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Conferences in DBLP

Knowledge Discovery and Data Mining (KDD) (kdd)
2004 (conf/kdd/2004)

  1. Eric Haseltine
    User-centered design for KDD. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:1- [Conf]
  2. David Heckerman
    Graphical models for data mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:2- [Conf]
  3. Naoki Abe, Bianca Zadrozny, John Langford
    An iterative method for multi-class cost-sensitive learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:3-11 [Conf]
  4. Foto N. Afrati, Aristides Gionis, Heikki Mannila
    Approximating a collection of frequent sets. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:12-19 [Conf]
  5. Eugene Agichtein, Venkatesh Ganti
    Mining reference tables for automatic text segmentation. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:20-29 [Conf]
  6. Edoardo Airoldi, Christos Faloutsos
    Recovering latent time-series from their observed sums: network tomography with particle filters. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:30-39 [Conf]
  7. Brigham Anderson, Andrew W. Moore, Andrew Connolly, Robert Nichol
    Fast nonlinear regression via eigenimages applied to galactic morphology. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:40-48 [Conf]
  8. Anthony J. Bagnall, Gareth J. Janacek
    Clustering time series from ARMA models with clipped data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:49-58 [Conf]
  9. Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
    A probabilistic framework for semi-supervised clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:59-68 [Conf]
  10. Rich Caruana, Alexandru Niculescu-Mizil
    Data mining in metric space: an empirical analysis of supervised learning performance criteria. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:69-78 [Conf]
  11. Deepayan Chakrabarti, Spiros Papadimitriou, Dharmendra S. Modha, Christos Faloutsos
    Fully automatic cross-associations. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:79-88 [Conf]
  12. William W. Cohen, Sunita Sarawagi
    Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:89-98 [Conf]
  13. Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. Sanghai, Deepak Verma
    Adversarial classification. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:99-108 [Conf]
  14. Theodoros Evgeniou, Massimiliano Pontil
    Regularized multi--task learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:109-117 [Conf]
  15. Christos Faloutsos, Kevin S. McCurley, Andrew Tomkins
    Fast discovery of connection subgraphs. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:118-127 [Conf]
  16. Wei Fan
    Systematic data selection to mine concept-drifting data streams. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:128-137 [Conf]
  17. 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]
  18. Bin He, Kevin Chen-Chuan Chang, Jiawei Han
    Discovering complex matchings across web query interfaces: a correlation mining approach. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:148-157 [Conf]
  19. Tamás Horváth, Thomas Gärtner, Stefan Wrobel
    Cyclic pattern kernels for predictive graph mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:158-167 [Conf]
  20. Minqing Hu, Bing Liu
    Mining and summarizing customer reviews. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:168-177 [Conf]
  21. Szymon Jaroszewicz, Dan A. Simovici
    Interestingness of frequent itemsets using Bayesian networks as background knowledge. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:178-186 [Conf]
  22. Glen Jeh, Jennifer Widom
    Mining the space of graph properties. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:187-196 [Conf]
  23. Xin Jin, Yanzan Zhou, Bamshad Mobasher
    Web usage mining based on probabilistic latent semantic analysis. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:197-205 [Conf]
  24. Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana
    Towards parameter-free data mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:206-215 [Conf]
  25. Ravi Kumar, Uma Mahadevan, D. Sivakumar
    A graph-theoretic approach to extract storylines from search results. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:216-225 [Conf]
  26. Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wang
    Incremental maintenance of quotient cube for median. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:226-235 [Conf]
  27. Nikos Mamoulis, Huiping Cao, George Kollios, Marios Hadjieleftheriou, Yufei Tao, David W. Cheung
    Mining, indexing, and querying historical spatiotemporal data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:236-245 [Conf]
  28. Ion Muslea
    Machine learning for online query relaxation. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:246-255 [Conf]
  29. Daniel B. Neill, Andrew W. Moore
    Rapid detection of significant spatial clusters. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:256-265 [Conf]
  30. Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malcolm Potts, Richard F. Helm
