015

Discovering Suspicious Behavior Using Graph-Based Approach.

Lenin Mookiah, William Eberle, Larry Holder

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs.

Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo

Proceedings of the 18th International Conference on Extending Database Technology, 2015

Fast and Accurate Support Vector Machines on Large Scale Systems.

Abhinav Vishnu, Jeyanthi Narasimhan, Lawrence Holder, Darren J. Kerbyson, Adolfy Hoisie

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

Scalable classification for large dynamic networks.

Yibo Yao, Lawrence B. Holder

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Special issue on data mining in pervasive environments.

Nirmalya Roy, Parisa Rashidi, Larry Holder, Liming Chen

Pervasive Mob. Comput., 2014

Imbalanced Class Learning in Epigenetics.

Md. Muksitul Haque, Michael K. Skinner, Lawrence B. Holder

J. Comput. Biol., 2014

Natural Language Generation from Graphs.

Ngan T. Dong, Lawrence B. Holder

Int. J. Semantic Comput., 2014

Fast Support Vector Machines Using Parallel Adaptive Shrinking on Distributed Systems.

Jeyanthi Narasimhan, Abhinav Vishnu, Lawrence Holder, Adolfy Hoisie

CoRR, 2014

Query Optimization for Dynamic Graphs.

Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Patrick Mackey, Khushbu Agarwal, John Feo

CoRR, 2014

Frequent Subgraph Discovery in Large Attributed Streaming Graphs.

Abhik Ray, Larry Holder, Sutanay Choudhury

Proceedings of the 3rd International Workshop on Big Data, 2014

Detecting suspicious behavior using a graph-based approach.

Lenin Mookiah, William Eberle, Lawrence B. Holder

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Improving Activity Recognition in Smart Environments with Ontological Modeling.

Zachary Wemlinger, Lawrence B. Holder

Proceedings of the Smart Homes and Health Telematics - 12th International Conference, 2014

Activity Recognition Using Graphical Features.

Syeda Selina Akter, Lawrence B. Holder

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Scalable SVM-Based Classification in Dynamic Graphs.

Yibo Yao, Lawrence B. Holder

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Predicting and detecting emerging cyberattack patterns using StreamWorks.

George Chin Jr., Sutanay Choudhury, John Feo, Lawrence B. Holder

Proceedings of the Cyber and Information Security Research Conference, 2014

A partitioning approach to scaling anomaly detection in graph streams.

William Eberle, Lawrence B. Holder

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Generalized Query-Based Active Learning to Identify Differentially Methylated Regions in DNA.

Md. Muksitul Haque, Lawrence B. Holder, Michael K. Skinner, Diane J. Cook

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Towards a Networks-of-Networks Framework for Cyber Security

Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder

CoRR, 2013

Fast search for dynamic multi-relational graphs.

Sutanay Choudhury, Lawrence B. Holder, John Feo, George Chin Jr.

Proceedings of the Workshop on Dynamic Networks Management and Mining, 2013

StreamWorks: a system for dynamic graph search.

Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Towards a network-of-networks framework for cyber security.

Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder

Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

Combining Structure and Property Values is Essential for Graph-Based Learning.

David J. Haglin, Lawrence B. Holder

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Incremental Anomaly Detection in Graphs.

William Eberle, Lawrence B. Holder

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Sensor Selection to Support Practical Use of Health-Monitoring Smart Environments.

Diane J. Cook, Lawrence B. Holder

Proceedings of the Handbook of Ambient Assisted Living, 2012

Large-scale continuous subgraph queries on streams

Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo

CoRR, 2012

Efficiency Improvements for Parallel Subgraph Miners.

Abhik Ray, Lawrence B. Holder

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Graph-Based Anomaly Detection Applied to Homeland Security Cargo Screening.

William Eberle, Lawrence B. Holder, Beverly Massengill

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Graph based MRI brain scan classification and correlation discovery.

S. Seth Long, Lawrence B. Holder

Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Context-aware prompting from your smart phone.

Barnan Das, Brian L. Thomas, Adriana M. Seelye, Diane J. Cook, Larry B. Holder, Maureen Schmitter-Edgecombe

Proceedings of the 2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012

Using smart phones for context-aware prompting in smart environments.

Barnan Das, Adriana M. Seelye, Brian L. Thomas, Diane J. Cook, Larry B. Holder, Maureen Schmitter-Edgecombe

Proceedings of the 2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012

2011

Sensor selection to support practical use of health-monitoring smart environments.

