Mohammed J. Zaki

Orcid: 0000-0003-4711-0234

Affiliations:
  • Rensselaer Polytechnic Institute, Department of Computer Science, Troy, USA


According to our database1, Mohammed J. Zaki authored at least 229 papers between 1995 and 2024.

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Bibliography

2024
GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks.
Mach. Intell. Res., April, 2024

Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers.
CoRR, 2024

2023
Health-guided recipe recommendation over knowledge graphs.
J. Web Semant., 2023

Energy Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

End-to-end Differentiable Clustering with Associative Memories.
Proceedings of the International Conference on Machine Learning, 2023

GVdoc - Graph-based Visual DOcument Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics.
ACM Trans. Knowl. Discov. Data, 2022

Modern Hopfield Networks for graph embedding.
Frontiers Big Data, 2022

Associative Learning for Network Embedding.
CoRR, 2022

Towards Neural Numeric-To-Text Generation From Temporal Personal Health Data.
CoRR, 2022

FETILDA: An Effective Framework For Fin-tuned Embeddings For Long Financial Text Documents.
CoRR, 2022

TINKER: A framework for Open source Cyberthreat Intelligence.
Proceedings of the IEEE International Conference on Trust, 2022

Global Self-Attention as a Replacement for Graph Convolution.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Food Knowledge Representation Learning with Adversarial Substitution.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

HG2Vec: Improved Word Embeddings from Dictionary and Thesaurus Based Heterogeneous Graph.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
A Framework for Generating Summaries from Temporal Personal Health Data.
ACM Trans. Comput. Heal., 2021

Keyphrase Extraction Using Neighborhood Knowledge Based on Word Embeddings.
CoRR, 2021

Edge-augmented Graph Transformers: Global Self-attention is Enough for Graphs.
CoRR, 2021

An Efficient Heartbeats Classifier Based on Optimizing Convolutional Neural Network Model.
IEEE Access, 2021

Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph.
Proceedings of the WSDM '21, 2021

20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Can a Fruit Fly Learn Word Embeddings?
Proceedings of the 9th International Conference on Learning Representations, 2021

Nutrition Guided Recipe Search via Pre-trained Recipe Embeddings.
Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

Enhancing Clinical Relevance of Health Behavior Insights via Semantics.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
A Survey of Figurative Language and Its Computational Detection in Online Social Networks.
ACM Trans. Web, 2020

MALOnt: An Ontology for Malware Threat Intelligence.
CoRR, 2020

Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks.
CoRR, 2020

Personal Health Knowledge Graphs for Patients.
CoRR, 2020

A Framework for Generating Explanations from Temporal Personal Health Data.
CoRR, 2020

A Comparative Analysis of Temporal Long Text Similarity: Application to Financial Documents.
Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

RECIPTOR: An Effective Pretrained Model for Recipe Representation Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Combining User Preferences and Health Needs in Personalized Food Recommendation.
Proceedings of the AMIA 2020, 2020

2019
Deep Iterative and Adaptive Learning for Graph Neural Networks.
CoRR, 2019

Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model.
CoRR, 2019

FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation.
Proceedings of the Semantic Web - ISWC 2019, 2019

FoodKG Enabled Q&A Application.
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Framework for Benchmarking Discrimination-Aware Models in Machine Learning.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Closed Itemset Mining and Nonredundant Association Rule Mining.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Multiscale and Multimodal Analysis for Computational Biology.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Using supervised learning techniques for entity relationships.
Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

Analysis of year-over-year changes in Risk Factors Disclosure in 10-K filings.
Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

Financial Entity Identification and Information Integration (FEIII) 2018 Challenge: The Report of the Organizing Committee.
Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

Embeddings for the Identification of Aircraft Faults (MERIT).
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017
Preface: Selected Papers from the Workshop Bioinformatics and Artificial Intelligence Joined with the International Joint Conference on Artificial Intelligence.
J. Comput. Biol., 2017

Comparative text analytics via topic modeling in banking.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Graph Data Mining with Arabesque.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

KATE: K-Competitive Autoencoder for Text.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
A distributed approach for graph mining in massive networks.
Data Min. Knowl. Discov., 2016

Sampling frequent and minimal boolean patterns: theory and application in classification.
Data Min. Knowl. Discov., 2016

A Query-oriented Approach for Relevance in Citation Networks.
Proceedings of the 25th International Conference on World Wide Web, 2016

Investigating bank failures using text mining.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016


Road to Freedom in Big Data Analytics.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

Parallel graph mining with dynamic load balancing.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Knowledge Discovery Using Big Data in Biomedical Systems.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Learning sequential classifiers from long and noisy discrete-event sequences efficiently.
Data Min. Knowl. Discov., 2015

