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George Karypis: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher
    Clustering Based On Association Rule Hypergraphs. [Citation Graph (6, 0)][DBLP]
    DMKD, 1997, pp:0-0 [Conf]
  2. Eui-Hong Han, George Karypis, Vipin Kumar
    Scalable Parallel Data Mining for Association Rules. [Citation Graph (4, 10)][DBLP]
    SIGMOD Conference, 1997, pp:277-288 [Conf]
  3. George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar
    Multilevel Hypergraph Partitioning: Application in VLSI Domain. [Citation Graph (1, 0)][DBLP]
    DAC, 1997, pp:526-529 [Conf]
  4. George Karypis, Eui-Hong Han, Vipin Kumar
    Chameleon: Hierarchical Clustering Using Dynamic Modeling. [Citation Graph (1, 0)][DBLP]
    IEEE Computer, 1999, v:32, n:8, pp:68-75 [Journal]
  5. Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher
    Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. [Citation Graph (1, 6)][DBLP]
    IEEE Data Eng. Bull., 1998, v:21, n:1, pp:15-22 [Journal]
  6. Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert Gross, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
    WebACE: A Web Agent for Document Categorization and Exploration. [Citation Graph (0, 0)][DBLP]
    Agents, 1998, pp:408-415 [Conf]
  7. Michihiro Kuramochi, George Karypis
    Gene Classification using Expression Profiles: A Feasibility Study. [Citation Graph (0, 0)][DBLP]
    BIBE, 2001, pp:191-200 [Conf]
  8. Ying Zhao, George Karypis
    Prediction of Contact Maps Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    BIBE, 2003, pp:26-0 [Conf]
  9. Mukund Deshpande, George Karypis
    Using conjunction of attribute values for classification. [Citation Graph (0, 0)][DBLP]
    CIKM, 2002, pp:356-364 [Conf]
  10. Eui-Hong Han, George Karypis
    Fast Supervised Dimensionality Reduction Algorithm with Applications to Document Categorization & Retrieval. [Citation Graph (0, 0)][DBLP]
    CIKM, 2000, pp:12-19 [Conf]
  11. Eui-Hong Han, George Karypis
    Feature-based recommendation system. [Citation Graph (0, 0)][DBLP]
    CIKM, 2005, pp:446-452 [Conf]
  12. Eui-Hong Han, George Karypis, Doug Mewhort, Keith Hatchard
    Intelligent metasearch engine for knowledge management. [Citation Graph (0, 0)][DBLP]
    CIKM, 2003, pp:492-495 [Conf]
  13. George Karypis
    Evaluation of Item-Based Top-N Recommendation Algorithms. [Citation Graph (0, 0)][DBLP]
    CIKM, 2001, pp:247-254 [Conf]
  14. Ying Zhao, George Karypis
    Evaluation of hierarchical clustering algorithms for document datasets. [Citation Graph (0, 0)][DBLP]
    CIKM, 2002, pp:515-524 [Conf]
  15. Ying Zhao, George Karypis
    Soft clustering criterion functions for partitional document clustering: a summary of results. [Citation Graph (0, 0)][DBLP]
    CIKM, 2004, pp:246-247 [Conf]
  16. Kirk Schloegel, George Karypis, Vipin Kumar
    Graph Partitioning for Dynamic, Adaptive and Multi-phase Scientific Simulations. [Citation Graph (0, 0)][DBLP]
    CLUSTER, 2001, pp:271-273 [Conf]
  17. George Karypis, Vipin Kumar
    Multilevel k-way Hypergraph Partitioning. [Citation Graph (0, 0)][DBLP]
    DAC, 1999, pp:343-348 [Conf]
  18. Navaratnasothie Selvakkumaran, Abhishek Ranjan, Salil Raje, George Karypis
    Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources. [Citation Graph (0, 0)][DBLP]
    DAC, 2004, pp:741-746 [Conf]
  19. Valerie Guralnik, Nivea Garg, George Karypis
    Parallel Tree Projection Algorithm for Sequence Mining. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2001, pp:310-320 [Conf]
  20. William Leinberger, George Karypis, Vipin Kumar
    Memory Management Techniques for Gang Scheduling. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2000, pp:252-261 [Conf]
  21. Kirk Schloegel, George Karypis, Vipin Kumar
    Parallel Multilevel Algorithms for Multi-constraint Graph Partitioning (Distinguished Paper). [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2000, pp:296-310 [Conf]
  22. Kirk Schloegel, George Karypis, Vipin Kumar
    Repartitioning of Adaptive Meshes: Experiments with Multilevel Diffusion. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 1997, pp:945-949 [Conf]
  23. Kirk Schloegel, George Karypis, Vipin Kumar
    A New Algorithm for Multi-objective Graph Partitioning. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 1999, pp:322-331 [Conf]
  24. Navaratnasothie Selvakkumaran, Abhishek Ranjan, Salil Raje, George Karypis
    Multi-resource aware partitioning algorithms for FPGAs with heterogeneous resources. [Citation Graph (0, 0)][DBLP]
    FPGA, 2004, pp:253- [Conf]
  25. William Leinberger, George Karypis, Vipin Kumar
    Load Balancing Across Near-Homogeneous Multi-Resource Servers. [Citation Graph (0, 0)][DBLP]
    Heterogeneous Computing Workshop, 2000, pp:60-71 [Conf]
  26. Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, George Karypis
    Effective Document Clustering for Large Heterogeneous Law Firm Collections. [Citation Graph (0, 0)][DBLP]
    ICAIL, 2005, pp:177-187 [Conf]
  27. Cristinel Ababei, Navaratnasothie Selvakkumaran, Kia Bazargan, George Karypis
