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Wei Fan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Wei Fan
    On the Optimality of Probability Estimation by Random Decision Trees. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:336-341 [Conf]
  2. Wei Fan, Fang Chu, Haixun Wang, Philip S. Yu
    Pruning and Dynamic Scheduling of Cost-Sensitive Ensembles. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:146-151 [Conf]
  3. Wei Fan, Yunhong Wang, Tieniu Tan
    Video-Based Face Recognition Using Bayesian Inference Model. [Citation Graph (0, 0)][DBLP]
    AVBPA, 2005, pp:122-130 [Conf]
  4. Haixun Wang, Chang-Shing Perng, Wei Fan, Philip S. Yu
    An Index Structure for Pattern Similarity Searching in DNA Microarray Dat. [Citation Graph (0, 0)][DBLP]
    CSB, 2002, pp:256-267 [Conf]
  5. Chaoqin Lei, Weidong Kou, Kai Fan, Wei Fan
    An Traceable Electronic Cash Model Based on Group Signature. [Citation Graph (0, 0)][DBLP]
    CSREA EEE, 2006, pp:209-214 [Conf]
  6. Wei Fan, Dit-Yan Yeung
    Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2006, pp:1384-1390 [Conf]
  7. Wei Fan, Wenke Lee, Salvatore J. Stolfo, Matthew Miller
    A Multiple Model Cost-Sensitive Approach for Intrusion Detection. [Citation Graph (0, 0)][DBLP]
    ECML, 2000, pp:142-153 [Conf]
  8. Wei Fan, Philip S. Yu, Haixun Wang
    Mining Extremely Skewed Trading Anomalies. [Citation Graph (0, 0)][DBLP]
    EDBT, 2004, pp:801-810 [Conf]
  9. Wei Fan, Dit-Yan Yeung
    Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds. [Citation Graph (0, 0)][DBLP]
    FG, 2006, pp:177-182 [Conf]
  10. Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo
    A Fully Distributed Framework for Cost-Sensitive Data Mining. [Citation Graph (0, 0)][DBLP]
    ICDCS, 2002, pp:445-446 [Conf]
  11. Yi-an Huang, Wei Fan, Wenke Lee, Philip S. Yu
    Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies. [Citation Graph (0, 0)][DBLP]
    ICDCS, 2003, pp:478-0 [Conf]
  12. Haixun Wang, Chang-Shing Perng, Wei Fan, Sanghyun Park, Philip S. Yu
    Indexing Weighted-Sequences in Large Databases. [Citation Graph (0, 0)][DBLP]
    ICDE, 2003, pp:63-74 [Conf]
  13. Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté
    Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:3-10 [Conf]
  14. Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu
    An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:605-608 [Conf]
  15. Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Yu, Kevin Drummey
    Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:154-161 [Conf]
  16. Wei Fan, Yi-an Huang, Philip S. Yu
    Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:379-382 [Conf]
  17. 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]
  18. Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, Salvatore J. Stolfo
    Progressive Modeling. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:163-170 [Conf]
  19. Wei Fan, Haixun Wang, Philip S. Yu, Sheng Ma
    Is random model better? On its accuracy and efficiency. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:51-58 [Conf]
  20. Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li
    Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:753-764 [Conf]
  21. Kun Zhang, Wei Fan, Bill P. Buckles, Xiaojing Yuan, Zujia Xu
    Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:741-752 [Conf]
  22. Wei Fan, Fan Xue
    Optimize Cooperative Agents with Organization in Distributed Scheduling System. [Citation Graph (0, 0)][DBLP]
    ICIC (2), 2006, pp:502-509 [Conf]
  23. Wei Liu, Wei Fan, Yunhong Wang, Tieniu Tan
    Local manifold matching for face recognition. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2005, pp:926-929 [Conf]
  24. Wei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip K. Chan
    AdaCost: Misclassification Cost-Sensitive Boosting. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:97-105 [Conf]
  25. Wei Fan, Yunhong Wang, Wei Liu, Tieniu Tan
    Combining Null Space-based Gabor Features for Face Recognition. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2004, pp:330-333 [Conf]
  26. Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo
    Inductive Learning in Less Than One Sequential Data Scan. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:595-600 [Conf]
  27. Wei Fan
    Systematic data selection to mine concept-drifting data streams. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:128-137 [Conf]
  28. Wei Fan, Ian Davidson
