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Conferences in DBLP

IEEE International Conference on Data Mining (ICDM) (icdm)
2001 (conf/icdm/2001)

  1. Charu C. Aggarwal, Philip S. Yu
    On Effective Conceptual Indexing and Similarity Search in Text Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:3-10 [Conf]
  2. Aijun An, Yuanyuan Wang
    Comparisons of Classification Methods for Screening Potential Compounds. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:11-18 [Conf]
  3. Michael Anderson
    Knowledge Discovery from Diagrammatically Represented Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:19-26 [Conf]
  4. Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng
    Integrating E-Commerce and Data Mining: Architecture and Challenges. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:27-34 [Conf]
  5. Wai-Ho Au, Keith C. C. Chan
    Classification with Degree of Membership: A Fuzzy Approach. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:35-42 [Conf]
  6. José L. Balcázar, Yang Dai, Osamu Watanabe
    Provably Fast Training Algorithms for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:43-50 [Conf]
  7. Krishna Bharat, Bay-Wei Chang, Monika Rauch Henzinger, Matthias Ruhl
    Who Links to Whom: Mining Linkage between Web Sites. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:51-58 [Conf]
  8. Catherine Blake, Wanda Pratt
    Better Rules, Few Features: A Semantic Approach to Selecting Features from Text. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:59-66 [Conf]
  9. Richard J. Bolton, David J. Hand
    Significance Tests for Patterns in Continuous Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:67-74 [Conf]
  10. R. Chen, Krishnamoorthy Sivakumar, Hillol Kargupta
    Distributed Web Mining Using Bayesian Networks from Multiple Data Streams. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:75-82 [Conf]
  11. Jong-Sheng Cherng, Mei-Jung Lo
    A Hypergraph Based Clustering Algorithm for Spatial Data Sets. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:83-90 [Conf]
  12. David Maxwell Chickering, Christopher Meek, Robert Rounthwaite
    Efficient Determination of Dynamic Split Points in a Decision Tree. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:91-98 [Conf]
  13. Manoranjan Dash, Kian-Lee Tan, Huan Liu
    Efficient Yet Accurate Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:99-106 [Conf]
  14. Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon
    A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:107-114 [Conf]
  15. Tapio Elomaa, Juho Rousu
    Preprocessing Opportunities in Optimal Numerical Range Partitioning. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:115-122 [Conf]
  16. Wei Fan, Matthew Miller, Salvatore J. Stolfo, Wenke Lee, Philip K. Chan
    Using Artificial Anomalies to Detect Unknown and Known Network Intrusions. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:123-130 [Conf]
  17. Tom Fawcett
    Using Rule Sets to Maximize ROC Performance. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:131-138 [Conf]
  18. Hichem Frigui, Mohamed Ben Hadj Rhouma
    A Synchronization Based Algorithm for Discovering Ellipsoidal Clusters in Large Datasets. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:139-146 [Conf]
  19. Joao Gama
    Functional Trees for Classification. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:147-154 [Conf]
  20. Floris Geerts, Bart Goethals, Jan Van den Bussche
    A Tight Upper Bound on the Number of Candidate Patterns. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:155-162 [Conf]
  21. Karam Gouda, Mohammed Javeed Zaki
    Efficiently Mining Maximal Frequent Itemsets. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:163-170 [Conf]
  22. Henner Graubitz, Myra Spiliopoulou, Karsten Winkler
    The DIAsDEM Framework for Converting Domain-Specific Texts into XML Documents with Data Mining Techniques. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:171-178 [Conf]
  23. Valerie Guralnik, George Karypis
    A Scalable Algorithm for Clustering Sequential Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:179-186 [Conf]
  24. Maria Halkidi, Michalis Vazirgiannis
    Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:187-194 [Conf]
  25. Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon
    Automatic Topic Identification Using Webpage Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:195-202 [Conf]
  26. Johan Himberg, Kalle Korpiaho, Heikki Mannila, Johanna Tikanmäki, Hannu Toivonen
    Time Series Segmentation for Context Recognition in Mobile Devices. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:203-210 [Conf]
  27. Shoji Hirano, Shusaku Tsumoto
    Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:211-217 [Conf]
  28. Tzung-Pei Hong, Yeong-Chyi Lee
    Mining Coverage-Based Fuzzy Rules by Evolutional Computation. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:218-224 [Conf]
  29. Ming-Chuan Hung, Don-Lin Yang
    An Efficient Fuzzy C-Means Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:225-232 [Conf]
  30. Xiaohua Hu
    Using Rough Sets Theory and Database Operations to Construct a Good Ensemble of Classifiers for Data Mining Applications. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:233-240 [Conf]
  31. Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
    Fuzzy Data Mining: Effect of Fuzzy Discretization. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:241-248 [Conf]
  32. Chris Jermaine
    The Computational Complexity of High-Dimensional Correlation Search. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:249-256 [Conf]
  33. Mahesh V. Joshi, Vipin Kumar, Ramesh C. Agarwal
    Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:257-264 [Conf]
  34. Sung Young Jung, Taek-Soo Kim
    An Agglomerative Hierarchical Clustering Using Partial Maximum Array and Incremental Similarity Computation Method. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:265-272 [Conf]
  35. Konstantinos Kalpakis, Dhiral Gada, Vasundhara Puttagunta
    Distance Measures for Effective Clustering of ARIMA Time-Series. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:273-280 [Conf]
  36. Hillol Kargupta, Byung-Hoon Park
    Mining Decision Trees from Data Streams in a Mobile Environment. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:281-288 [Conf]
  37. Eamonn J. Keogh, Selina Chu, David Hart, Michael J. Pazzani
    An Online Algorithm for Segmenting Time Series. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:289-296 [Conf]
  38. Thomas Knight, Jon Timmis
    AINE: An Immunological Approach to Data Mining. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:297-304 [Conf]
  39. Marzena Kryszkiewicz
    Concise Representation of Frequent Patterns Based on Disjunction-Free Generators. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:305-312 [Conf]
  40. Michihiro Kuramochi, George Karypis
    Frequent Subgraph Discovery. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:313-320 [Conf]
  41. Henry E. Kyburg Jr.
    Statistical Considerations in Learning from Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:321-328 [Conf]
  42. Zarrin Langari, Frank Wm. Tompa
    Subject Classification in the Oxford English Dictionary. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:329-336 [Conf]
  43. Chang-Hung Lee, Cheng-Ru Lin, Ming-Syan Chen
    On Mining General Temporal Association Rules in a Publication Database. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:337-344 [Conf]
  44. Jung-Won Lee, Kiho Lee, Won Kim
    Preparations for Semantics-Based XML Mining. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:345-352 [Conf]
  45. Beitao Li, Wei-Cheng Lai, Edward Y. Chang, Kwang-Ting Cheng
    Mining Image Features for Efficient Query Processing. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:353-360 [Conf]
  46. Jiuyong Li, Hong Shen, Rodney W. Topor
    Mining the Smallest Association Rule Set for Predictions. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:361-368 [Conf]
  47. Wenmin Li, Jiawei Han, Jian Pei
    CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:369-376 [Conf]
  48. Bing Liu, Yiming Ma, Ronnie Lee
    Analyzing the Interestingness of Association Rules from the Temporal Dimension. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:377-384 [Conf]
  49. Gary Livingston, John M. Rosenberg, Bruce G. Buchanan
    Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:385-392 [Conf]
  50. Gary Livingston, John M. Rosenberg, Bruce G. Buchanan
    Closing the Loop: Heuristics for Autonomous Discovery. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:393-400 [Conf]
  51. Wen-Hsiang Lu, Lee-Feng Chien, Hsi-Jian Lee
    Anchor Text Mining for Translation of Web Queries. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:401-408 [Conf]
  52. Sheng Ma, Joseph L. Hellerstein
    Mining Mutually Dependent Patterns. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:409-416 [Conf]
  53. Paul Munteanu, Mohamed Bendou
    The EQ Framework for Learning Equivalence Classes of Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:417-424 [Conf]
  54. Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu
    Visualizing Association Mining Results through Hierarchical Clusters. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:425-432 [Conf]