Diane J. Cook, Lawrence B. Holder

WIREs Data Mining Knowl. Discov., 2011

Discovering Activities to Recognize and Track in a Smart Environment.

Parisa Rashidi, Diane J. Cook, Lawrence B. Holder, Maureen Schmitter-Edgecombe

IEEE Trans. Knowl. Data Eng., 2011

Gerontechnology Education: Beyond the Barriers.

Diane J. Cook, Maureen Schmitter-Edgecombe, Lawrence B. Holder

IEEE Pervasive Comput., 2011

Graph-Based Shape Analysis for MRI Classification.

S. Seth Long, Lawrence B. Holder

Int. J. Knowl. Discov. Bioinform., 2011

The COSE Ontology: Bringing the Semantic Web to Smart Environments.

Zachary Wemlinger, Lawrence B. Holder

Proceedings of the Toward Useful Services for Elderly and People with Disabilities, 2011

Using Graphs to Improve Activity Prediction in Smart Environments Based on Motion Sensor Data.

S. Seth Long, Lawrence B. Holder

Proceedings of the Toward Useful Services for Elderly and People with Disabilities, 2011

Graph Based Classification of MRI Data Based on the Ventricular System.

S. Seth Long, Lawrence B. Holder

Proceedings of the Data Mining Workshops (ICDMW), 2011

Handling of Numeric Ranges with the Subdue System.

Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Holder

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Graph-Based Knowledge Discovery: Compression versus Frequency.

William Eberle, Lawrence B. Holder

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

2010

Greedy Search Approach of Graph Mining.

Lawrence B. Holder

Proceedings of the Encyclopedia of Machine Learning, 2010

Frequent subgraph mining on a single large graph using sampling techniques.

Ruoyu Zou, Lawrence B. Holder

Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Conditional random fields for activity recognition in smart environments.

Ehsan Nazerfard, Barnan Das, Lawrence B. Holder, Diane J. Cook

Proceedings of the ACM International Health Informatics Symposium, 2010

Handling of Numeric Ranges for Graph-Based Knowledge Discovery.

Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Holder

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Using a Graph-Based Approach for Discovering Cybercrime.

William Eberle, Lawrence B. Holder, Jeffrey Graves

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2009

Substructure Analysis of Metabolic Pathways by Graph-Based Relational Learning.

Chang Hun You, Lawrence B. Holder, Diane J. Cook

Proceedings of the Biomedical Data and Applications, 2009

Graph-Based Data Mining.

Lawrence B. Holder

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

Introduction to the special issue on homeland and global security.

Larry Holder, Mohan Kumar, Raffaele Bruno

Pervasive Mob. Comput., 2009

Learning patterns in the dynamics of biological networks.

Chang Hun You, Lawrence B. Holder, Diane J. Cook

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Applying graph-based anomaly detection approaches to the discovery of insider threats.

William Eberle, Lawrence B. Holder

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2009

gRegress: Extracting Features from Graph Transactions for Regression.

Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook

Proceedings of the IJCAI 2009, 2009

Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data.

William Eberle, Lawrence B. Holder

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Graph-based approaches to insider threat detection.

William Eberle, Lawrence B. Holder

Proceedings of the Fifth Cyber Security and Information Intelligence Research Workshop, 2009

Faster computation of the direct product kernel for graph classification.

Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Empirical comparison of graph classification algorithms.

Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Mining for insider threats in business transactions and processes.

William Eberle, Lawrence B. Holder

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2008

Report on the First International Workshop on Mining Graphs and Complex Structures (MGCS'07).

Lawrence B. Holder, Xifeng Yan

SIGMOD Rec., 2008

Inference of Edge Replacement Graph Grammars.

Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook

Int. J. Artif. Intell. Tools, 2008

Inferring Graph Grammars by Detecting Overlap in Frequent Subgraphs.

Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook

Int. J. Appl. Math. Comput. Sci., 2008

Strategic Path Planning on the Basis of Risk vs. Time.

Ashish C. Singh, Lawrence B. Holder

Proceedings of the Entertainment Computing, 2008

Game-Based Simulation for the Evaluation of Threat Detection in a Seaport Environment.

Allen Christiansen, Damian Johnson, Lawrence B. Holder

Proceedings of the Entertainment Computing, 2008

Graph-Based Data Mining in Dynamic Networks: Empirical Comparison of Compression-Based and Frequency-Based Subgraph Mining.