Arabesque: A System for Distributed Graph Mining - Extended version.
CoRR, 2015

Arabesque: a system for distributed graph mining.
Proceedings of the 25th Symposium on Operating Systems Principles, 2015

2014
Parallel Graph Mining with GPUs.
Proceedings of the 3rd International Workshop on Big Data, 2014

Reachability Queries in Very Large Graphs: A Fast Refined Online Search Approach.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Data Mining and Analysis: Fundamental Concepts and Algorithms.
Cambridge University Press, ISBN: 9780521766333, 2014

2013
DAGGER: A Scalable Index for Reachability Queries in Large Dynamic Graphs
CoRR, 2013

Trends in computer science research.
Commun. ACM, 2013

Stochastic subspace search for top-k multi-view clustering.
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, 2013

ProfileRank: finding relevant content and influential users based on information diffusion.
Proceedings of the 7th Workshop on Social Network Mining and Analysis, 2013

Approximate graph mining with label costs.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Clustering Biological Data.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
GRAIL: a scalable index for reachability queries in very large graphs.
VLDB J., 2012

Biological knowledge discovery and data mining.
Sci. Program., 2012

Effective graph classification based on topological and label attributes.
Stat. Anal. Data Min., 2012

Mining Attribute-structure Correlated Patterns in Large Attributed Graphs.
Proc. VLDB Endow., 2012

Graph mining for discovering infrastructure patterns in configuration management databases.
Knowl. Inf. Syst., 2012

Towards a Better Quality Metric for Graph Cluster Evaluation.
J. Inf. Data Manag., 2012

BitPath -- Label Order Constrained Reachability Queries over Large Graphs
CoRR, 2012

Sampling minimal frequent boolean (DNF) patterns.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Characterizing the effectiveness of twitter hashtags to detect and track online population sentiment.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

A Journey in Pattern Mining.
Proceedings of the Journeys to Data Mining, 2012

2011
SimClus: an effective algorithm for clustering with a lower bound on similarity.
Knowl. Inf. Syst., 2011

Calibrated lazy associative classification.
Inf. Sci., 2011

Data Integration via Constrained Clustering: An Application to Enzyme Clustering.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Is There a Best Quality Metric for Graph Clusters?
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Infrastructure Pattern Discovery in Configuration Management Databases via Large Sparse Graph Mining.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Survey of Link Prediction in Social Networks.
Proceedings of the Social Network Data Analytics, 2011

2010
VOGUE: A variable order hidden Markov model with duration based on frequent sequence mining.
ACM Trans. Knowl. Discov. Data, 2010

GRAIL: Scalable Reachability Index for Large Graphs.
Proc. VLDB Endow., 2010

Learning Dissimilarities for Categorical Symbols.
Proceedings of the Fourth International Workshop on Feature Selection in Data Mining, 2010

Prism: An effective approach for frequent sequence mining via prime-block encoding.
J. Comput. Syst. Sci., 2010

Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling.
Int. J. Knowl. Discov. Bioinform., 2010

FlexSnap: Flexible Non-sequential Protein Structure Alignment.
Algorithms Mol. Biol., 2010

Matrix "Bit" loaded: a scalable lightweight join query processor for RDF data.
Proceedings of the 19th International Conference on World Wide Web, 2010

Structural correlation pattern mining for large graphs.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Graph indexing for reachability queries.
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

Practical Graph Mining.
Proceedings of the Conceptual Structures: From Information to Intelligence, 2010

Pattern mining : the past, present, and future.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Mining Complex Boolean Expressions for Sequential Equivalence Checking.
Proceedings of the 19th IEEE Asian Test Symposium, 2010

2009
Closed Itemset Mining and Non-redundant Association Rule Mining.
Proceedings of the Encyclopedia of Database Systems, 2009

Novel tools to streamline the conference review process: experiences from SIGKDD'09.
SIGKDD Explor., 2009

Competence-conscious associative classification.
Stat. Anal. Data Min., 2009

Output Space Sampling for Graph Patterns.
Proc. VLDB Endow., 2009

Robust partitional clustering by outlier and density insensitive seeding.
Pattern Recognit. Lett., 2009

SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters.
Knowl. Inf. Syst., 2009

Iterative Non-Sequential protein Structural Alignment.
J. Bioinform. Comput. Biol., 2009

The Metric Dilemma: Competence-Conscious Associative Classification.
Proceedings of the SIAM International Conference on Data Mining, 2009

MUSK: Uniform Sampling of k Maximal Patterns.
Proceedings of the SIAM International Conference on Data Mining, 2009

Clustering with Lower Bound on Similarity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

graphOnt: An ontology based library for conversion from semantic graphs to JUNG.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2009