    Reverse testing: an efficient framework to select amongst classifiers under sample selection bias. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:147-156 [Conf]
  29. Wei Fan, Joe McCloskey, Philip S. Yu
    A general framework for accurate and fast regression by data summarization in random decision trees. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:136-146 [Conf]
  30. Wei Fan, Salvatore J. Stolfo, Junxin Zhang
    The Application of AdaBoost for Distributed, Scalable and On-Line Learning. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:362-366 [Conf]
  31. Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
    Mining concept-drifting data streams using ensemble classifiers. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:226-235 [Conf]
  32. Fei Tony Liu, Kai Ming Ting, Wei Fan
    Maximizing Tree Diversity by Building Complete-Random Decision Trees. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:605-610 [Conf]
  33. Ian Davidson, Wei Fan
    When Efficient Model Averaging Out-Performs Boosting and Bagging. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:478-486 [Conf]
  34. Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu
    Active Mining of Data Streams. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  35. Wei Fan, Janek Mathuria, Chang-Tien Lu
    Making Data Mining Models Useful to Model Non-paying Customers of Exchange Carriers. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  36. Wei Fan, Salvatore J. Stolfo
    Ensemble-based Adaptive Intrusion Detection. [Citation Graph (0, 0)][DBLP]
    SDM, 2002, pp:- [Conf]
  37. Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo
    A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits. [Citation Graph (0, 0)][DBLP]
    SDM, 2002, pp:- [Conf]
  38. Haixun Wang, Sanghyun Park, Wei Fan, Philip S. Yu
    ViST: A Dynamic Index Method for Querying XML Data by Tree Structures. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2003, pp:110-121 [Conf]
  39. Haixun Wang, Fang Chu, Wei Fan, Philip S. Yu, Jian Pei
    A Fast Algorithm for Subspace Clustering by Pattern Similarity. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2004, pp:51-0 [Conf]
  40. Wei Fan
    StreamMiner: A Classifier Ensemble-based Engine to Mine Concept-drifting Data Streams. [Citation Graph (0, 0)][DBLP]
    VLDB, 2004, pp:1257-1260 [Conf]
  41. William W. Cohen, Wei Fan
    Web-collaborative filtering: recommending music by crawling the Web. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 2000, v:33, n:1-6, pp:685-698 [Journal]
  42. William W. Cohen, Wei Fan
    Learning Page-Independent Heuristics for Extracting Data from Web Pages. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 1999, v:31, n:11-16, pp:1641-1652 [Journal]
  43. Wenke Lee, Wei Fan, Matthew Miller, Salvatore J. Stolfo, Erez Zadok
    Toward Cost-Sensitive Modeling for Intrusion Detection and Response. [Citation Graph (0, 0)][DBLP]
    Journal of Computer Security, 2002, v:10, n:1/2, pp:5-22 [Journal]
  44. 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]
    Knowl. Inf. Syst., 2004, v:6, n:5, pp:507-527 [Journal]
  45. Wenke Lee, Wei Fan
    Mining System Audit Data: Opportunities and Challenges. [Citation Graph (0, 0)][DBLP]
    SIGMOD Record, 2001, v:30, n:4, pp:35-44 [Journal]
  46. Salvatore J. Stolfo, Wenke Lee, Philip K. Chan, Wei Fan, Eleazar Eskin
    Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project. [Citation Graph (0, 0)][DBLP]
    SIGMOD Record, 2001, v:30, n:4, pp:5-14 [Journal]
  47. Wei Fan, Dit-Yan Yeung
    Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  48. Fan Xue, Wei Fan
    Multi-agent Optimization Design for Multi-resource Job Shop Scheduling Problems. [Citation Graph (0, 0)][DBLP]
    ICIC (2), 2007, pp:1193-1204 [Conf]
  49. Shu Liao, Wei Fan, Albert C. S. Chung, Dit-Yan Yeung
    Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:665-668 [Conf]
  50. Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimin Zhang, Dit-Yan Yeung
    Semi-supervised Cast Indexing for Feature-Length Films. [Citation Graph (0, 0)][DBLP]
    MMM (1), 2007, pp:625-635 [Conf]
  51. Wei Fan, Ian Davidson
    On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  52. Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
    A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  53. Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hildrum, Charu C. Aggarwal, Eric Bouillet, Wei Fan, David George, Xiaohui Gu, Gang Luo, Haixun Wang
    Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. [Citation Graph (0, 0)][DBLP]
    VLDB, 2007, pp:1185-1196 [Conf]

