George Karypis

According to our database1, George Karypis authored at least 265 papers between 1992 and 2019.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to graph partitioning and data mining".

Timeline

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Bibliography

2019
Feature Extraction for Next-Term Prediction of Poor Student Performance.
TLT, 2019

Parallel cosine nearest neighbor graph construction.
J. Parallel Distrib. Comput., 2019

Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks.
CoRR, 2019

Streaming and Batch Algorithms for Truss Decomposition.
CoRR, 2019

Intent term selection and refinement in e-commerce queries.
CoRR, 2019

A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures.
CoRR, 2019

A Self-Attentive model for Knowledge Tracing.
CoRR, 2019

Structured Dictionary Learning for Energy Disaggregation.
CoRR, 2019

Grade prediction with course and student specific models.
CoRR, 2019

Learning from Sets of Items in Recommender Systems.
CoRR, 2019

Sparse Neural Attentive Knowledge-based Models for Grade Prediction.
CoRR, 2019

Adaptive Matrix Completion for the Users and the Items in Tail.
CoRR, 2019

Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation.
CoRR, 2019

Will this Course Increase or Decrease Your GPA? Towards Grade-aware Course Recommendation.
CoRR, 2019

Text segmentation on multilabel documents: A distant-supervised approach.
CoRR, 2019

Distributed representation of multi-sense words: A loss-driven approach.
CoRR, 2019

Adaptive matrix completion for the users and the items in tail.
Proceedings of the World Wide Web Conference, 2019

RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Personalized diffusions for top-n recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Causal Inference in Higher Education: Building Better Curriculums.
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

A Study on Curriculum Planning and Its Relationship with Graduation GPA and Time To Degree.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

UPM: Discovering Course Enrollment Sequences Associated with Success.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Structured Dictionary Learning for Energy Disaggregation.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Scholars Walk: A Markov Chain Framework for Course Recommendation.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

A Self Attentive model for Knowledge Tracing.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Neural Attentive Knowledge-based Model for Grade Prediction.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018
NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets.
SIGMOD Record, 2018

HPC formulations of optimization algorithms for tensor completion.
Parallel Computing, 2018

A virtual memory manager optimized for node-level cooperative multi-tasking in memory constrained systems.
IJHPCA, 2018

Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph.
CoRR, 2018

Recent Advances in Recommender Systems: Sets, Local Models, Coverage, and Errors.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Streaming Tensor Factorization for Infinite Data Sources.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Distributed Representation of Multi-sense Words: A Loss Driven Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Local Latent Space Models for Top-N Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Text Segmentation on Multilabel Documents: A Distant-Supervised Approach.
Proceedings of the IEEE International Conference on Data Mining, 2018

Feature extraction for classifying students based on their academic performance.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Scalability and Distribution of Collaborative Recommenders.
Proceedings of the Collaborative Recommendations, 2018

2017
Context-Aware Recommendation-Based Learning Analytics Using Tensor and Coupled Matrix Factorization.
J. Sel. Topics Signal Processing, 2017

Efficient identification of Tanimoto nearest neighbors.
Int. J. Data Sci. Anal., 2017

Cumulative Knowledge-based Regression Models for Next-term Grade Prediction.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Improving Higher Education: Learning Analytics & Recommender Systems Research.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Constrained Tensor Factorization with Accelerated AO-ADMM.
Proceedings of the 46th International Conference on Parallel Processing, 2017

Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Truss decomposition on shared-memory parallel systems.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Accelerating the Tucker Decomposition with Compressed Sparse Tensors.
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

Enriching Course-Specific Regression Models with Content Features for Grade Prediction.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Accounting for Language Changes Over Time in Document Similarity Search.
ACM Trans. Inf. Syst., 2016

Grade prediction with models specific to students and courses.
Int. J. Data Sci. Anal., 2016

Predicting Student Performance Using Personalized Analytics.
IEEE Computer, 2016

An exploration of optimization algorithms for high performance tensor completion.
Proceedings of the International Conference for High Performance Computing, 2016

Fast Parallel Cosine K-Nearest Neighbor Graph Construction.
Proceedings of the 6th Workshop on Irregular Applications: Architecture and Algorithms, 2016

Domain-Aware Grade Prediction and Top-n Course Recommendation.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Local Item-Item Models For Top-N Recommendation.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Grade Prediction with Course and Student Specific Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Medium-Grained Algorithm for Sparse Tensor Factorization.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

A Parallel Hill-Climbing Refinement Algorithm for Graph Partitioning.
Proceedings of the 45th International Conference on Parallel Processing, 2016

Efficient Identification of Tanimoto Nearest Neighbors.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015
A Comprehensive Survey of Neighborhood-Based Recommendation Methods.
Proceedings of the Recommender Systems Handbook, 2015

