- 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