Kumar, Vipin - Department of Computer Science and Engineering, University of Minnesota

• Enhancing Data Analysis with Noise Removal Hui Xiong, Member, IEEE, Gaurav Pandey, Student Member, IEEE,
• R. Grossman, C. Kamath, V. Kumar Data Mining for Scientific and Engineering Applications Ch 8/ 1 High Performance Data Mining
• High Performance Data Mining Copyright 1999 R.L.
• Detecting Anomalies in a Time Series Database Technical Report
• The MINDS -Minnesota Intrusion Detection System
• Feature Mining For Prediction of Degree of Liver Fibrosis This work has been supported byDTC grant 1224-04. Computational resources for this work were provided by
• A Performance Study of Diffusive vs. Remapped LoadBalancing Schemes \Lambda
• On the Efficiency of Parallel Backtracking \Lambda V. Nageshwara Rao z and Vipin Kumar x
• SIAM Conference on Parallel Processing, San Francisco, 1994 nBody Simulations Using
• Major Disturbance Events in Terrestrial Ecosystems Detected using Global Satellite Data Sets
• R. Grossman, C. Kamath, V. Kumar Data Mining for Scientific and Engineering Applications Ch 4/ 1 High Performance Data Mining
• Wavefront Diffusion and LMSR: Algorithms for Dynamic Repartitioning of Adaptive Meshes \Lambda
• Multilevel Diffusion Schemes for Repartitioning of Adaptive Meshes #
• Parallel Algorithms in Data Mining \Lambda Mahesh V. Joshi, EuiHong (Sam) Han, George Karypis, and Vipin Kumar
• Parallel MatrixVector Product Using Approximate Hierarchical Methods \Lambda
• Scalability of Parallel Algorithms for the AllPairs Shortest Path Problem \Lambda
• A High Performance Two Dimensional Scalable Parallel Algorithm for Solving Sparse Triangular Systems \Lambda
• A New Algorithm for Multiobjective Graph Partitioning ?
• Scalability Analysis of Partitioning Strategies for Finite Element Graphs. \Lambda
• Clustering In A HighDimensional Space Using Hypergraph Models #
• Scalable Parallel Formulations of the BarnesHut Method for nBody Simulations \Lambda Ananth Y. Grama, Vipin Kumar, and Ahmed Sameh
• VOLUME 88 NUMBER 26 26 JUNE 2007 A Synthesis and Assessment of the Arctic Carbon Cycle, Pg. 270
• MINDS: ARCHITECTURE & DESIGN Varun Chandola, Eric Eilertson, Levent Ert oz, Gy orgy Simon and Vipin Kumar
• Understanding global teleconnections of climate to regional model estimates of Amazon ecosystem carbon
• BIOINFORMATICS ORIGINAL PAPER Vol. 24 no. 18 2008, pages 20232029
• Land Cover Change Detection: A Case Study Shyam Boriah
• AUTOMATED DETECTION OF FOREST COVER CHANGES SHYAM BORIAH, VARUN MITHAL, ASHISH GARG, MICHAEL STEINBACH, VIPIN KUMAR
• Quantitative Evaluation of Approximate Frequent Pattern Mining Algorithms
• Computational Approaches for Protein Function PredictionComputational Approaches for Protein Function Prediction This work has been supported by NSF grants #CRI-0551551,
• 0 10 20 30 GET /A.html HTTP/1.1
• Under consideration for publication in Knowledge and Information Generalizing the Notion of Confidence
• Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining
• Predicting Land Temperature Using Ocean Data Shyam Boriah Gyorgy Simon Maniratan Naorem
• Scalability of Parallel Algorithms for Matrix Multiplication \Lambda
• USING SAS FOR MINING INDIRECT ASSOCIATIONS IN DATA PangNing Tan, University of Minnesota, Minneapolis, MN 55455
• Performance and Scalability of Preconditioned Conjugate Gradient Methods on Parallel Computers \Lambda
• BioMed Central Page 1 of 22
• Anomaly Detection : A Survey Technical Report
• Indirect Association : Mining Higher Order Dependencies in Data ?