    Turning CARTwheels: an alternating algorithm for mining redescriptions. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:266-275 [Conf]
  31. Jude W. Shavlik, Mark Shavlik
    Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:276-285 [Conf]
  32. Andrew T. Smith, Charles Elkan
    A Bayesian network framework for reject inference. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:286-295 [Conf]
  33. Michael Steinbach, Pang-Ning Tan, Vipin Kumar
    Support envelopes: a technique for exploring the structure of association patterns. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:296-305 [Conf]
  34. Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas L. Griffiths
    Probabilistic author-topic models for information discovery. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:306-315 [Conf]
  35. Chen Wang, Wei Wang, Jian Pei, Yongtai Zhu, Baile Shi
    Scalable mining of large disk-based graph databases. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:316-325 [Conf]
  36. Xiaoyun Wu, Rohini K. Srihari
    Incorporating prior knowledge with weighted margin support vector machines. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:326-333 [Conf]
  37. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar
    Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:334-343 [Conf]
  38. Guizhen Yang
    The complexity of mining maximal frequent itemsets and maximal frequent patterns. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:344-353 [Conf]
  39. Jieping Ye, Ravi Janardan, Qi Li
    GPCA: an efficient dimension reduction scheme for image compression and retrieval. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:354-363 [Conf]
  40. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar
    IDR/QR: an incremental dimension reduction algorithm via QR decomposition. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:364-373 [Conf]
  41. Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin
    On the discovery of significant statistical quantitative rules. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:374-383 [Conf]
  42. Xin Zhang, Nikos Mamoulis, David W. Cheung, Yutao Shou
    Fast mining of spatial collocations. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:384-393 [Conf]
  43. Kamal Ali, Wijnand van Stam
    TiVo: making show recommendations using a distributed collaborative filtering architecture. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:394-401 [Conf]
  44. Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko Krema
    Predicting customer shopping lists from point-of-sale purchase data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:402-409 [Conf]
  45. Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee
    A rank sum test method for informative gene discovery. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:410-419 [Conf]
  46. Steve Donoho
    Early detection of insider trading in option markets. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:420-429 [Conf]
  47. Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang
    Mining coherent gene clusters from gene-sample-time microarray data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:430-439 [Conf]
  48. Tsuyoshi Idé, Hisashi Kashima
    Eigenspace-based anomaly detection in computer systems. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:440-449 [Conf]
  49. Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath
    Effective localized regression for damage detection in large complex mechanical structures. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:450-459 [Conf]
  50. Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom
    Visually mining and monitoring massive time series. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:460-469 [Conf]
  51. Jeremy Z. Kolter, Marcus A. Maloof
    Learning to detect malicious executables in the wild. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:470-478 [Conf]
  52. Lian Yan, David Verbel, Olivier Saidi
    Predicting prostate cancer recurrence via maximizing the concordance index. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:479-485 [Conf]
  53. Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki
    Density-based spam detector. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:486-493 [Conf]
  54. Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller
    V-Miner: using enhanced parallel coordinates to mine product design and test data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:494-502 [Conf]
  55. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu
    On demand classification of data streams. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:503-508 [Conf]
  56. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha
    A generalized maximum entropy approach to bregman co-clustering and matrix approximation. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:509-514 [Conf]
  57. Arindam Banerjee, John Langford
    An objective evaluation criterion for clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:515-520 [Conf]