Chang Hun You, Lawrence B. Holder, Diane J. Cook

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Temporal and structural analysis of biological networks in combination with microarray data.

Chang Hun You, Lawrence B. Holder, Diane J. Cook

Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008

Dynamic Graph-based Relational Learning of Temporal Patterns in Biological Networks Changing over Time.

Chang Hun You, Lawrence B. Holder, Diane J. Cook

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

2007

Learning from Supervised Graphs.

Joseph T. Potts, Diane J. Cook, Lawrence B. Holder

Proceedings of the Applied Graph Theory in Computer Vision and Pattern Recognition, 2007

Graph-Based Analysis of Human Transfer Learning Using a Game Testbed.

Diane J. Cook, Lawrence B. Holder, G. Michael Youngblood

IEEE Trans. Knowl. Data Eng., 2007

Inference of node replacement graph grammars.

Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook

Intell. Data Anal., 2007

Anomaly detection in data represented as graphs.

William Eberle, Lawrence B. Holder

Intell. Data Anal., 2007

Discovering Structural Anomalies in Graph-Based Data.

William Eberle, Lawrence B. Holder

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Mining for Structural Anomalies in Graph-based Data.

William Eberle, Lawrence B. Holder

Proceedings of the 2007 International Conference on Data Mining, 2007

Learning Node Replacement Graph Grammars in Metabolic Pathways.

Jacek P. Kukluk, Chang Hun You, Lawrence B. Holder, Diane J. Cook

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

2006

Advances in Knowledge Acquisition and Representation.

Lawrence B. Holder, Zdravko Markov, Ingrid Russell

Int. J. Artif. Intell. Tools, 2006

Structure Discovery in Sequentially-connected Data Streams.

Jeffrey Coble, Diane J. Cook, Lawrence B. Holder

Int. J. Artif. Intell. Tools, 2006

The 2005 International Florida Artificial Intelligence Research Society Conference: A Report.

Ingrid Russell, Zdravko Markov, Lawrence B. Holder, Diane J. Cook

AI Mag., 2006

Inference of Node Replacement Recursive Graph Grammars.

Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Classification of Threats Via a Multi-sensor Security Portal.

Amar Singh, Lawrence B. Holder

Proceedings of the Intelligence and Security Informatics, 2006

Detecting Anomalies in Cargo Using Graph Properties.

William Eberle, Lawrence B. Holder

Proceedings of the Intelligence and Security Informatics, 2006

Graph Grammar Induction on Structural Data for Visual Programming.

Keven Ates, Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook, Kang Zhang

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Application of Graph-based Data Mining to Metabolic Pathways.

Chang Hun You, Lawrence B. Holder, Diane J. Cook

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Building Test Beds for AI with the Q3 Mod Base.

G. Michael Youngblood, Billy Nolen, Michael Ross, Lawrence B. Holder

Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Conference, 2006

2005

Comparison of graph-based and logic-based multi-relational data mining.

Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook

SIGKDD Explor., 2005

Managing Adaptive Versatile environments.

G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder

Pervasive Mob. Comput., 2005

Editorial.

Ingrid Russell, Zdravko Markov, Brian Carse, Anthony G. Pipe, Lawrence B. Holder

Int. J. Pattern Recognit. Artif. Intell., 2005

Current And Future Trends In Feature Selection And Extraction For Classification Problems.

Lawrence B. Holder, Ingrid Russell, Zdravko Markov, Anthony G. Pipe, Brian Carse

Int. J. Pattern Recognit. Artif. Intell., 2005

Iterative Structure Discovery in Graph-Based Data.

Jeffrey Coble, Runu Rathi, Diane J. Cook, Lawrence B. Holder

Int. J. Artif. Intell. Tools, 2005

Graph-based Relational Learning with Application to Security.

Lawrence B. Holder, Diane J. Cook, Jeffrey Coble, Maitrayee Mukherjee

Fundam. Informaticae, 2005

Seamlessly engineering a smart environment.

G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder

Proceedings of the IEEE International Conference on Systems, 2005

Automation Intelligence for the Smart Environment.

G. Michael Youngblood, Edwin O. Heierman III, Lawrence B. Holder, Diane J. Cook

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Automated HPOMDP Construction through Data-mining Techniques in the Intelligent Environment Domain.

G. Michael Youngblood, Edwin O. Heierman III, Diane J. Cook, Lawrence B. Holder

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

A Serial Partitioning Approach to Scaling Graph-Based Knowledge Discovery.