• Interestingness Measures for Association Patterns : A Perspective
• Multilevel Refinement for Hierarchical Clustering # George Karypis, EuiHong (Sam) Han, and Vipin Kumar
• To appear in Journal of Parallel and Distributed Computing, 1994. Analyzing Scalability of Parallel Algorithms and
• Modeling of Web Robot Navigational Patterns Pang-Ning Tan 1 and Vipin Kumar 1
• Association Analysis Techniques for Discovering Functional Modules from Microarray Data
• Continental-scale comparisons of terrestrial carbon sinks estimated from satellite data and ecosystem modeling 19821998
• Chapter 6 -Specific Case Study: Searching for Bent-double Galaxies
• A Parallel Parsing Algorithm for Natural Language using Tree Adjoining Grammar \Lambda
• CHAMELEON: A Hierarchical Clustering Algorithm Using Dynamic Modeling
• To appear in SIAM Journal on Scientific Computing The algorithms described in this paper are implemented by the
• Interestingness Measures for Association Patterns : A Perspective
• Parallel Thresholdbased ILU Factorization # George Karypis and Vipin Kumar
• A Scalable Parallel Formulation of the Backpropagation Algorithm for Hypercubes and Related Architectures \Lambda
• Highly Scalable Parallel Algorithms for Sparse Matrix Factorization #
• High Performance Data Mining Vipin Kumar, Mahesh V. Joshi, Eui-Hong (Sam) Han, Pang-Ning Tan, Michael
• An Association Analysis Approach to Biclustering Gaurav Pandey, Gowtham Atluri, Michael Steinbach, Chad L. Myers and Vipin Kumar
• Global Teleconnections of Ocean Climate to Terrestrial Carbon Flux C. Potter 1*
• Exploiting A Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs
• Information Retrivial and Clustering (pp. -) W. Wu, H. Xiong and S. Shekhar(Eds.)
• RBA: An Integrated Framework for Regression Based on Association Aysel Ozgur
• Efficient Parallel Formulations for Some Dynamic Programming Algorithms \Lambda
• The algorithms described in this paper are implemented by the `METIS: Unstructured Graph Partitioning and Sparse Matrix Ordering System'.
• Copper Mountain Conference on Iterative Methods, Copper Mountain, CO, April 1996. Parallel Iterative Solvers and Preconditioners Using
• Support Envelopes: A Technique for Exploring the Structure of Association Patterns
• Expert Agreement and Content Based Reranking in a Meta Search Environment using Mearf
• Comparative Study of Various Genomic Data Sets for Protein Function Prediction and Enhancements Using Association Analysis
• Association Analysis-based Transformations for Protein Interaction Networks: A Function Prediction Case Study
• Similarity Measures for Categorical Data: A Comparative Evaluation Shyam Boriah Varun Chandola Vipin Kumar
• Under consideration for publication in Knowledge and Information Summarization -Compressing Data into
• Generalizing the Notion of Support Michael Steinbach
• Hyperclique Pattern Discovery Hui Xiong (hui@rbs.rutgers.edu)
• Major Disturbance Events in Terrestrial Ecosystems Detected using Global Satellite Data Sets
• Continental Scale Comparisons of Terrestrial Carbon Sinks Estimated from Satellite Data and Ecosystem Modeling 1982-1998
• Temporal Data Mining for the Discovery and Analysis of Ocean Climate Indices*
• Clustering Earth Science Data: Goals, Issues and Results* Michael Steinbach+
• Discovery of Error-tolerant Biclusters from Noisy Gene Expression Data
• ASSOCIATION ANALYSIS TECHNIQUES FOR ANALYZING COMPLEX BIOLOGICAL Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael Steinbach and Vipin Kumar
• Association Analysis Techniques for Bioinformatics Problems
• Aspirin Use and Survival After Diagnosis of Colorectal Cancer Andrew T. Chan, Charles S. Fuchs, Shuji Ogino
• Systematic Evaluation of Scaling Methods for Gene Expression Data Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Michael Steinbach and Vipin Kumar
• Data Mining for Scientific & Engineering Applications
• Chapter 7 -Preparing Scientific and Engineering Data for Mining
• Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
• TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query
• A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection Aleksandar Lazarevic*, Levent Ertoz*, Vipin Kumar*, Aysel Ozgur*, Jaideep Srivastava*
• Data Mining for Scientific & Engineering Applications
• R. Grossman, C. Kamath, V. Kumar Data Mining for Scientific and Engineering Applications Ch 3/ 1 High Performance Data Mining
• Chapter 5 -General Case Studies: Applying Data Mining to Scientific Data
• R. Grossman, C. Kamath, V. Kumar Data Mining for Scientific and Engineering Applications Ch 9/ 1 High Performance Data Mining
• Data Mining for Scientific & Engineering Applications
• Preface vii 1 Introduction 1
• Errata for Introduction to Data Mining by Tan, Steinbach, and Kumar.