Algorithms for Mining the Coevolving Relational Motifs in Dynamic Networks.
TKDD, 2015

User-Specific Feature-Based Similarity Models for Top-n Recommendation of New Items.
ACM TIST, 2015

Evaluation of connected-component labeling algorithms for distributed-memory systems.
Parallel Computing, 2015

Multi-threaded modularity based graph clustering using the multilevel paradigm.
J. Parallel Distrib. Comput., 2015

Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Tensor-matrix products with a compressed sparse tensor.
Proceedings of the 5th Workshop on Irregular Applications - Architectures and Algorithms, 2015

Improving graph partitioning for modern graphs and architectures.
Proceedings of the 5th Workshop on Irregular Applications - Architectures and Algorithms, 2015

PL2AP: fast parallel cosine similarity search.
Proceedings of the 5th Workshop on Irregular Applications - Architectures and Algorithms, 2015

A Memory Management System Optimized for BDMPI's Memory and Execution Model.
Proceedings of the 22nd European MPI Users' Group Meeting, 2015

Recent Advances in Recommender Systems and Future Directions.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015

Collaborative multi-regression models for predicting students' performance in course activities.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Understanding computer usage evolution.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Efficient Nested Dissection for Multicore Architectures.
Proceedings of the Euro-Par 2015: Parallel Processing, 2015

L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
MPI for Big Data: New tricks for an old dog.
Parallel Computing, 2014

HOSLIM: Higher-Order Sparse LInear Method for Top-N Recommender Systems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

L2AP: Fast cosine similarity search with prefix L-2 norm bounds.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Welcome from DSAA 2014 chairs.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Opportunities for data-driven cloud-based mobile optimization.
Proceedings of the 2014 International Conference on Collaboration Technologies and Systems, 2014

Signaling adverse drug reactions with novel feature-based similarity model.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Big Data Frequent Pattern Mining.
Proceedings of the Frequent Pattern Mining, 2014

2013
A novel two-box search paradigm for query disambiguation.
World Wide Web, 2013

Pareto Optimal Pairwise Sequence Alignment.
IEEE/ACM Trans. Comput. Biology Bioinform., 2013

A segment-based approach to clustering multi-topic documents.
Knowl. Inf. Syst., 2013

BDMPI: conquering BigData with small clusters using MPI.
Proceedings of the 2013 International Workshop on Data-Intensive Scalable Computing Systems, 2013

AREM: A Novel Associative Regression Model Based on EM Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

FISM: factored item similarity models for top-N recommender systems.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-threaded Graph Partitioning.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

A Versatile Graph-Based Approach to Package Recommendation.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Document Clustering: The Next Frontier.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Computational tools for protein-DNA interactions.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2012

Algorithms for mining the evolution of conserved relational states in dynamic networks.
Knowl. Inf. Syst., 2012

Improved Machine Learning Models for Predicting Selective Compounds.
Journal of Chemical Information and Modeling, 2012

Multi-view learning via probabilistic latent semantic analysis.
Inf. Sci., 2012

Topic Modeling for Segment-based Documents.
Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

Sparse linear methods with side information for top-n recommendations.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Fast and Effective Lossy Compression Algorithms for Scientific Datasets.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

2011
A Comprehensive Survey of Neighborhood-based Recommendation Methods.
, 2011

METIS and ParMETIS.
Proceedings of the Encyclopedia of Parallel Computing, 2011

SLIM: Sparse Linear Methods for Top-N Recommender Systems.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Algorithms for Mining the Evolution of Conserved Relational States in Dynamic Networks.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Statistical Model for Topically Segmented Documents.
Proceedings of the Discovery Science - 14th International Conference, 2011

Improved machine learning models for predicting selective compounds.
Proceedings of the ACM International Conference on Bioinformatics, 2011

Automatic detection of vaccine adverse reactions by incorporating historical medical conditions.
Proceedings of the ACM International Conference on Bioinformatics, 2011

2010
Trends in Chemical Graph Data Mining.
Proceedings of the Managing and Mining Graph Data, 2010

Multi-task Learning for Recommender System.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Assessing Synthetic Accessibility of Chemical Compounds Using Machine Learning Methods.
Journal of Chemical Information and Modeling, 2010

Toptmh: Topology Predictor for transmembrane alpha-helices.
J. Bioinformatics and Computational Biology, 2010

A Novel Approach to Compute Similarities and Its Application to Item Recommendation.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Enhancing link-based similarity through the use of non-numerical labels and prior information.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Message from the workshop chairs.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Content-Based Methods for Predicting Web-Site Demographic Attributes.
Proceedings of the ICDM 2010, 2010