Runu Rathi, Diane J. Cook, Lawrence B. Holder

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Learning from Examples in a Single Graph.

Joseph T. Potts, Diane J. Cook, Lawrence B. Holder

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Structure Discovery in Sequentially Connected Data.

Jeffrey Coble, Diane J. Cook, Lawrence B. Holder

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

A Learning Architecture for Automating the Intelligent Environment.

G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder

Proceedings of the Proceedings, 2005

2004

Algorithm and Experiments in Testing Planar Graphs for Isomorphism.

Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook

J. Graph Algorithms Appl., 2004

Enhancing computer science education with a wireless intelligent simulation environment.

Diane J. Cook, Manfred Huber, Ramesh Yerraballi, Lawrence B. Holder

J. Comput. High. Educ., 2004

Structural web search engine.

Arash Rakhshan, Lawrence B. Holder, Diane J. Cook

Int. J. Artif. Intell. Tools, 2004

Mdl-based context-free graph grammar induction and applications.

Istvan Jonyer, Lawrence B. Holder, Diane J. Cook

Int. J. Artif. Intell. Tools, 2004

Attribute-Value Selection Based on Minimum Description Length.

Istvan Jonyer, Lawrence B. Holder, Diane J. Cook

Proceedings of the International Conference on Artificial Intelligence, 2004

Agent-based Players for a First-person Entertainment-based Real-time Artificial Environment.

G. Michael Youngblood, Lawrence B. Holder

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

Structure Discovery from Sequential Data.

Jeffrey Coble, Diane J. Cook, Lawrence B. Holder, Runu Rathi

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

2003

Graph-based relational learning: current and future directions.

Lawrence B. Holder, Diane J. Cook

SIGKDD Explor., 2003

Using a Graph-Based Data Mining System to Perform Web Search.

Diane J. Cook, Nitish Manocha, Lawrence B. Holder

Int. J. Pattern Recognit. Artif. Intell., 2003

Evaluating Human-Consistent Behavior in a Real-time First-person Entertainment-based Artificial Environment.

G. Michael Youngblood, Lawrence B. Holder

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System.

Ritesh Mehta, Diane J. Cook, Lawrence B. Holder

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

MDL-Based Context-Free Graph Grammar Induction.

Istvan Jonyer, Lawrence B. Holder, Diane J. Cook

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

2002

Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems.

Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook

Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

Graph-Based Relational Concept Learning.

Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook

Proceedings of the Machine Learning, 2002

Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming.

Sanghamitra Bandyopadhyay, Ujjwal Maulik, Diane J. Cook, Lawrence B. Holder, Yousuf Ajmerwala

Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

2001

Cover story: structural Web search using a graph-based discovery system.

Nitish Manocha, Diane J. Cook, Lawrence B. Holder

Intell., 2001

Approaches to Parallel Graph-Based Knowledge Discovery.

Diane J. Cook, Lawrence B. Holder, Gehad Galal, Ron Maglothin

J. Parallel Distributed Comput., 2001

A client-server computational tool for integrated artificial intelligence curriculum.

Lawrence B. Holder, Diane J. Cook

J. Comput. High. Educ., 2001

Graph-Based Hierarchical Conceptual Clustering.

Istvan Jonyer, Lawrence B. Holder, Diane J. Cook

Int. J. Artif. Intell. Tools, 2001

Structural Web Search Using a Graph-Based Discovery System.

Nitish Manocha, Diane J. Cook, Lawrence B. Holder

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

A Client-Server Interactive Tool for Integrated Artificial Intelligence Curriculum.

Diane J. Cook, Lawrence B. Holder

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

2000

Graph-Based Data Mining.

Diane J. Cook, Lawrence B. Holder

IEEE Intell. Syst., 2000

Structural Knowledge Discovery Used to Analyze Earthquake Activity.

Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook

Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000

Discovering Structural Patterns in Telecommunications Data.

Andi Baritchi, Diane J. Cook, Lawrence B. Holder

Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, 2000

Graph-Based Hierarchical Conceptual Clustering in Structural Databases.

Istvan Jonyer, Lawrence B. Holder, Diane J. Cook

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Graph Based Concept Learning.

Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

Exploiting Parallelism in a Structural Scientific Discovery System to Improve Scalability.

Gehad Galal, Diane J. Cook, Lawrence B. Holder

J. Am. Soc. Inf. Sci., 1999

Knowledge discovery in molecular biology: Identifying structural regularities in proteins.