    Multi-objective circuit partitioning for cutsize and path-based delay minimization. [Citation Graph (0, 0)][DBLP]
    ICCAD, 2002, pp:181-185 [Conf]
  28. Navaratnasothie Selvakkumaran, George Karypis
    Multi.Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization. [Citation Graph (0, 0)][DBLP]
    ICCAD, 2003, pp:726-733 [Conf]
  29. Mukund Deshpande, Michihiro Kuramochi, George Karypis
    Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:35-42 [Conf]
  30. Valerie Guralnik, George Karypis
    A Scalable Algorithm for Clustering Sequential Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:179-186 [Conf]
  31. Michihiro Kuramochi, George Karypis
    Frequent Subgraph Discovery. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:313-320 [Conf]
  32. Michihiro Kuramochi, George Karypis
    Discovering Frequent Geometric Subgraphs. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:258-265 [Conf]
  33. Michihiro Kuramochi, George Karypis
    GREW-A Scalable Frequent Subgraph Discovery Algorithm. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:439-442 [Conf]
  34. Masakazu Seno, George Karypis
    LPMiner: An Algorithm for Finding Frequent Itemsets Using Length-Decreasing Support Constraint. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:505-512 [Conf]
  35. Masakazu Seno, George Karypis
    SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:418-425 [Conf]
  36. Jianyong Wang, George Karypis
    SUMMARY: Efficiently Summarizing Transactions for Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:241-248 [Conf]
  37. Nikil Wale, George Karypis
    Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:678-689 [Conf]
  38. George Karypis, Vipin Kumar
    Multilevel Graph Partitioning Schemes. [Citation Graph (0, 0)][DBLP]
    ICPP (3), 1995, pp:113-122 [Conf]
  39. William Leinberger, George Karypis, Vipin Kumar
    Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints. [Citation Graph (0, 0)][DBLP]
    ICPP, 1999, pp:404-412 [Conf]
  40. Mahesh V. Joshi, George Karypis, Vipin Kumar
    ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets. [Citation Graph (0, 0)][DBLP]
    IPPS/SPDP, 1998, pp:573-579 [Conf]
  41. George Karypis, Vipin Kumar
    Efficient Parallel Mappings of a Dynamic Programming Algorithm: A Summary of Results. [Citation Graph (0, 0)][DBLP]
    IPPS, 1993, pp:563-568 [Conf]
  42. George Karypis, Vipin Kumar
    Parallel Multilevel Graph Partitioning. [Citation Graph (0, 0)][DBLP]
    IPPS, 1996, pp:314-319 [Conf]
  43. Vipin Kumar, Kirk Schloegel, George Karypis
    Graph Partitioning for Dynamic, Adaptive, and Multi-phase Computations. [Citation Graph (0, 0)][DBLP]
    IPDPS Workshops, 2000, pp:476-476 [Conf]
  44. Amine Abou-Rjeili, George Karypis
    Multilevel algorithms for partitioning power-law graphs. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2006, pp:- [Conf]
  45. Ying Zhao, George Karypis
    Improve Precategorized Collection Retrieval by Using Supervised Term Weighting Schemes. [Citation Graph (0, 0)][DBLP]
    ITCC, 2002, pp:16-21 [Conf]
  46. Mukund Deshpande, Michihiro Kuramochi, George Karypis
    Automated Approaches for Classifying Structures. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2002, pp:11-18 [Conf]
  47. Krishna Gade, Jianyong Wang, George Karypis
    Efficient closed pattern mining in the presence of tough block constraints. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:138-147 [Conf]
  48. Valerie Guralnik, George Karypis
    A scalable algorithm for clustering protein sequences. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:73-80 [Conf]
  49. Mahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar
    Efficient Parallel Algorithms for Mining Associations. [Citation Graph (0, 0)][DBLP]
    Large-Scale Parallel Data Mining, 1999, pp:83-126 [Conf]
  50. Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis
    Coherent closed quasi-clique discovery from large dense graph databases. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:797-802 [Conf]
  51. Mukund Deshpande, George Karypis
    Evaluation of Techniques for Classifying Biological Sequences. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2002, pp:417-431 [Conf]
  52. Eui-Hong Han, George Karypis, Vipin Kumar
    Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:53-65 [Conf]
  53. Eui-Hong Han, George Karypis
    Centroid-Based Document Classification: Analysis and Experimental Results. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:424-431 [Conf]
  54. Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, George Karypis, Vipin Kumar
    Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results. [Citation Graph (0, 0)][DBLP]
    PPSC, 1997, pp:- [Conf]
  55. George Karypis, Anshul Gupta, Vipin Kumar
    A Highly Parallel Interior Point Algorithm. [Citation Graph (0, 0)][DBLP]
    PPSC, 1995, pp:110-112 [Conf]
  56. George Karypis, Vipin Kumar
    A Coarse-Grain Parallel Formulation of Multilevel k-way Graph Partitioning Algorithm. [Citation Graph (0, 0)][DBLP]