2009
Document Clustering.
Proceedings of the Encyclopedia of Database Systems, 2009

Target Fishing for Chemical Compounds Using Target-Ligand Activity Data and Ranking Based Methods.
Journal of Chemical Information and Modeling, 2009

Common Pharmacophore Identification Using Frequent Clique Detection Algorithm.
Journal of Chemical Information and Modeling, 2009

Multi-Assay-Based Structure-Activity Relationship Models: Improving Structure-Activity Relationship Models by Incorporating Activity Information from Related Targets.
Journal of Chemical Information and Modeling, 2009

CONTOUR: an efficient algorithm for discovering discriminating subsequences.
Data Min. Knowl. Discov., 2009

svmPRAT: SVM-based Protein Residue Annotation Toolkit.
BMC Bioinformatics, 2009

LIBRUS: combined machine learning and homology information for sequence-based ligand-binding residue prediction.
Bioinformatics, 2009

The Set Classification Problem and Solution Methods.
Proceedings of the SIAM International Conference on Data Mining, 2009

Within-Network Classification Using Local Structure Similarity.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

A Kernel Framework for Protein Residue Annotation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

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

2008
Introduction to special issue on bioinformatics.
TKDD, 2008

Learning preferences of new users in recommender systems: an information theoretic approach.
SIGKDD Explorations, 2008

Comparison of descriptor spaces for chemical compound retrieval and classification.
Knowl. Inf. Syst., 2008

Indirect Similarity Based Methods for Effective Scaffold-Hopping in Chemical Compounds.
Journal of Chemical Information and Modeling, 2008

An Analysis of Information Content Present in Protein-DNA Interactions.
Proceedings of the Biocomputing 2008, 2008

TOPTMH: Topology Predictor for Transmembrane alpha-Helices.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Architecture Aware Partitioning Algorithms.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2008

Genome Alignments Using MPI-LAGAN.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

fRMSDAlign: Protein Sequence Alignment Using Predicted Local Structure Information for Pairs with Low Sequence Identity.
Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008

2007
Out-of-core coherent closed quasi-clique mining from large dense graph databases.
ACM Trans. Database Syst., 2007

Clustering methodologies for identifying country core competencies.
J. Inf. Sci., 2007

Effective Optimization Algorithms for Fragment-Assembly Based protein Structure Prediction.
J. Bioinformatics and Computational Biology, 2007

Discovering frequent geometric subgraphs.
Inf. Syst., 2007

Incremental window-based protein sequence alignment algorithms.
Bioinformatics, 2007

Data Mining in Bioinformatics (BIOKDD).
Algorithms for Molecular Biology, 2007

Discriminating Subsequence Discovery for Sequence Clustering.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

A Multi-Level Parallel Implementation of a Program for Finding Frequent Patterns in a Large Sparse Graph.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

2006
On Mining Instance-Centric Classification Rules.
IEEE Trans. Knowl. Data Eng., 2006

Multiobjective hypergraph-partitioning algorithms for cut and maximum subdomain-degree minimization.
IEEE Trans. on CAD of Integrated Circuits and Systems, 2006

BIOKDD06: data mining in Bioinformatics.
SIGKDD Explorations, 2006

On efficiently summarizing categorical databases.
Knowl. Inf. Syst., 2006

Building multiclass classifiers for remote homology detection and fold recognition.
BMC Bioinformatics, 2006

Coherent closed quasi-clique discovery from large dense graph databases.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Towards a Scalable k NN CF Algorithm: Exploring Effective Applications of Clustering.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2006

Multilevel algorithms for partitioning power-law graphs.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Partitioning and Load Balancing for Emerging Parallel Applications and Architectures.
Proceedings of the Parallel Processing for Scientific Computing, 2006

Criterion Functions for Clustering on High-Dimensional Data.
Proceedings of the Grouping Multidimensional Data - Recent Advances in Clustering, 2006

2005
Frequent Substructure-Based Approaches for Classifying Chemical Compounds.
IEEE Trans. Knowl. Data Eng., 2005

Prediction of Contact Maps Using Support Vector Machines.
International Journal on Artificial Intelligence Tools, 2005

Gene Classification Using Expression Profiles: A Feasibility Study.
International Journal on Artificial Intelligence Tools, 2005

Hierarchical Clustering Algorithms for Document Datasets.
Data Min. Knowl. Discov., 2005

Finding Frequent Patterns Using Length-Decreasing Support Constraints.
Data Min. Knowl. Discov., 2005

Finding Frequent Patterns in a Large Sparse Graph*.
Data Min. Knowl. Discov., 2005

Profile-based direct kernels for remote homology detection and fold recognition.
Bioinformatics, 2005

Topic-driven Clustering for Document Datasets.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

