[-] Name Disambiguation results for 8 "Wei Fan": [Show all "Wei Fan"]

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1 h-index:16 #papers:53
2 h-index:3 #papers:7
3 h-index:1 #papers:5
School of Economics and Management, Beijing University of Posts ...
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Hong Kong University of Science and Technology
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6 h-index:1 #papers:2
College of Computer Science and Technology, Civil Aviation Unive ...
7 h-index:2 #papers:2
8 h-index:0 #papers:1
Department of Systems and Social Informatics, Graduate School of ...
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Wei Fan
(ALIAS: Wei-Fan) [FOAF]  [Follow]

Position: Research Staff Member
Address: 19 Skyline Drive IBM T.J.Watson Research Hawthorne, NY 10532
Phone: 914-784-7027
Email:
Homepage: http://www.cs.columbia.edu/~wfan
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Statistics: H-index: 16 (See all experts' h-index.)
total citation number: 1679
highest-cited paper: Mining concept-drifting data streams using ensemble classifiers (2003) at KDD (Cited By 419)

Research Interest:

Data Streams, Sample Selection, Classifying Data Streams, Concept-drifting Data Streams, Cost-Sensitive Data Mining

Show Temporal Interests (Do you want to see the change of his/her research interests?)


National Science Foundation - CN

[4] 樊玮, 基于粗糙集与关联规则的小尺度民用机场气象数值预报模式研究 (60672173), 2007-01-01 - 2007-12-01
[3] 樊玮, 基于多Agent协作及信息融合的飞机地面作业运行控制优化算法研究 (60472123), 2005-01-01 - 2005-12-01
[2] 樊卫, 融合自杀基因系统联合碘-125治疗鼻咽癌的实验研究 (30371620), 2004-01-01 - 2006-12-01
[1] 范玮, 基于可调半导体激光吸收术的燃烧室时诊断技术的研究 (50106012), 2002-01-01 - 2004-12-01

Publications: [Edit disambiguation Result]