  54. A Fair Mobile Payment Protocol. [Citation Graph (, )][DBLP]


  55. Heterogeneous cross domain ranking in latent space. [Citation Graph (, )][DBLP]


  56. A Thunderstorm Forecast Model Based on Weighted SVM and Data Field. [Citation Graph (, )][DBLP]


  57. On Appropriate Assumptions to Mine Data Streams: Analysis and Practice. [Citation Graph (, )][DBLP]


  58. Graph-Based Iterative Hybrid Feature Selection. [Citation Graph (, )][DBLP]


  59. Mining Interesting Ratio Patterns over a Stream Sliding Window. [Citation Graph (, )][DBLP]


  60. Cumulonimbus forecasting based on rough set and artificial immune algorithm. [Citation Graph (, )][DBLP]


  61. Two Fair Payment Protocols for E-Commerce Transaction. [Citation Graph (, )][DBLP]


  62. Optimizing Supply Chains through Service-Oriented Architecture. [Citation Graph (, )][DBLP]


  63. A Research on Construction of SOAs for Enterprises in China. [Citation Graph (, )][DBLP]


  64. Knowledge transfer via multiple model local structure mapping. [Citation Graph (, )][DBLP]


  65. Direct mining of discriminative and essential frequent patterns via model-based search tree. [Citation Graph (, )][DBLP]


  66. Cross domain distribution adaptation via kernel mapping. [Citation Graph (, )][DBLP]


  67. Heterogeneous source consensus learning via decision propagation and negotiation. [Citation Graph (, )][DBLP]


  68. The next generation of transportation systems, greenhouse emissions, and data mining. [Citation Graph (, )][DBLP]


  69. On community outliers and their efficient detection in information networks. [Citation Graph (, )][DBLP]


  70. Forward Semi-supervised Feature Selection. [Citation Graph (, )][DBLP]


  71. Universal Learning over Related Distributions and Adaptive Graph Transduction. [Citation Graph (, )][DBLP]


  72. Actively Transfer Domain Knowledge. [Citation Graph (, )][DBLP]


  73. Relaxed Transfer of Different Classes via Spectral Partition. [Citation Graph (, )][DBLP]


  74. Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning. [Citation Graph (, )][DBLP]


  75. Efficient and Numerically Stable Sparse Learning. [Citation Graph (, )][DBLP]


  76. Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing. [Citation Graph (, )][DBLP]


  77. Multi-label Classification without the Multi-label Cost. [Citation Graph (, )][DBLP]


  78. Generalized and Heuristic-Free Feature Construction for Improved Accuracy. [Citation Graph (, )][DBLP]


  79. Predictive Modeling with Heterogeneous Sources. [Citation Graph (, )][DBLP]


  80. Latent space domain transfer between high dimensional overlapping distributions. [Citation Graph (, )][DBLP]


  81. Clustering over Evolving Data Streams Based on Online Recent-Biased Approximation. [Citation Graph (, )][DBLP]


  82. An Enhanced-Security Fair E-payment Protocol. [Citation Graph (, )][DBLP]


  83. svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification. [Citation Graph (, )][DBLP]


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