Myra Spiliopoulou

Orcid: 0000-0002-1828-5759

Affiliations:
  • Otto-von-Guericke-University Magdeburg, Germany


According to our database1, Myra Spiliopoulou authored at least 255 papers between 1992 and 2024.

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Bibliography

2024
Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction.
Expert Syst. Appl., 2024

Training and Validating a Treatment Recommender with Partial Verification Evidence.
CoRR, 2024

Feature Ranking for the Prediction of Energy Consumption on CNC Machining Processes.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2024

Understanding the Impact of Unexpected Cobot Movements on Human Stress Levels: A Time Series Classification Task.
Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Predicting User Engagement in mHealth Apps with Neighborhood-based Approaches.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023
Prediction meets time series with gaps: User clusters with specific usage behavior patterns.
Artif. Intell. Medicine, August, 2023

XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series.
Neural Comput. Appl., May, 2023

Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing.
Frontiers Comput. Neurosci., February, 2023

Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks.
Frontiers Comput. Neurosci., February, 2023

WISHFUL - Website Extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage.
Proceedings of the Information Integration and Web Intelligence, 2023

A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Challenges for Active Feature Acquisition and Imputation on Data Streams.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023

Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features.
Proceedings of the Discovery Science - 26th International Conference, 2023

Predicting Patient-Based Time-Dependent Mobile Health Data.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Inferring Salient Motifs during Learning Experiments.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Productive teaming under uncertainty: when a human and a machine classify objects together.
Proceedings of the IEEE International Conference on Advanced Robotics and Its Social Impacts, 2023

2022
Assessment of Immune Status Using Inexpensive Cytokines: A Literature Review and Learning Approaches.
Sensors, 2022

Virtual Reality for Medical Annotation Tasks: A Systematic Review.
Frontiers Virtual Real., 2022

A cost-based multi-layer network approach for the discovery of patient phenotypes.
CoRR, 2022

Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Reducing Missingness in a Stream through Cost-Aware Active Feature Acquisition.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Data-Driven Prediction of Athletes' Performance Based on Their Social Media Presence.
Proceedings of the Discovery Science - 25th International Conference, 2022

Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps.
Proceedings of the Artificial Intelligence in Medicine, 2022

Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data.
Proceedings of the Artificial Intelligence in Medicine, 2022

2021
LAC: Latent Authorial Clustering of shorter texts.
Softw. Impacts, 2021

Potential of Point-of-Care and At-Home Assessment of Immune Status via Rapid Cytokine Detection and Questionnaire-Based Anamnesis.
Sensors, 2021

Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users.
Entropy, 2021

Guest editorial: Special issue on mining for health.
Data Min. Knowl. Discov., 2021

Probabilistic Active Learning for Active Class Selection.
CoRR, 2021

A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Juxtaposing 5G Coronavirus Tweets with General Coronavirus Tweets During the Early Months of Coronavirus Outbreak.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

User-centric vs whole-stream learning for EMA prediction.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform.
Sensors, 2020

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity.
Int. J. Data Sci. Anal., 2020

Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data.
CoRR, 2020

Visual Analysis of Missing Values in Longitudinal Cohort Study Data.
Comput. Graph. Forum, 2020

Resource management for model learning at entity level.
Ann. des Télécommunications, 2020

Active feature acquisition on data streams under feature drift.
Ann. des Télécommunications, 2020

Assessing the Difficulty of Labelling an Instance in Crowdworking.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data.
Sensors, 2019

Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus-stress associations based on the TrackYourTinnitus mobile platform.
Int. J. Data Sci. Anal., 2019

Introduction to the special issue on social data analytics in medicine and healthcare.
Int. J. Data Sci. Anal., 2019

Applicability of Immersive Analytics in Mixed Reality: Usability Study.
IEEE Access, 2019

Exploiting entity information for stream classification over a stream of reviews.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction.
Proceedings of the Multiple-Aspect Analysis of Semantic Trajectories, 2019