HARMONY: Efficiently Mining the Best Rules for Classification.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Effective Document Clustering for Large Heterogeneous Law Firm Collections.
Proceedings of the Tenth International Conference on Artificial Intelligence and Law, 2005

Feature-based recommendation system.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

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

Mining Chemical Compounds.
Proceedings of the Data Mining in Bioinformatics, 2005

2004
Selective Markov models for predicting Web page accesses.
ACM Trans. Internet Techn., 2004

Item-based top-N recommendation algorithms.
ACM Trans. Inf. Syst., 2004

An Efficient Algorithm for Discovering Frequent Subgraphs.
IEEE Trans. Knowl. Data Eng., 2004

Parallel tree-projection-based sequence mining algorithms.
Parallel Computing, 2004

Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering.
Machine Learning, 2004

BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Finding Frequent Patterns in a Large Sparse Graph.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Efficient closed pattern mining in the presence of tough block constraints.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

SUMMARY: Efficiently Summarizing Transactions for Clustering.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

GREW-A Scalable Frequent Subgraph Discovery Algorithm.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources.
Proceedings of the 41th Design Automation Conference, 2004

Soft clustering criterion functions for partitional document clustering: a summary of results.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2003
Predicting the Performance of Randomized Parallel Search: An Application to Robot Motion Planning.
Journal of Intelligent and Robotic Systems, 2003

Perimeter-degree: a priori metric for directly measuring and homogenizing interconnection complexity in multilevel placement.
Proceedings of the 5th International Workshop on System-Level Interconnect Prediction (SLIP 2003), 2003

Multi-Constraint Mesh Partitioning for Contact/Impact Computations.
Proceedings of the ACM/IEEE SC2003 Conference on High Performance Networking and Computing, 2003

Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Multi.Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization.
Proceedings of the 2003 International Conference on Computer-Aided Design, 2003

Intelligent metasearch engine for knowledge management.
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

Prediction of Contact Maps Using Support Vector Machines.
Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2003), 2003

2002
Parallel static and dynamic multi-constraint graph partitioning.
Concurrency and Computation: Practice and Experience, 2002

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

Evaluation of Techniques for Classifying Biological Sequences.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Automated Approaches for Classifying Structures.
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), 2002

Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes.
Proceedings of the 2002 International Symposium on Information Technology (ITCC 2002), 2002

SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Discovering Frequent Geometric Subgraphs.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Multi-objective circuit partitioning for cutsize and path-based delay minimization.
Proceedings of the 2002 IEEE/ACM International Conference on Computer-aided Design, 2002

Evaluation of hierarchical clustering algorithms for document datasets.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

Using conjunction of attribute values for classification.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

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

Privacy Risks in Recommender Systems.
IEEE Internet Computing, 2001

When being Weak is Brave: Privacy in Recommender Systems
CoRR, 2001

Item-based collaborative filtering recommendation algorithms.
Proceedings of the Tenth International World Wide Web Conference, 2001

Selective Markov Models for Predicting Web-Page Accesses.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Multilevel algorithms for generating coarse grids for multigrid methods.
Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 2001

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

A scalable algorithm for clustering protein sequences.
Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001), 2001

LPMiner: An Algorithm for Finding Frequent Itemsets Using Length-Decreasing Support Constraint.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Frequent Subgraph Discovery.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

A Scalable Algorithm for Clustering Sequential Data.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Parallel Tree Projection Algorithm for Sequence Mining.
Proceedings of the Euro-Par 2001: Parallel Processing, 2001

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

Evaluation of Item-Based Top-N Recommendation Algorithms.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

Gene Classification using Expression Profiles: A Feasibility Study.
Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering, 2001

2000
Multilevel k-way Hypergraph Partitioning.
VLSI Design, 2000

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

Graph partitioning and parallel computing.
Parallel Computing, 2000

Analysis of recommendation algorithms for e-commerce.
Proceedings of the 2nd ACM Conference on Electronic Commerce (EC-00), 2000

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

Centroid-Based Document Classification: Analysis and Experimental Results.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

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

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

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

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

Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization & Retrieval.
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

1999
Multilevel hypergraph partitioning: applications in VLSI domain.
IEEE Trans. VLSI Syst., 1999

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

Partitioning-based clustering for Web document categorization.
Decision Support Systems, 1999

Chameleon: Hierarchical Clustering Using Dynamic Modeling.
IEEE Computer, 1999

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

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

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

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

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

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

Multilevel k-way Hypergraph Partitioning.
Proceedings of the 36th Conference on Design Automation, 1999

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

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

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

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

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

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

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

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

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

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

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

Scalable Parallel Data Mining for Association Rules.
Proceedings of the SIGMOD 1997, 1997

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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