• Temporal Data Mining for the Discovery and Analysis of Ocean Climate Indices*
• Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data Technical Report
• A Parallel Formulation of Interior Point Algorithms \Lambda
• Parallel Algorithm Scalability Issues in Peta ops Architectures Ananth Grama 1 , Anshul Gupta 2 , Eui-Hong Han 3 , and Vipin Kumar 3
• WebACE: A Web Agent for Document Categorization and Exploration EuiHong (Sam) Han Daniel Boley Maria Gini Robert Gross Kyle Hastings
• To appear in Journal of Parallel and Distributed Computing, October 1993. A preliminary version of this paper appears in the Proceedings of the 26th Hawaii
• The Challenges of Clustering High Dimensional Data* Michael Steinbach, Levent Ertz, and Vipin Kumar
• Parallel Processing of Discrete Optimization Problems \Lambda Grama Y. Ananth and Vipin Kumar
• Modeling of Web Robot Navigational Patterns PangNing Tan
• The Performance of a Highly Unstructured Parallel Algorithm on the KSR1 \Lambda
• Document Categorization and Query Generation on the World Wide Web Using WebACE
• IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. XX, NO. Y, MONTH 1999 1 Scalable Parallel Data Mining for Association Rules
• Text Categorization Using Weight Adjusted kNearest Neighbor Classification ?
• ScalParC : A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets \Lambda
• Graph Partitioning for HighPerformance Scientific
• Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
• Taylor & Francis Group AUTHOR'S GUIDE TO
• Discovering Coherent Value Bicliques In Genetic Interaction Data
• Vipin Kumar NSF October 10, 2007 Vipin Kumar
• Hypergraph Based Clustering in HighDimensional Data Sets: A Summary of Results \Lambda
• Parallel Best--First Search of StateSpace Graphs: A Summary of Results \Lambda Vipin Kumar y , K. Ramesh, and V. Nageshwara Rao
• Algorithms for Constraint Satisfaction Problems: A Vipin Kumar
• Parallel Depth First Search, Part I: Implementation \Lambda V. Nageshwara Rao and Vipin Kumar y
• Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization & Retrieval \Lambda
• Vipin Kumar Computer Science and Engineering Department
• Finding Spatio-Temporal Patterns in Earth Science Data * Pang-Ning Tan+
• 90 91 92 93 94 95 96 97 98 99 00 01 Data Mining for Network Intrusion Detection
• Discovery of Climate Indices using Clustering Michael Steinbach
• Discovery of Climate Indices using Clustering Michael Steinbach
• Predicting Rare Classes: Can Boosting Make Any Weak Learner Strong?