Assessing the Reliability of Crowdsourced Labels via Twitter.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Mining and Model Understanding on Medical Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

Visual Analytics for Epidemiology.
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Towards a Hierarchical Approach for Outlier Detection in Industrial Production Settings.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

Design and Implementation of a Scalable Crowdsensing Platform for Geospatial Data of Tinnitus Patients.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Convolutional Neural Networks for Image Recognition in Mixed Reality Using Voice Command Labeling.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2019

2018
Forgetting techniques for stream-based matrix factorization in recommender systems.
Knowl. Inf. Syst., 2018

How do annotators label short texts? Toward understanding the temporal dynamics of tweet labeling.
Inf. Sci., 2018

Introduction to the special issue on Data Science in Europe.
Int. J. Data Sci. Anal., 2018

A framework for expert-driven subpopulation discovery and evaluation using subspace clustering for epidemiological data.
Expert Syst. Appl., 2018

How Does Tweet Difficulty Affect Labeling Performance of Annotators?
CoRR, 2018

Personalized recommender systems for product-line configuration processes.
Comput. Lang. Syst. Struct., 2018

ORSUM Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams.
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Discovering, selecting and exploiting feature sequence records of study participants for the classification of epidemiological data on hepatic steatosis.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Predicting polarities of entity-centered documents without reading their contents.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Active Stream Learning with an Oracle of Unknown Availability for Sentiment Prediction.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), 2018

Predicting Worker Disagreement for More Effective Crowd Labeling.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Learning under Feature Drifts in Textual Streams.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Transformation of Temperature Timeseries into Features that Characterize Patients with Diabetic Autonomic Nerve Disorder.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Finding Tinnitus Patients with Similar Evolution of Their Ecological Momentary Assessments.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

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

Stream-based semi-supervised learning for recommender systems.
Mach. Learn., 2017

Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017.
Mach. Learn., 2017

Visual Subpopulation Discovery and Validation in Cohort Study Data.
CoRR, 2017

Subpopulation Discovery and Validation in Epidemiological Data.
Proceedings of the 8th International EuroVis Workshop on Visual Analytics, 2017

Visual Analytics of Missing Data in Epidemiological Cohort Studies.
Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

Studying the Potential of Multi-target Classification to Characterize Combinations of Classes with Skewed Distribution.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

ICE: Interactive Classification Rule Exploration on Epidemiological Data.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Mobile Crowdsensing for the Juxtaposition of Realtime Assessments and Retrospective Reporting for Neuropsychiatric Symptoms.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal re-organization.
Inf. Sci., 2016

SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning.
Proceedings of the Workshop on Active Learning: Applications, 2016

A feature-based personalized recommender system for product-line configuration.
Proceedings of the 2016 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2016

Scalable Online Top-N Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

Multi-Class Probabilistic Active Learning.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Learning Pressure Patterns for Patients with Diabetic Foot Syndrome.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Identifying Relevant Features for a Multi-factorial Disorder with Constraint-Based Subspace Clustering.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

2015
Discovering and monitoring product features and the opinions on them with OPINSTREAM.
Neurocomputing, 2015

Learning Relational User Profiles and Recommending Items as Their Preferences Change.
Int. J. Artif. Intell. Tools, 2015

A framework for validating the merit of properties that predict the influence of a twitter user.
Expert Syst. Appl., 2015

Incremental Active Opinion Learning Over a Stream of Opinionated Documents.
CoRR, 2015

Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI).
Brain Informatics, 2015

Forgetting methods for incremental matrix factorization in recommender systems.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Ageing-Based Multinomial Naive Bayes Classifiers Over Opinionated Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Medical Mining: KDD 2015 Tutorial.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Probabilistic Active Learning in Datastreams.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Semi-supervised Learning for Stream Recommender Systems.
Proceedings of the Discovery Science - 18th International Conference, 2015