  58. Jinbo Bi, Tong Zhang, Kristin P. Bennett
    Column-generation boosting methods for mixture of kernels. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:521-526 [Conf]
  59. Hong Cheng, Xifeng Yan, Jiawei Han
    IncSpan: incremental mining of sequential patterns in large database. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:527-532 [Conf]
  60. James Chilson, Raymond T. Ng, Alan Wagner, Ruben H. Zamar
    Parallel computation of high dimensional robust correlation and covariance matrices. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:533-538 [Conf]
  61. Kaustav Das, Andrew W. Moore, Jeff G. Schneider
    Belief state approaches to signaling alarms in surveillance systems. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:539-544 [Conf]
  62. Ian Davidson, Goutam Paul
    Locating secret messages in images. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:545-550 [Conf]
  63. Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
    Kernel k-means: spectral clustering and normalized cuts. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:551-556 [Conf]
  64. Martin Ester, Rong Ge, Wen Jin, Zengjian Hu
    A microeconomic data mining problem: customer-oriented catalog segmentation. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:557-562 [Conf]
  65. Bobi Gilburd, Assaf Schuster, Ran Wolff
    k-TTP: a new privacy model for large-scale distributed environments. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:563-568 [Conf]
  66. Giles Hooker
    Diagnosing extrapolation: tree-based density estimation. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:569-574 [Conf]
  67. Giles Hooker
    Discovering additive structure in black box functions. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:575-580 [Conf]
  68. Jun Huan, Wei Wang, Jan Prins, Jiong Yang
    SPIN: mining maximal frequent subgraphs from graph databases. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:581-586 [Conf]
  69. Vijay S. Iyengar
    On detecting space-time clusters. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:587-592 [Conf]
  70. David Jensen, Jennifer Neville, Brian Gallagher
    Why collective inference improves relational classification. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:593-598 [Conf]
  71. Murat Kantarcioglu, Jiashun Jin, Chris Clifton
    When do data mining results violate privacy? [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:599-604 [Conf]
  72. Aleksander Kolcz, Abdur Chowdhury, Joshua Alspector
    Improved robustness of signature-based near-replica detection via lexicon randomization. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:605-610 [Conf]
  73. Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agrawal
    Learning spatially variant dissimilarity (SVaD) measures. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:611-616 [Conf]
  74. Yifan Li, Jiawei Han, Jiong Yang
    Clustering moving objects. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:617-622 [Conf]
  75. Jinze Liu, Wei Wang, Jiong Yang
    A framework for ontology-driven subspace clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:623-628 [Conf]
  76. Ting Liu, Ke Yang, Andrew W. Moore
    The IOC algorithm: efficient many-class non-parametric classification for high-dimensional data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:629-634 [Conf]
  77. Avraham A. Melkman, Eran Shaham
    Sleeved coclustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:635-640 [Conf]
  78. Apostol Natsev, Milind R. Naphade, John R. Smith
    Semantic representation: search and mining of multimedia content. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:641-646 [Conf]
  79. Siegfried Nijssen, Joost N. Kok
    A quickstart in frequent structure mining can make a difference. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:647-652 [Conf]
  80. Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, Pinar Duygulu
    Automatic multimedia cross-modal correlation discovery. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:653-658 [Conf]
  81. David Poole
    Estimating the size of the telephone universe: a Bayesian Mark-recapture approach. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:659-664 [Conf]
  82. Alexandrin Popescul, Lyle H. Ungar
    Cluster-based concept invention for statistical relational learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:665-670 [Conf]
  83. Paat Rusmevichientong, Shenghuo Zhu, David Selinger
    Identifying early buyers from purchase data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:671-677 [Conf]
  84. Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerome P. Reiter
    Privacy preserving regression modelling via distributed computation. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:677-682 [Conf]
  85. Jouni K. Seppänen, Heikki Mannila
    Dense itemsets. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:683-688 [Conf]
  86. Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar
    Generalizing the notion of support. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:689-694 [Conf]