• A Universal Formulation of Sequential Patterns Mahesh Joshi George Karypis Vipin Kumar
• Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems
• Isoefficiency Function: A Scalability Metric for Parallel Algorithms and Architectures
• Web Page Categorization and Feature Selection Using Association Rule and Principal Component Clustering \Lambda
• PartitioningBased Clustering for Web Document Categorization \Lambda
• Mining Indirect Associations in Web Data PangNing Tan
• Discovery of Changes from the Global Carbon Cycle and Climate System Using Data Mining
• Computational Approaches for Protein Function Prediction: A Survey Technical Report
• Incorporating Functional Inter-relationships into Algorithms for Protein Function Prediction
• Data Mining Techniques For Correlating PhenotypicData Mining Techniques For Correlating Phenotypic Expressions With Genomic and Medical CharacteristicsExpressions With Genomic and Medical Characteristics
• A New Shared Nearest Neighbor Clustering Algorithm and its Applications Levent Ertz, Michael Steinbach, Vipin Kumar
• Efficient Parallel Algorithms for Mining Associations ?
• Parallel Multilevel Algorithms for MultiConstraint Graph Partitioning \Lambda
• Mining Association Patterns in Web Usage Data Pang-Ning Tan y , Vipin Kumar y
• Unstructured Tree Search on SIMD Parallel Computers \Lambda
• Appears in the Journal of Parallel and Distributed Computing A short version of this paper appears in International Parallel Processing Symposium 1996
• A short version of this paper appears in Supercomputing 1996 The serial algorithms described in this paper are implemented by the
• Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach* Levent Ertz Michael Steinbach Vipin Kumar
• Vipin Kumar HiPC December 21, 2007 Vipin Kumar
• A High Performance Sparse Cholesky Factorization Algorithm For Scalable Parallel Computers
• Scalable Parallel Formulations of the BarnesHut Method for nBody Simulations \Lambda
• Scalable Load Balancing Techniques for Parallel Computers \Lambda Vipin Kumar and Ananth Y. Grama
• Clustering Based On Association Rule Hypergraphs \Lambda EuiHong (Sam) Han
• Scalable Parallel Data Mining for Association Rules \Lambda EuiHong (Sam) Han
• Summarization -Compressing Data into an Informative Representation Varun Chandola
• Efficient Algorithms for Creating Product Catalogs* Michael Steinbach, George Karypis, and Vipin Kumar
• This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text (HTML) versions will be made available soon.
• Web Mining: Pattern Discovery from World Wide Web Transactions
• A short version of this paper appears in Supercomputing 1995 The algorithms described in this paper are implemented by the
• Selecting the Right Interestingness Measure for Association Patterns
• CentroidBased Document Classification: Analysis & Experimental Results ?
• Performance and Scalability of the Parallel Simplex Method for Dense Linear Programming Problems
• Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach
• Copyright 2004, Paper 8-002; 8,523 words, 4 Figures, 0 Animations, 3 Tables. http://EarthInteractions.org
• V. Kumar Data Mining for Earth Science Data 1 Data Mining for Earth Science Data
• CYBER THREAT ANALYSIS A KEY ENABLING TECHNOLOGY FOR THE OBJECTIVE FORCE (A CASE STUDY IN NETWORK INTRUSION DETECTION)
• Scan Detection: A Data Mining Approach Gyorgy J. Simon
• AGAAbstracts W1969 Colorectal Cancer Despite Colonoscopy: Estimated Size of the Truly Missed
• TRANSACTIONS ENGINEERING,
• Submitted to Supercomputing 1997 Parallel Multilevel Diffusion Algorithms for
• MinApriori: An Algorithm for Finding Association Rules in Data with Continuous Attributes #
• Indirect Association : Mining Higher Order Dependencies in Data
• Appears in IEEE Transactions on Parallel and Distributed Systems, Volume 4(8), August 1993. The Scalability of FFT on Parallel Computers #
• Role of MessagePassing in Performance Oriented Parallel Programming #
• Parallel Depth First Search, Part II: Analysis \Lambda Vipin Kumar y and V. Nageshwara Rao
• Vipin Kumar SDM April 2010 0 Mining Scientific Data
• Variability in Terrestrial Carbon Sinks Over Two Decades: Part 1 North America
• Characterizing Discriminative Patterns Technical Report
• Integration of Differential Gene-combination Search and Gene Set Enrichment Analysis: A General Approach Technical Report
• Construction and Functional Analysis of Human Genetic Interaction Networks with Genome-wide Association Technical Report