Clustering-Based Optimised Probabilistic Active Learning (COPAL).
Proceedings of the Discovery Science - 18th International Conference, 2015

Can We Classify the Participants of a Longitudinal Epidemiological Study from Their Previous Evolution?
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014
Open challenges for data stream mining research.
SIGKDD Explor., 2014

Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis.
Expert Syst. Appl., 2014

Summarizing dynamic Social Tagging Systems.
Expert Syst. Appl., 2014

xStreams: Recommending Items to Users with Time-evolving Preferences.
Proceedings of the 4th International Conference on Web Intelligence, 2014

Predicting the Performance of Collaborative Filtering Algorithms.
Proceedings of the 4th International Conference on Web Intelligence, 2014

Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Adaptive semi supervised opinion classifier with forgetting mechanism.
Proceedings of the Symposium on Applied Computing, 2014

Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

A Semi-Supervised Self-Adaptive Classifier over Opinionated Streams.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Probabilistic Active Learning: A Short Proposition.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Selective Forgetting for Incremental Matrix Factorization in Recommender Systems.
Proceedings of the Discovery Science - 17th International Conference, 2014

Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency.
Proceedings of the Discovery Science - 17th International Conference, 2014

Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

Are Some Brain Injury Patients Improving More Than Others?
Proceedings of the Brain Informatics and Health - International Conference, 2014

2013
Referenzprozessabläufe für Telekommunikationsunternehmen - Eine Erweiterung des eTOM-Modells.
Wirtschaftsinf., 2013

Reference Process Flows for Telecommunication Companies - An Extension of the eTOM Model.
Bus. Inf. Syst. Eng., 2013

MONIC and Followups on Modeling and Monitoring Cluster Transitions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Framework for Storing and Processing Relational Entities in Stream Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Correcting the Usage of the Hoeffding Inequality in Stream Mining.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Extracting Opinionated (Sub)Features from a Stream of Product Reviews.
Proceedings of the Discovery Science - 16th International Conference, 2013

Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only?
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region.
Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013

2012
FINGERPRINT: Summarizing Cluster Evolution in Dynamic Environments.
Int. J. Data Warehous. Min., 2012

A holistic framework for the implementation of a next generation network.
Int. J. Bus. Inf. Syst., 2012

Guest editorial: special issue on a decade of mining the Web.
Data Min. Knowl. Discov., 2012

Discovering global and local bursts in a stream of news.
Proceedings of the ACM Symposium on Applied Computing, 2012

A Semi-supervised Incremental Clustering Algorithm for Streaming Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Transformation in Telecommunication - Analyse und Clustering von Real-life Projekten.
Proceedings of the Multikonferenz Wirtschaftsinformatik 2012: Tagungsband der MKWI 2012, Braunschweig, Germany, February 29, 2012

Where Are We Going? Predicting the Evolution of Individuals.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Stream Mining in Education? Dealing with Evolution.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

Framework for Computer Aided Analysis of Medical Protocols in a Hospital.
Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012

2011
On the distinctiveness of tags in collaborative tagging systems.
Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 2011

Summarization Meets Visualization on Online Social Networks.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Query-Sets + + : A Scalable Approach for Modeling Web Sites.
Proceedings of the String Processing and Information Retrieval, 2011

Classification Rule Mining for a Stream of Perennial Objects.
Proceedings of the Rule-Based Reasoning, Programming, and Applications, 2011

Online Clustering of High-Dimensional Trajectories under Concept Drift.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification.
Proceedings of the IJCAI 2011, 2011

Summarizing Cluster Evolution in Dynamic Environments.
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011

Extracting cross references from life science databases for search result ranking.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Evolution in Social Networks: A Survey.
Proceedings of the Social Network Data Analytics, 2011

2010
Privacy-preserving query log mining for business confidentiality protection.
ACM Trans. Web, 2010

Novel data stream pattern mining report on the StreamKDD'10 workshop.
SIGKDD Explor., 2010