    PPSC, 1997, pp:- [Conf]
  57. Mahesh V. Joshi, George Karypis, Vipin Kumar, Anshul Gupta, Fred G. Gustavson
    PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver. [Citation Graph (0, 0)][DBLP]
    PPSC, 1999, pp:- [Conf]
  58. Vipin Kumar, George Karypis, Ananth Grama
    Role of Message-Passing in Performance Oriented Parallel Programming. [Citation Graph (0, 0)][DBLP]
    PPSC, 1997, pp:- [Conf]
  59. Kirk Schloegel, George Karypis, Vipin Kumar
    Dynamic Repartitioning of Adaptively Refined Meshes. [Citation Graph (0, 0)][DBLP]
    PPSC, 1999, pp:- [Conf]
  60. George Karypis
    Multi-Constraint Mesh Partitioning for Contact/Impact Computations. [Citation Graph (0, 0)][DBLP]
    SC, 2003, pp:56- [Conf]
  61. George Karypis, Anshul Gupta, Vipin Kumar
    A parallel formulation of interior point algorithms. [Citation Graph (0, 0)][DBLP]
    SC, 1994, pp:204-213 [Conf]
  62. George Karypis, Vipin Kumar
    Unstructured Tree Search on SIMD Parallel Computers: A Summary of Results. [Citation Graph (0, 0)][DBLP]
    SC, 1992, pp:453-462 [Conf]
  63. George Karypis, Vipin Kumar
    Analysis of Multilevel Graph Partitioning. [Citation Graph (0, 0)][DBLP]
    SC, 1995, pp:- [Conf]
  64. Irene Moulitsas, George Karypis
    Multilevel algorithms for generating coarse grids for multigrid methods. [Citation Graph (0, 0)][DBLP]
    SC, 2001, pp:45- [Conf]
  65. Kirk Schloegel, George Karypis, Vipin Kumar
    A Unified Algorithm for Load-balancing Adaptive Scientific Simulations. [Citation Graph (0, 0)][DBLP]
    SC, 2000, pp:- [Conf]
  66. Michihiro Kuramochi, George Karypis
    Finding Frequent Patterns in a Large Sparse Graph. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  67. Al Rashid, George Karypis, John Riedl
    Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  68. Jianyong Wang, George Karypis
    BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  69. Jianyong Wang, George Karypis
    HARMONY: Efficiently Mining the Best Rules for Classification. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  70. Ying Zhao, George Karypis
    Topic-driven Clustering for Document Datasets. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  71. Badrul M. Sarwar, George Karypis, Joseph A. Konstan, John Riedl
    Analysis of recommendation algorithms for e-commerce. [Citation Graph (0, 0)][DBLP]
    ACM Conference on Electronic Commerce, 2000, pp:158-167 [Conf]
  72. Navaratnasothie Selvakkumaran, Phiroze N. Parakh, George Karypis
    Perimeter-degree: a priori metric for directly measuring and homogenizing interconnection complexity in multilevel placement. [Citation Graph (0, 0)][DBLP]
    SLIP, 2003, pp:53-59 [Conf]
  73. Kirk Schloegel, George Karypis, Vipin Kumar
    Load Balancing of Dynamic and Adaptive Mesh-Based Computations. [Citation Graph (0, 0)][DBLP]
    Symposium on Reliable Distributed Systems, 1998, pp:311- [Conf]
  74. B. Uygar Oztekin, George Karypis, Vipin Kumar
    Expert agreement and content based reranking in a meta search environment using Mearf. [Citation Graph (0, 0)][DBLP]
    WWW, 2002, pp:333-344 [Conf]
  75. Badrul M. Sarwar, George Karypis, Joseph A. Konstan, John Riedl
    Item-based collaborative filtering recommendation algorithms. [Citation Graph (0, 0)][DBLP]
    WWW, 2001, pp:285-295 [Conf]
  76. Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
    Document Categorization and Query Generation on the World Wide Web Using WebACE. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1999, v:13, n:5-6, pp:365-391 [Journal]
  77. Huzefa Rangwala, George Karypis
    Profile-based direct kernels for remote homology detection and fold recognition. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:23, pp:4239-4247 [Journal]
  78. Huzefa Rangwala, George Karypis
    Incremental window-based protein sequence alignment algorithms. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:2, pp:17-23 [Journal]
  79. Kirk Schloegel, George Karypis, Vipin Kumar
    Parallel static and dynamic multi-constraint graph partitioning. [Citation Graph (0, 0)][DBLP]
    Concurrency and Computation: Practice and Experience, 2002, v:14, n:3, pp:219-240 [Journal]
  80. Naren Ramakrishnan, Benjamin J. Keller, Batul J. Mirza, Ananth Grama, George Karypis
    When being Weak is Brave: Privacy in Recommender Systems [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  81. Michihiro Kuramochi, George Karypis
    Finding Frequent Patterns in a Large Sparse Graph*. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2005, v:11, n:3, pp:243-271 [Journal]
  82. Masakazu Seno, George Karypis
    Finding Frequent Patterns Using Length-Decreasing Support Constraints. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2005, v:10, n:3, pp:197-228 [Journal]
  83. Ying Zhao, George Karypis, Usama M. Fayyad
    Hierarchical Clustering Algorithms for Document Datasets. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2005, v:10, n:2, pp:141-168 [Journal]
  84. Michihiro Kuramochi, George Karypis
    Gene Classification Using Expression Profiles: A Feasibility Study. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2005, v:14, n:4, pp:641-660 [Journal]