2009(7)
[53]Bo WangJie TangWei FanSongcan ChenZi YangYanzhu LiuHeterogeneous cross domain ranking in latent space.  CIKM'2009. pp.987~996   [Bibtex]
[52]ErHeng ZhongWei FanJing PengKun ZhangJiangtao RenDeepak S. TuragaOlivier VerscheureCross domain distribution adaptation via kernel mapping.  KDD'2009. pp.1027~1036    Cited By 1[Bibtex]
[51]Jing GaoWei FanYizhou SunJiawei HanHeterogeneous source consensus learning via decision propagation and negotiation.  KDD'2009. pp.339~348    Cited By 5[Bibtex] [PDF]
[50]ErHeng ZhongWei FanJing PengOlivier VerscheureJiangtao RenUniversal Learning over Related Distributions and Adaptive Graph Transduction.  ECML/PKDD (2)'2009. pp.678~693   [Bibtex]
[49]Xiaoxiao ShiWei FanQiang YangJiangtao RenRelaxed Transfer of Different Classes via Spectral Partition.  ECML/PKDD (2)'2009. pp.366~381    Cited By 1[Bibtex]
[48]Sihong XieWei FanJing PengOlivier VerscheureJiangtao RenLatent space domain transfer between high dimensional overlapping distributions.  WWW'2009. pp.91~100    Cited By 2[Bibtex]
[47]Wei FanKun ZhangBagging.  Theory of Computing Systems, 2009: 206~210   [Bibtex]
2008(8)
[46]ErHeng ZhongSihong XieWei FanJiangtao RenJing PengKun ZhangGraph-Based Iterative Hybrid Feature Selection.  ICDM'2008. pp.1133~1138   [Bibtex]
[45]Jing GaoWei FanJing JiangJiawei HanKnowledge transfer via multiple model local structure mapping.  KDD'2008. pp.283~291    Cited By 15[Bibtex] [PDF]
[44]Wei FanKun ZhangHong ChengJing GaoXifeng YanJiawei HanPhilip S. YuOlivier VerscheureDirect mining of discriminative and essential frequent patterns via model-based search tree.  KDD'2008. pp.230~238    Cited By 18[Bibtex] [PDF]
[43]Jiangtao RenZhengyuan QiuWei FanHong ChengPhilip S. YuForward Semi-supervised Feature Selection.  PAKDD'2008. pp.970~976    Cited By 5[Bibtex]
[42]Xiaoxiao ShiWei FanJiangtao RenActively Transfer Domain Knowledge.  ECML/PKDD (2)'2008. pp.342~357    Cited By 9[Bibtex]
[41]Jiangtao RenXiaoxiao ShiWei FanPhilip S. YuType-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing.  SDM'2008. pp.565~576    Cited By 4[Bibtex]
[40]Jing GaoBolin DingWei FanJiawei HanPhilip S. YuClassifying Data Streams with Skewed Class Distributions and Concept Drifts. IEEE Internet Computing, 2008: 37~49    Cited By 2[Bibtex]
[39]Kun ZhangWei FanForecasting skewed biased stochastic ozone days: analyses, solutions and beyond. Knowl. Inf. Syst., 2008: 299~326    Cited By 6[Bibtex]
2007(4)
[38]Jing GaoWei FanJiawei HanOn Appropriate Assumptions to Mine Data Streams: Analysis and Practice.  ICDM'2007. pp.143~152    Cited By 21[Bibtex]
[37]Wei FanIan DavidsonOn Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples.  SDM'2007.     Cited By 11[Bibtex]
[36]Jing GaoWei FanJiawei HanPhilip S. YuA General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions.  SDM'2007.     Cited By 24[Bibtex]
[35]Kun-Lung WuPhilip S. YuBugra GedikKirsten HildrumCharu C. AggarwalEric BouilletWei FanDavid GeorgeXiaohui GuGang LuoHaixun WangChallenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S.  VLDB'2007. pp.1185~1196   [Bibtex]
2006(5)
[34]Kun ZhangWei FanXiaojing YuanIan DavidsonXiangshang LiForecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions.  ICDM'2006. pp.753~764   [Bibtex] [PDF]
[33]Kun ZhangWei FanBill P. BucklesXiaojing YuanZujia XuDiscovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation.  ICDM'2006. pp.741~752    Cited By 3[Bibtex] [PDF]
[32]Wei FanIan DavidsonReverse testing: an efficient framework to select amongst classifiers under sample selection bias.  KDD'2006. pp.147~156    Cited By 11[Bibtex]
[31]Wei FanJoe McCloskeyPhilip S. YuA general framework for accurate and fast regression by data summarization in random decision trees.  KDD'2006. pp.136~146    Cited By 3[Bibtex] [PDF]
[30]Ian DavidsonWei FanWhen Efficient Model Averaging Out-Performs Boosting and Bagging.  PKDD'2006. pp.478~486    Cited By 5[Bibtex] [PDF]
2005(2)
[29]Wei FanIan DavidsonBianca ZadroznyPhilip S. YuAn Improved Categorization of Classifier's Sensitivity on Sample Selection Bias.  ICDM'2005. pp.605~608   [Bibtex] [PDF]
[28]Wei FanEd GreengrassJoe McCloskeyPhilip S. YuKevin DrummeyEffective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches.  ICDM'2005. pp.154~161    Cited By 10[Bibtex] [PDF]