Services in electronic telecommunication markets: a framework for planning the virtualization of processes.
Electron. Mark., 2010

Guest editorial: Special Issue - 13th International Conference on Natural Language and Information Systems (NLDB 2008).
Data Knowl. Eng., 2010

Density-based semi-supervised clustering.
Data Min. Knowl. Discov., 2010

Tree Induction over Perennial Objects.
Proceedings of the Scientific and Statistical Database Management, 2010

Eigenvector-based clustering using aggregated similarity matrices.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Making Business Systems in the Telecommunication Industry More Customer-Oriented.
Proceedings of the Information Systems Development, 2010

Visually Summarizing Semantic Evolution in Document Streams with Topic Table.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2010

Visually Summarizing the Evolution of Documents under a Social Tag.
Proceedings of the KDIR 2010, 2010

Crosssense - Sensemaking in a Folksonomy with Cross-modal Clustering over Content and User Activities.
Proceedings of the KDIR 2010, 2010

2009
Tracing cluster transitions for different cluster types.
Control. Cybern., 2009

Spectral Clustering in Social-Tagging Systems.
Proceedings of the Web Information Systems Engineering, 2009

Combining Multiple Interrelated Streams for Incremental Clustering.
Proceedings of the Scientific and Statistical Database Management, 2009

Topic Evolution in a Stream of Documents.
Proceedings of the SIAM International Conference on Data Mining, 2009

Tag-Aware Spectral Clustering of Music Items.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Finding Stops in Error-Prone Trajectories of Moving Objects with Time-Based Clustering.
Proceedings of the Intelligent Interactive Assistance and Mobile Multimedia Computing, 2009

Stream Clustering of Growing Objects.
Proceedings of the Discovery Science, 12th International Conference, 2009

C-DenStream: Using Domain Knowledge on a Data Stream.
Proceedings of the Discovery Science, 12th International Conference, 2009

Automated Constraint Selection for Semi-supervised Clustering Algorithm.
Proceedings of the Current Topics in Artificial Intelligence, 2009

2008
Higher order mining.
SIGKDD Explor., 2008

WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report.
SIGKDD Explor., 2008

On exploiting the power of time in data mining.
SIGKDD Explor., 2008

Discovering Groups of Sibling Terms from Web Documents with XTREEM-SG.
J. Data Semant., 2008

Contributing to Market Monitoring with Topic Evolution Monitoring.
Datenbank-Spektrum, 2008

Lifelong Knowledge Acquisition with Topic Monitoring.
Proceedings of the 38. Jahrestagung der Gesellschaft für Informatik, Beherrschbare Systeme, 2008

08421 Working Group: Imprecision, Diversity and Uncertainty: Disentangling Threads in Uncertainty Management.
Proceedings of the Uncertainty Management in Information Systems, 12.10. - 17.10.2008, 2008

Studying Community Dynamics with an Incremental Graph Mining Algorithm.
Proceedings of the Learning from the past & charting the future of the discipline. 14th Americas Conference on Information Systems, 2008

2007
WebKDD/SNAKDD 2007: web mining and social network analysis post-workshop report.
SIGKDD Explor., 2007

Data Mining for Community Dynamics.
Künstliche Intell., 2007

Acquiring Semantic Sibling Associations from Web Documents.
Int. J. Data Warehous. Min., 2007

DENGRAPH: A Density-based Community Detection Algorithm.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Users in Volatile Communities: Studying Active Participation and Community Evolution.
Proceedings of the User Modeling 2007, 11th International Conference, 2007

C-DBSCAN: Density-Based Clustering with Constraints.
Proceedings of the Rough Sets, 2007

Domain Relevance on Term Weighting.
Proceedings of the Natural Language Processing and Information Systems, 2007

Website Privacy Preservation for Query Log Publishing.
Proceedings of the Mining Massive Data Sets for Security, 2007