  85. Ying Zhao, George Karypis
    Prediction of Contact Maps Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2005, v:14, n:5, pp:849-866 [Journal]
  86. Naren Ramakrishnan, Benjamin J. Keller, Batul J. Mirza, Ananth Grama, George Karypis
    Privacy Risks in Recommender Systems. [Citation Graph (0, 0)][DBLP]
    IEEE Internet Computing, 2001, v:5, n:6, pp:54-62 [Journal]
  87. George Karypis, Vipin Kumar
    A Parallel Algorithm for Multilevel Graph Partitioning and Sparse Matrix Ordering. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1998, v:48, n:1, pp:71-95 [Journal]
  88. George Karypis, Vipin Kumar
    Multilevel k-way Partitioning Scheme for Irregular Graphs. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1998, v:48, n:1, pp:96-129 [Journal]
  89. Kirk Schloegel, George Karypis, Vipin Kumar
    Multilevel Diffusion Schemes for Repartitioning of Adaptive Meshes. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1997, v:47, n:2, pp:109-124 [Journal]
  90. Jianyong Wang, George Karypis
    On efficiently summarizing categorical databases. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:9, n:1, pp:19-37 [Journal]
  91. Ying Zhao, George Karypis
    Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:55, n:3, pp:311-331 [Journal]
  92. Rupak Biswas, Bruce Hendrickson, George Karypis
    Graph partitioning and parallel computing. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 2000, v:26, n:12, pp:1515-1517 [Journal]
  93. Valerie Guralnik, George Karypis
    Parallel tree-projection-based sequence mining algorithms. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 2004, v:30, n:4, pp:443-472 [Journal]
  94. Mohammed J. Zaki, George Karypis, Jiong Yang
    BIOKDD06: data mining in Bioinformatics. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2006, v:8, n:2, pp:78- [Journal]
  95. Navaratnasothie Selvakkumaran, George Karypis
    Multiobjective hypergraph-partitioning algorithms for cut and maximum subdomain-degree minimization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. on CAD of Integrated Circuits and Systems, 2006, v:25, n:3, pp:504-517 [Journal]
  96. Mukund Deshpande, Michihiro Kuramochi, Nikil Wale, George Karypis
    Frequent Substructure-Based Approaches for Classifying Chemical Compounds. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:8, pp:1036-1050 [Journal]
  97. Eui-Hong Han, George Karypis, Vipin Kumar
    Scalable Parallel Data Mining for Association Rules. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2000, v:12, n:3, pp:377-352 [Journal]
  98. Michihiro Kuramochi, George Karypis
    An Efficient Algorithm for Discovering Frequent Subgraphs. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2004, v:16, n:9, pp:1038-1051 [Journal]
  99. Jianyong Wang, George Karypis
    On Mining Instance-Centric Classification Rules. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:11, pp:1497-1511 [Journal]
  100. Mukund Deshpande, George Karypis
    Item-based top-N recommendation algorithms. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2004, v:22, n:1, pp:143-177 [Journal]
  101. Mukund Deshpande, George Karypis
    Selective Markov models for predicting Web page accesses. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Internet Techn., 2004, v:4, n:2, pp:163-184 [Journal]
  102. Anshul Gupta, George Karypis, Vipin Kumar
    Highly Scalable Parallel Algorithms for Sparse Matrix Factorization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1997, v:8, n:5, pp:502-520 [Journal]
  103. George Karypis, Vipin Kumar
    Unstructured Tree Search on SIMD Parallel Computers. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1994, v:5, n:10, pp:1057-1072 [Journal]
  104. Kirk Schloegel, George Karypis, Vipin Kumar
    Wavefront Diffusion and LMSR: Algorithms for Dynamic Repartitioning of Adaptive Meshes. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 2001, v:12, n:5, pp:451-466 [Journal]
  105. Steve Reinhardt, George Karypis
    A Multi-Level Parallel Implementation of a Program for Finding Frequent Patterns in a Large Sparse Graph. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2007, pp:1-8 [Conf]
  106. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal
    Discriminating Subsequence Discovery for Sequence Clustering. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  107. Michihiro Kuramochi, George Karypis
    Discovering frequent geometric subgraphs. [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 2007, v:32, n:8, pp:1101-1120 [Journal]
  108. Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis
    Out-of-core coherent closed quasi-clique mining from large dense graph databases. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Database Syst., 2007, v:32, n:2, pp:13- [Journal]
  109. George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar
    Multilevel hypergraph partitioning: applications in VLSI domain. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. VLSI Syst., 1999, v:7, n:1, pp:69-79 [Journal]