  87. Pang-Ning Tan, Rong Jin
    Ordering patterns by combining opinions from multiple sources. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:695-700 [Conf]
  88. Peter Tiño, Ata Kabán, Yi Sun
    A generative probabilistic approach to visualizing sets of symbolic sequences. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:701-706 [Conf]
  89. Michail Vlachos, Dimitrios Gunopulos, Gautam Das
    Rotation invariant distance measures for trajectories. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:707-712 [Conf]
  90. Rebecca N. Wright, Zhiqiang Yang
    Privacy-preserving Bayesian network structure computation on distributed heterogeneous data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:713-718 [Conf]
  91. Andrew Y. Wu, Michael Garland, Jiawei Han
    Mining scale-free networks using geodesic clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:719-724 [Conf]
  92. Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, Hua Li, Zheng Chen, Wensi Xi, Weiguo Fan, Wei-Ying Ma, QianSheng Cheng
    IMMC: incremental maximum margin criterion. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:725-730 [Conf]
  93. Liang Huai Yang, Mong-Li Lee, Wynne Hsu, Xinyu Guo
    2PXMiner: an efficient two pass mining of frequent XML query patterns. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:731-736 [Conf]
  94. Lei Yu, Huan Liu
    Redundancy based feature selection for microarray data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:737-742 [Conf]
  95. ChengXiang Zhai, Atulya Velivelli, Bei Yu
    A cross-collection mixture model for comparative text mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:743-748 [Conf]
  96. Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanzode
    A data mining approach to modeling relationships among categories in image collection. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:749-754 [Conf]
  97. Zhiqiang Zheng, Balaji Padmanabhan, Haoqiang Zheng
    A DEA approach for model combination. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:755-760 [Conf]
  98. Yu Zhu, Lei Liu
    Optimal randomization for privacy preserving data mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:761-766 [Conf]
  99. Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko
    Cross channel optimized marketing by reinforcement learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:767-772 [Conf]
  100. Selim Aksoy, Krzysztof Koperski, Carsten Tusk, Giovanni B. Marchisio
    Interactive training of advanced classifiers for mining remote sensing image archives. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:773-782 [Conf]
  101. Christian Borgs, Jennifer T. Chayes, Mohammad Mahdian, Amin Saberi
    Exploring the community structure of newsgroups. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:783-787 [Conf]
  102. Erick Cantú-Paz, Shawn Newsam, Chandrika Kamath
    Feature selection in scientific applications. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:788-793 [Conf]
  103. Ian Davidson, Ashish Grover, Ashwin Satyanarayana, Giri Kumar Tayi
    A general approach to incorporate data quality matrices into data mining algorithms. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:794-798 [Conf]
  104. Nicolás de Abajo, Alberto B. Diez, Vanesa Lobato, Sergio R. Cuesta
    ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:799-804 [Conf]
  105. Jayant Kalagnanam, Moninder Singh, Sudhir Verma, Michael Patek, Yuk Wah Wong
    A system for automated mapping of bill-of-materials part numbers. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:805-810 [Conf]
  106. Satoshi Morinaga, Kenji Yamanishi
    Tracking dynamics of topic trends using a finite mixture model. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:811-816 [Conf]
  107. Takayuki Nakata, Jun-ichi Takeuchi
    Mining traffic data from probe-car system for travel time prediction. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:817-822 [Conf]
  108. Carlos Ordonez
    Programming the K-means clustering algorithm in SQL. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:823-828 [Conf]
  109. Dmitry Pavlov, Ramnath Balasubramanyan, Byron Dom, Shyam Kapur, Jignashu Parikh
    Document preprocessing for naive Bayes classification and clustering with mixture of multinomials. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:829-834 [Conf]
  110. Young Truong, Xiaodong Lin, Chris Beecher
    Learning a complex metabolomic dataset using random forests and support vector machines. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:835-840 [Conf]
  111. David S. Vogel, Morgan C. Wang
    1-dimensional splines as building blocks for improving accuracy of risk outcomes models. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:841-846 [Conf]
  112. Adam Yeh, Jonathan Tang, Youxuan Jin, Sam Skrivan
    Analytical view of business data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:847-852 [Conf]
NOTICE1
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NOTICE2
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