Understanding Change before Adaptation: Tracing Changes over a Stream of Data.
Proceedings of the LWA 2007: Lernen - Wissen, 2007

Constraint-Based Query Clustering.
Proceedings of the Advances in Intelligent Web Mastering, Proceedings of the 5th Atlantic Web Intelligence Conference - AWIC 2007, Fontainebleau, France, June 25, 2007

2006
WebKDD 2006: web mining and web usage analysis post-workshop report.
SIGKDD Explor., 2006

Mining and Visualizing the Evolution of Subgroups in Social Networks.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Expanding the taxonomies of bibliographic archives with persistent long-term themes.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Discovering Multi Terms and Co-hyponymy from XHTML Documents with XTREEM.
Proceedings of the Knowledge Discovery from XML Documents, First International Workshop, 2006

MONIC: modeling and monitoring cluster transitions.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Discovering Semantic Sibling Groups from Web Documents with XTREEM-SG.
Proceedings of the Managing Knowledge in a World of Networks, 2006

Community dynamics mining.
Proceedings of the Fourteenth European Conference on Information Systems, 2006

Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Discovering Emerging Topics in Unlabelled Text Collections.
Proceedings of the Advances in Databases and Information Systems, 2006

2005
WebKDD 2005: web mining and web usage analysis post-workshop report.
SIGKDD Explor., 2005

The Influence of Incentives and Culture on Knowledge Sharing.
Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS-38 2005), 2005

Evaluation of Ontology Enhancement Tools.
Proceedings of the Semantics, Web and Mining, Joint International Workshops, 2005

RELFIN - Topic Discovery for Ontology Enhancement and Annotation.
Proceedings of the Semantic Web: Research and Applications, 2005

Experimental Investigation of the Effects of Different Market Mechanisms for Electronic Knowledge Markets.
Proceedings of the 13th European Conference on Information Systems, 2005

2004
Overview of the ACM SIGKDD 2004 workshops.
SIGKDD Explor., 2004

Coupling Information Extraction and Data Mining for Ontology Learning in PARMENIDES.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2004

Towards an Evaluation Framework for Knowledge Management Systems.
Proceedings of the Practical Aspects of Knowledge Management, 5th International Conference, 2004

Deriving Multiple Topics to Label Small Document Regions.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

Temporal Evolution and Local Patterns.
Proceedings of the Local Pattern Detection, 2004


2003
A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis.
INFORMS J. Comput., 2003

Kursrelevanzprognose von Ad-hoc-Meldungen: Text Mining wider die Informationsüberlastung im Mobile Banking.
Proceedings of the Wirtschaftsinformatik 2003, Medien - Märkte - Mobilität, Band II, 2003

A Roadmap for Web Mining: From Web to Semantic Web.
Proceedings of the Web Mining: From Web to Semantic Web, 2003

Monitoring the Evolution of Web Usage Patterns.
Proceedings of the Web Mining: From Web to Semantic Web, 2003

Efficient Monitoring of Patterns in Data Mining Environments.
Proceedings of the Advances in Databases and Information Systems, 2003

2002
A Survey of Temporal Knowledge Discovery Paradigms and Methods.
IEEE Trans. Knowl. Data Eng., 2002

WEBKDD 2002 - Web Mining for Usage Patterns & Profiles.
SIGKDD Explor., 2002

Employing Text Mining for Semantic Tagging in DIAsDEM.
Künstliche Intell., 2002

Expertenrat in E-Marketplaces.
HMD Prax. Wirtsch., 2002

Web Mining.
Data Min. Knowl. Discov., 2002

Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis.
Proceedings of the WEBKDD 2002, 2002

Modelling and Incorporating Background Knowledge in the Web Mining Process.
Proceedings of the Pattern Detection and Discovery, 2002

Building and Exploiting Ad Hoc Concept Hierarchies for Web Log Analysis.
Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002

2001
Metadatabases in environmental information systems: the Locator and Communication Service (VKS-Umwelt).
Environ. Model. Softw., 2001