  110. fRMSDAlign: Protein Sequence Alignment Using Predicted Local Structure Information for Pairs with Low Sequence Identity. [Citation Graph (, )][DBLP]


  111. Architecture Aware Partitioning Algorithms. [Citation Graph (, )][DBLP]


  112. The Set Classification Problem and Solution Methods. [Citation Graph (, )][DBLP]


  113. Towards a Scalable k NN CF Algorithm: Exploring Effective Applications of Clustering. [Citation Graph (, )][DBLP]


  114. A Kernel Framework for Protein Residue Annotation. [Citation Graph (, )][DBLP]


  115. TOPTMH: Topology Predictor for Transmembrane alpha-Helices. [Citation Graph (, )][DBLP]


  116. Within-Network Classification Using Local Structure Similarity. [Citation Graph (, )][DBLP]


  117. A Novel Approach to Compute Similarities and Its Application to Item Recommendation. [Citation Graph (, )][DBLP]


  118. An Analysis of Information Content Present in Protein-DNA Interactions. [Citation Graph (, )][DBLP]


  119. The Set Classification Problem and Solution Methods. [Citation Graph (, )][DBLP]


  120. Genome Alignments Using MPI-LAGAN. [Citation Graph (, )][DBLP]


  121. LIBRUS: combined machine learning and homology information for sequence-based ligand-binding residue prediction. [Citation Graph (, )][DBLP]


  122. Building multiclass classifiers for remote homology detection and fold recognition. [Citation Graph (, )][DBLP]


  123. svmPRAT: SVM-based Protein Residue Annotation Toolkit. [Citation Graph (, )][DBLP]


  124. CONTOUR: an efficient algorithm for discovering discriminating subsequences. [Citation Graph (, )][DBLP]


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