  55. Carlos Ordonez, Edward Omiecinski, Levien de Braal, Cesar A. Santana, Norberto F. Ezquerra, José A. Taboada, C. David Cooke, Elizabeth Krawczynska, Ernest V. Garcia
    Mining Constrained Association Rules to Predict Heart Disease. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:433-440 [Conf]
  56. Jian Pei, Jiawei Han, Hongjun Lu, Shojiro Nishio, Shiwei Tang, Dongqing Yang
    H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:441-448 [Conf]
  57. Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein
    FARM: A Framework for Exploring Mining Spaces with Multiple Attributes. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:449-456 [Conf]
  58. Kimmo Raivio, Olli Simula, Jaana Laiho
    Neural Analysis of Mobile Radio Access Network. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:457-466 [Conf]
  59. Graeme Richards, Victor J. Rayward-Smith
    Discovery of Association Rules in Tabular Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:465-472 [Conf]
  60. Lior Rokach, Oded Maimon
    Theory and Applications of Attribute Decomposition. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:473-480 [Conf]
  61. Pierre-Yves Rolland
    FlExPat: Flexible Extraction of Sequential Patterns. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:481-488 [Conf]
  62. Sigal Sahar
    Interestingness PreProcessing. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:489-496 [Conf]
  63. Ying Sai, Yiyu Yao, Ning Zhong
    Data Analysis and Mining in Ordered Information Tables. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:497-504 [Conf]
  64. 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]
  65. Joaquim Ferreira da Silva, João Mexia, Carlos Agra Coelho, José Gabriel Pereira Lopes
    Document Clustering and Cluster Topic Extraction in Multilingual Corpora. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:513-520 [Conf]
  66. Aixin Sun, Ee-Peng Lim
    Hierarchical Text Classification and Evaluation. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:521-528 [Conf]
  67. François Velin, Pascale Kuntz, Henri Briand
    Web Cartography for Online State Promotion: An Algorithm for Clustering Web Resources. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:529-535 [Conf]
  68. Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng
    Maintenance of Sequential Patterns for Record Deletion. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:536-541 [Conf]
  69. Haixun Wang, Philip S. Yu
    SSDT: A Scalable Subspace-Splitting Classifier for Biased Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:542-549 [Conf]
  70. Wei Wang, Jiong Yang, Philip S. Yu
    Meta-patterns: Revealing Hidden Periodic Patterns. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:550-557 [Conf]
  71. Virginia Wheway
    Using Boosting to Simplify Classification Models. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:558-565 [Conf]

  72. Interestingness, Peculiarity, and Multi-Database Mining. [Citation Graph (, )][DBLP]

  73. Fernando Alonso, Juan Pedro Caraça-Valente, Loïc Martínez, César Montes
    Discovering Similar Patterns for Characterising Time Series in a Medical Domain. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:577-579 [Conf]
  74. Nitesh V. Chawla, Steven Eschrich, Lawrence O. Hall
    Creating Ensembles of Classifiers. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:580-581 [Conf]
  75. Jie Chen, Haiying Li, Shiwei Tang
    Association Rules Enhanced Classification of Underwater Acoustic Signal. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:582-583 [Conf]
  76. June-Suh Cho, Nabil R. Adam
    Efficient Splitting Rules Based on the Probabilities of Pre-assigned Intervals. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:584-585 [Conf]
  77. Honghua Dai, Xiaoshu Hang, Gang Li
    Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:586-588 [Conf]
  78. Carlotta Domeniconi, Dimitrios Gunopulos
    Incremental Support Vector Machine Construction. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:589-592 [Conf]
  79. Wolfgang Gaul, Lars Schmidt-Thieme
    Mining Generalized Association Rules for Sequential and Path Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:593-596 [Conf]
  80. Rayid Ghani
    Combining Labeled and Unlabeled Data for Text Classification with a Large Number of Categories. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:597-598 [Conf]
  81. Daniel Gillblad, Anders Holst
    Dependency Derivation in Industrial Process Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:599-602 [Conf]
  82. Sherri K. Harms, Jitender S. Deogun, Jamil Saquer, Tsegaye Tadesse