Shaobing Su, Diane J. Cook, Lawrence B. Holder

Intell. Data Anal., 1999

Experimentation-Driven Knowledge Acquisition for Planning.

Kang Soo Tae, Diane J. Cook, Lawrence B. Holder

Comput. Intell., 1999

Application of Knowledge Discovery to Molecular Biology: Identifying Structural Regularities in Proteins.

Shaobing Su, Diane J. Cook, Lawrence B. Holder

Proceedings of the 4th Pacific Symposium on Biocomputing, 1999

Applying the Subdue Substructure Discovery System to the Chemical Toxicity Domain.

Ravindra N. Chittimoori, Lawrence B. Holder, Diane J. Cook

Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

Structural Knowledge Discovery in Chemical and Spatio-Temporal Databases.

Ravindra N. Chittimoori, Jesus A. Gonzalez, Lawrence B. Holder

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

Discovering Concepts in Structural Data.

Diane J. Cook, Lawrence B. Holder, Gehad Galal

Proceedings of the Pattern Discovery in Biomolecular Data: Tools, 1999

1998

Exploiting Parallelism in Knowledge Discovery Systems to Improve Scalability.

Gehad Galal, Diane J. Cook, Lawrence B. Holder

Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences, 1998

Coupling Two Complementary Knowledge Discovery Systems.

Lawrence B. Holder, Diane J. Cook

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

1997

An Emprirical Study of Domain Knowledge and Its Benefits to Substructure Discovery.

Surnjani Djoko, Diane J. Cook, Lawrence B. Holder

IEEE Trans. Knowl. Data Eng., 1997

Improving Scalability in a Scientific Discovery System by Exploiting Parallelism.

Gehad Galal, Diane J. Cook, Lawrence B. Holder

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

1996

Decision-Theoretic Cooperative Sensor Planning.

Diane J. Cook, Piotr J. Gmytrasiewicz, Lawrence B. Holder

IEEE Trans. Pattern Anal. Mach. Intell., 1996

Scalable Discovery of Informative Structural Concepts Using Domain Knowledge.

Diane J. Cook, Lawrence B. Holder, Surnjani Djoko

IEEE Expert, 1996

User-Centered System Decomposition: Z-Based Requirements Clustering.

Pei Hsia, Chih-Tung Hsu, David Chenho Kung, Lawrence B. Holder

Proceedings of the 2nd International Conference on Requirements Engineering, 1996

1995

Knowledge Discovery from Structural Data.

Diane J. Cook, Lawrence B. Holder, Surnjani Djoko

J. Intell. Inf. Syst., 1995

Analyzing the Benefits of Domain Knowledge in Substructure Discovery.

Surnjani Djoko, Diane J. Cook, Lawrence B. Holder

Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Intermediate Decision Trees.

Lawrence B. Holder

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

Substructure Discovery Using Minimum Description Length and Background Knowledge.

Diane J. Cook, Lawrence B. Holder

J. Artif. Intell. Res., 1994

Substucture Discovery in the SUBDUE System.

Lawrence B. Holder, Diane J. Cook, Surnjani Djoko

Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

An Empirical Approach to Solving the General Utility Problem in Speedup Learning.

Anurag Chaudhry, Lawrence B. Holder

Proceedings of the Seventh International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1994

1993

Discovery of Inexact Concepts from Structural Data.

Lawrence B. Holder, Diane J. Cook

IEEE Trans. Knowl. Data Eng., 1993

1992

Fuzzy Substructure Discovery.

Lawrence B. Holder, Diane J. Cook, Horst Bunke

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

Empirical Analysis of the General Utility Problem in Machine Learning.

Lawrence B. Holder

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

Maintaining the utility of learned knowledge using model-based adaptive control

Lawrence B. Holder

PhD thesis, 1991

1990

Accelerated learning on the connection machine.

Diane J. Cook, Lawrence B. Holder

Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing, 1990

Application of Machine Learning to the Maintenance of Knowledge-Based Performance.

Lawrence B. Holder

Proceedings of the Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1990, July 15-18, 1990, The Mills House Hotel, Charleston, SC, USA, 1990

The General Utility Problem in Machine Learning.

Lawrence B. Holder

Proceedings of the Machine Learning, 1990

1989

Empirical Substructure Discovery.

Lawrence B. Holder

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

Towards Intelligent Machine Learning Algorithms.

Robert E. Stepp, Bradley L. Whitehall, Lawrence B. Holder

Proceedings of the 8th European Conference on Artificial Intelligence, 1988