2008
Introduction to special issue on bioinformatics.
ACM Trans. Knowl. Discov. Data, 2008

Biological data mining.
Sci. Program., 2008

BIOKDD 2008: a workshop report on data mining in bioinformatics.
SIGKDD Explor., 2008

Special Issue on the Best Papers of SDM'08.
Stat. Anal. Data Min., 2008

ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns.
Stat. Anal. Data Min., 2008

PSIST: A scalable approach to indexing protein structures using suffix trees.
J. Parallel Distributed Comput., 2008

The ParTriCluster Algorithm for Gene Expression Analysis.
Int. J. Parallel Program., 2008

An integrated, generic approach to pattern mining: data mining template library.
Data Min. Knowl. Discov., 2008

Calibrated Lazy Associative Classification.
Proceedings of the XXIII Simpósio Brasileiro de Banco de Dados, 2008

TRELLIS+: An Effective Approach for Indexing Genome-Scale Sequences Using Suffix Trees.
Proceedings of the Biocomputing 2008, 2008

SPARCL: Efficient and Effective Shape-Based Clustering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Clicks: An effective algorithm for mining subspace clusters in categorical datasets.
Data Knowl. Eng., 2007

Data Mining in Bioinformatics (BIOKDD).
Algorithms Mol. Biol., 2007

Genome-scale disk-based suffix tree indexing.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Data Clustering Paradigms.
Proceedings of the XXII Simpósio Brasileiro de Banco de Dados, 2007

Multi-label Lazy Associative Classification.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Xproj: a framework for projected structural clustering of xml documents.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

ORIGAMI: Mining Representative Orthogonal Graph Patterns.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Prism: A Primal-Encoding Approach for Frequent Sequence Mining.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
BIOKDD06: data mining in Bioinformatics.
SIGKDD Explor., 2006

What are the grand challenges for data mining?: KDD-2006 panel report.
SIGKDD Explor., 2006

The Complexity of Finding Top-Toda-Equivalence-Class Members.
Theory Comput. Syst., 2006

XRules: An effective algorithm for structural classification of XML data.
Mach. Learn., 2006

Mining Multiple Data Sources: Local Pattern Analysis.
Data Min. Knowl. Discov., 2006

SMOTIF: efficient structured pattern and profile motif search.
Algorithms Mol. Biol., 2006

EXMOTIF: efficient structured motif extraction.
Algorithms Mol. Biol., 2006

VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

BLOSOM: a framework for mining arbitrary boolean expressions.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Is there a grand challenge or X-prize for data mining?
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Finding Hidden Group Structure in a Stream of Communications.
Proceedings of the Intelligence and Security Informatics, 2006

Lazy Associative Classification.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Multi-evidence, multi-criteria, lazy associative document classification.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure.
IEEE Trans. Knowl. Data Eng., 2005

Efficiently Mining Frequent Trees in a Forest: Algorithms and Applications.
IEEE Trans. Knowl. Data Eng., 2005

BIOKDD 2005 workshop report.
SIGKDD Explor., 2005

Open source data mining: workshop report.
SIGKDD Explor., 2005

SCHISM: a new approach to interesting subspace mining.
Int. J. Bus. Intell. Data Min., 2005

Efficiently Mining Frequent Embedded Unordered Trees.
Fundam. Informaticae, 2005

MicroCluster: Efficient Deterministic Biclustering of Microarray Data.
IEEE Intell. Syst., 2005

GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets.
Data Min. Knowl. Discov., 2005

TriCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Towards Generic Pattern Mining.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

Reasoning about sets using redescription mining.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Distribution-Based Synthetic Database Generation Techniques for Itemset Mining.
Proceedings of the Ninth International Database Engineering and Applications Symposium (IDEAS 2005), 2005

CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques.
Proceedings of the 21st International Conference on Data Engineering, 2005

PSIST: Indexing Protein Structures Using Suffix Trees.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference, 2005

Predicting Protein Folding Pathways.
Proceedings of the Data Mining in Bioinformatics, 2005

Introduction to Data Mining in Bioinformatics.
Proceedings of the Data Mining in Bioinformatics, 2005

2004
Report on BIOKDD04: workshop on data mining in Bioinformatics.
SIGKDD Explor., 2004

Advances in frequent itemset mining implementations: report on FIMI'03.
SIGKDD Explor., 2004

Mining Non-Redundant Association Rules.
Data Min. Knowl. Discov., 2004

Visual web mining.
Proceedings of the 13th international conference on World Wide Web, 2004

Predicting protein folding pathways.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

SCHISM: A New Approach for Interesting Subspace Mining.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Topic 17: High Performance Bioinformatics.
Proceedings of the Euro-Par 2004 Parallel Processing, 2004

Generic Pattern Mining Via Data Mining Template Library.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003
Mining residue contacts in proteins using local structure predictions.
IEEE Trans. Syst. Man Cybern. Part B, 2003