    Discovering Representative Episodal Association Rules from Event Sequences Using Frequent Closed Episode Sets and Event Constraints. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:603-606 [Conf]
  83. Andreas Hotho, Alexander Maedche, Steffen Staab
    Text Clustering Based on Good Aggregations. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:607-608 [Conf]
  84. Hasan M. Jamil
    Ad Hoc Association Rule Mining as SQL3 Queries. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:609-612 [Conf]
  85. Viviane Crestana-Jensen, Nandit Soparkar
    Heuristic Optimization for Decentralized Frequent Itemset Counting. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:613-614 [Conf]
  86. Gang Li, Fu Tong, Honghua Dai
    Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:615-616 [Conf]
  87. Xu Liang, Yao Liang
    Applications of Data Mining in Hydrology. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:617-620 [Conf]
  88. Zhiyong Liu, Lei Xu
    RPCL-Based Local PCA Algorithm. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:621-622 [Conf]
  89. Manolis Maragoudakis, Katia Kermanidis, Nikos Fakotakis, George K. Kokkinakis
    Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:623-625 [Conf]
  90. Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen
    Bayesian Data Mining on the Web with B-Course. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:626-629 [Conf]
  91. Tadashi Nomoto, Yuji Matsumoto
    An Experimental Comparison of Supervised and Unsupervised Approaches to Text Summarization. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:630-632 [Conf]
  92. Carlos Ordonez, Edward Omiecinski, Norberto F. Ezquerra
    A Fast Algorithm to Cluster High Dimensional Basket Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:633-636 [Conf]
  93. Jürgen Paetz
    Metric Rule Generation with Septic Shock Patient Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:637-638 [Conf]
  94. Viet Phan Luong
    The Representative Basis for Association Rules. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:639-640 [Conf]
  95. Stefan Rüping
    Incremental Learning with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:641-642 [Conf]
  96. Guillermo Sánchez-Díaz, José Ruiz-Shulcloper
    A Clustering Method for Very Large Mixed Data Sets. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:643-644 [Conf]
  97. Tobias Scheffer, Christian Decomain, Stefan Wrobel
    Mining the Web with Active Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:645-646 [Conf]
  98. Pascal Soucy, Guy W. Mineau
    A Simple KNN Algorithm for Text Categorization. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:647-648 [Conf]
  99. Sam Steingold, Richard Wherry, Gregory Piatetsky-Shapiro
    Measuring Real-Time Predictive Models. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:649-650 [Conf]
  100. Fengzhan Tian, Hongwei Zhang, Yuchang Lu, Chunyi Shi
    Incremental Learning of Bayesian Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:651-652 [Conf]
  101. Fan-Chen Tseng, Ching-Chi Hsu, Henry Chen
    Mining Frequent Closed Itemsets with the Frequent Pattern List. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:653-654 [Conf]
  102. Hui Wang, Ivo Düntsch, David A. Bell, Dayou Liu
    Classification through Maximizing Density. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:655-656 [Conf]
  103. Lei Wang, Licheng Jiao
    An Immune Neural Network Used for Classification. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:657-658 [Conf]
  104. Xiong Wang
    alpha-Surface and Its Application to Mining Protein Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:659-662 [Conf]
  105. Show-Jane Yen, Yue-Shi Lee
    An Efficient Data Mining Technique for Discovering Interesting Sequential Patterns. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:663-664 [Conf]
  106. Osmar R. Zaïane, Mohammad El-Hajj, Paul Lu
    Fast Parallel Association Rule Mining without Candidacy Generation. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:665-668 [Conf]
  107. Bernard Zenko, Ljupco Todorovski, Saso Dzeroski
    A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:669-670 [Conf]
  108. Du Zhang, Quoc Luan Ha, Meiliu Lu
    Mining California Vital Statistics Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:671-672 [Conf]
  109. Qinghua Zou, Wesley W. Chu, David B. Johnson, Henry Chiu
    A Pattern Decomposition (PD) Algorithm for Finding All Frequent Patterns in Large Datasets. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:673-674 [Conf]
NOTICE1
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NOTICE2
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System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
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