2004(7)
[27]Wei FanPhilip S. YuHaixun WangMining Extremely Skewed Trading Anomalies.  EDBT'2004. pp.801~810    Cited By 11[Bibtex]
[26]Wei FanYi-an HuangPhilip S. YuDecision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams.  ICDM'2004. pp.379~382    Cited By 11[Bibtex] [PDF]
[25]Wei FanSystematic data selection to mine concept-drifting data streams.  KDD'2004. pp.128~137    Cited By 103[Bibtex] [PDF]
[24]Wei FanYi-an HuangHaixun WangPhilip S. YuActive Mining of Data Streams.  SDM'2004.     Cited By 34[Bibtex]
[23]Haixun WangFang ChuWei FanPhilip S. YuJian PeiA Fast Algorithm for Subspace Clustering by Pattern Similarity.  SSDBM'2004. pp.51~51    Cited By 19[Bibtex]
[22]Wei FanStreamMiner: A Classifier Ensemble-based Engine to Mine Concept-drifting Data Streams.  VLDB'2004. pp.1257~1260    Cited By 40[Bibtex]
[21]Wei FanMatthew MillerSalvatore J. StolfoWenke LeePhilip K. ChanUsing artificial anomalies to detect unknown and known network intrusions. Knowl. Inf. Syst., 2004: 507~527    Cited By 101[Bibtex] [PDF]
2003(6)
[20]Yi-an HuangWei FanWenke LeePhilip S. YuCross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies.  ICDCS'2003. pp.478~478    Cited By 125[Bibtex] [PDF]
[19]Haixun WangChang-Shing PerngWei FanSanghyun ParkPhilip S. YuIndexing Weighted-Sequences in Large Databases.  ICDE'2003. pp.63~74    Cited By 35[Bibtex] [PDF]
[18]Wei FanHaixun WangPhilip S. YuSheng MaIs random model better? On its accuracy and efficiency.  ICDM'2003. pp.51~58    Cited By 34[Bibtex] [PDF]
[17]Wei FanHaixun WangPhilip S. YuShaw-hwa LoInductive Learning in Less Than One Sequential Data Scan.  IJCAI'2003. pp.595~600    Cited By 2[Bibtex] [PDF]
[16]Haixun WangWei FanPhilip S. YuJiawei HanMining concept-drifting data streams using ensemble classifiers.  KDD'2003. pp.226~235    Cited By 419[Bibtex] [PDF]
[15]Haixun WangSanghyun ParkWei FanPhilip S. YuViST: A Dynamic Index Method for Querying XML Data by Tree Structures.  SIGMOD Conference'2003. pp.110~121    Cited By 252[Bibtex] [PDF]
2002(8)
[14]Wei FanFang ChuHaixun WangPhilip S. YuPruning and Dynamic Scheduling of Cost-Sensitive Ensembles.  AAAI/IAAI'2002. pp.146~151    Cited By 18[Bibtex] [PDF]
[13]Haixun WangChang-Shing PerngWei FanPhilip S. YuAn Index Structure for Pattern Similarity Searching in DNA Microarray Dat.  CSB'2002. pp.256~267   [Bibtex]
[12]Wei FanHaixun WangPhilip S. YuSalvatore J. StolfoA Fully Distributed Framework for Cost-Sensitive Data Mining.  ICDCS'2002. pp.445~446    Cited By 5[Bibtex] [PDF]
[11]Naoki AbeEdwin P. D. PednaultHaixun WangBianca ZadroznyWei FanChidanand ApteEmpirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.  ICDM'2002. pp.3~10    Cited By 6[Bibtex] [PDF]
[10]Wei FanHaixun WangPhilip S. YuShaw-hwa LoSalvatore J. StolfoProgressive Modeling.  ICDM'2002. pp.163~170    Cited By 3[Bibtex] [PDF]
[9]Wei FanHaixun WangPhilip S. YuSalvatore J. StolfoA Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits.  SDM'2002.     Cited By 11[Bibtex]
[8]Wei FanSalvatore J. StolfoEnsemble-based Adaptive Intrusion Detection.  SDM'2002.     Cited By 10[Bibtex]
[7]Wenke LeeWei FanMatthew MillerSalvatore J. StolfoErez ZadokToward Cost-Sensitive Modeling for Intrusion Detection and Response. Journal of Computer Security, 2002: 5~22   [Bibtex] [PDF]
2001(3)
[6]Wei FanMatthew MillerSalvatore J. StolfoWenke LeePhilip K. ChanUsing Artificial Anomalies to Detect Unknown and Known Network Intrusions.  ICDM'2001. pp.123~130    Cited By 101[Bibtex] [PDF]
[5]Salvatore J. StolfoWenke LeePhilip K. ChanWei FanEleazar EskinData Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project. SIGMOD Record, 2001: 5~14    Cited By 40[Bibtex]
[4]Wenke LeeWei FanMining System Audit Data: Opportunities and Challenges. SIGMOD Record, 2001: 35~44    Cited By 10[Bibtex]
2000(1)
[3]Wei FanWenke LeeSalvatore J. StolfoMatthew MillerA Multiple Model Cost-Sensitive Approach for Intrusion Detection.  ECML'2000. pp.142~153    Cited By 41[Bibtex]
1999(2)
[2]Wei FanSalvatore J. StolfoJunxin ZhangPhilip K. ChanAdaCost: Misclassification Cost-Sensitive Boosting.  ICML'1999. pp.97~105    Cited By 215[Bibtex] [PDF]
[1]Wei FanSalvatore J. StolfoJunxin ZhangThe Application of AdaBoost for Distributed, Scalable and On-Line Learning.  KDD'1999. pp.362~366    Cited By 58[Bibtex] [PDF]