Data mining in bioinformatics: report on BIOKDD'03.
SIGKDD Explor., 2003

A novel approach to determine normal variation in gene expression data.
SIGKDD Explor., 2003

Special issue on data management in bioinformatics.
Inf. Syst., 2003

Feasible itemset distributions in data mining: theory and application.
Proceedings of the Twenty-Second ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2003

Opening Remarks.
Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003), 2003

Fast vertical mining using diffsets.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

XRules: an effective structural classifier for XML data.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Improving spatial locality of programs via data mining.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Carpenter: finding closed patterns in long biological datasets.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03.
Proceedings of the FIMI '03, 2003

2002
BIOKDD 2002: Recent Advanced in Data Minig for Bioinformatics.
SIGKDD Explor., 2002

BIOKDD01: Workshop on Data Mining in Bioinformatics.
SIGKDD Explor., 2002

Editorial: Online, Interactive, and Anytime Data Mining.
SIGKDD Explor., 2002

Introduction: Recent Developments in Parallel and Distributed Data Mining.
Distributed Parallel Databases, 2002

CHARM: An Efficient Algorithm for Closed Itemset Mining.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Mining Frequent Itemsets in Evolving Databases.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Efficiently Mining Approximate Models of Associations in Evolving Databases.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Foreword.
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), 2002

Efficiently mining frequent trees in a forest.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

ADMIT: anomaly-based data mining for intrusions.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Mining Protein Contact Maps.
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), 2002

Performance Mining of Large-Scale Data-Intensive Applications.
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

Indexing and Data Access Methods for Database Mining.
Proceedings of the 2002 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2002

2001
SPADE: An Efficient Algorithm for Mining Frequent Sequences.
Mach. Learn., 2001

Parallel Data Mining for Association Rules on Shared-Memory Systems.
Knowl. Inf. Syst., 2001

Parallel Sequence Mining on Shared-Memory Machines.
J. Parallel Distributed Comput., 2001

LOGML - XML Language for Web Usage Mining.
Proceedings of the Poster Proceedings of the Tenth International World Wide Web Conference, 2001

Sequence Mining in Categorical Domains: Algorithms and Applications.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

LOGML: Log Markup Language for Web Usage Mining.
Proceedings of the WEBKDD 2001, 2001

Efficiently Mining Maximal Frequent Itemsets.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

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

KDD-99 Workshop on Large-Scale Parallel KDD Systems.
SIGKDD Explor., 2000

Systems Support for Scalable Data Mining.
SIGKDD Explor., 2000

Scalable Feature Mining for Sequential Data.
IEEE Intell. Syst., 2000

PlanMine: Predicting Plan Failures Using Sequence Mining.
Artif. Intell. Rev., 2000

Generating non-redundant association rules.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 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

A Requirements Analysis for Parallel KDD Systems.
Proceedings of the Parallel and Distributed Processing, 2000

Sequence Mining in Categorical Domains: Incorporating Constraints.
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

Mining Residue Contacts in Proteins.
Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering, 2000

1999
Parallel and distributed association mining: a survey.
IEEE Concurr., 1999

Parallel and Distributed Data Mining: An Introduction.
Proceedings of the Large-Scale Parallel Data Mining, 1999

Mining Features for Sequence Classification.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Parallel Classification for Data Mining on Shared-Memory Multiprocessors.
Proceedings of the 15th International Conference on Data Engineering, 1999

Incremental and Interactive Sequence Mining.
Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management, 1999

1998
PlanMine: Sequence Mining for Plan Failures.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Memory Placement Techniques for Parallel Association Mining.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Efficient Enumeration of Frequent Sequences.
Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, 1998

1997
Customized Dynamic Load Balancing for a Network of Workstations.
J. Parallel Distributed Comput., 1997

Parallel Algorithms for Discovery of Association Rules.
Data Min. Knowl. Discov., 1997

Compile-Time Scheduling Algorithms for a Heterogeneous Network of Workstations.
Comput. J., 1997

A Localized Algorithm for Parallel Association Mining.
Proceedings of the 9th Annual ACM Symposium on Parallel Algorithms and Architectures, 1997

Evaluation of Sampling for Data Mining of Association Rules.
Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications, 1997

New Algorithms for Fast Discovery of Association Rules.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Arithmetic and logic operations with DNA.
Proceedings of the DNA Based Computers, 1997

1996
Compile-time inter-query dependence analysis.
Proceedings of the Eighth IEEE Symposium on Parallel and Distributed Processing, 1996

Parallel Data Mining for Association Rules on Shared-Memory Multi-Processors.
Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, 1996

1995
Loop Scheduling for Heterogeneity.
Proceedings of the 4th International Symposium on High Performance Distributed Computing (HPDC '95), 1995


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