Data Mining for Measuring and Improving the Success of Web Sites.
Data Min. Knowl. Discov., 2001

Extraction of Semantic XML DTDs from Texts Using Data Mining Techniques.
Proceedings of the K-CAP 2001 Workshop on Knowledge Markup and Semantic Annotation Victoria, 2001

The DIAsDEM Framework for Converting Domain-Specific Texts into XML Documents with Data Mining Techniques.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Integrating Data and Probabilistically Structured Text Documents.
Proceedings of the Proceedings 5. Workshop "Föderierte Datenbanken" und GI Arbeitskreistreffen "Konzepte des Data Warehousing"., 2001

Monitoring Change in Mining Results.
Proceedings of the Data Warehousing and Knowledge Discovery, 2001

2000
Analysis of Navigation Behaviour in Web Sites Integrating Multiple Information Systems.
VLDB J., 2000

WEBKDD 2000 - Web Mining for E-Commerce.
SIGKDD Explor., 2000

WebKDD-99: Workshop on Web Usage Analysis and User Profiling.
SIGKDD Explor., 2000

Building HyperView wrappers for publisher Web sites.
Int. J. Digit. Libr., 2000

Data Mining to Measure and Improve the Success of Web Sites
CoRR, 2000

Web usage mining for Web site evaluation.
Commun. ACM, 2000

An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research.
Proceedings of the Temporal, 2000

Discerning Behavioral Properties by Analyzing Transaction Logs.
Proceedings of the Applied Computing 2000, 2000

Web mining for e-commerce (workshop session - title only).
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999
A Bibliography of Temporal, Spatial and Spatio-Temporal Data Mining Research.
SIGKDD Explor., 1999

Data Mining for the Web.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Managing Interesting Rules in Sequence Mining.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Improving the Effectiveness of a Web Site with Web Usage Mining.
Proceedings of the Web Usage Analysis and User Profiling, 1999

Modeling Interactions Based on Consistent Patterns.
Proceedings of the Fourth IFCIS International Conference on Cooperative Information Systems, 1999

1998
WUM - A Tool for WWW Ulitization Analysis.
Proceedings of the World Wide Web and Databases, 1998

Quality Driven Source Selection Using Data Envelope Analysis.
Proceedings of the Third Conference on Information Quality (IQ 1998), 1998

1997
WIND - A Warehouse for Internet Data.
Proceedings of the Advances in Databases, 15th British National Conferenc on Databases, 1997

1996
Parallel Optimization of Large Join Queries with Set Operators and Aggregates in a Parallel Environment Supporting Pipeline.
IEEE Trans. Knowl. Data Eng., 1996

A Cost Model for the Estimation Query Execution Time in a Parallel Environment Supporting Pipeline.
Comput. Artif. Intell., 1996

Query Optimization in Multidatabases: A Calibration Mechanism Identifying the Optimization Principles of a Participant Database.
Proceedings of the Kurzfassungen 8. Workshop Grundlage von Datenbanken, 1996

Modelling Resource Utilization in Pipelined Query Execution.
Proceedings of the Euro-Par '96 Parallel Processing, 1996

1995
A Multimedia Title Development Environment (MTDE).
Inf. Process. Manag., 1995

Query Processing for Multimedia Applications on Optical Media.
Inf. Process. Lett., 1995

1994
A Hypermedia Tourist Guide.
Proceedings of the International Conference on Information and Communications Technologies in Tourism, 1994

1993
Parallel Optimisation of Join Queries Using an Enhanced Iterative Improvement Technique.
Proceedings of the PARLE '93, 1993

1992
Translation of SQL queries into a graph structure: query transformations and pre-optimization issues in a pipeline multiprocessor environment.
Inf. Syst., 1992

Using Parallelism and Pipeline for the Optimisation of Join Queries.
Proceedings of the PARLE '92: Parallel Architectures and Languages Europe, 1992


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