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Note: Links lead to the DBLP on the Web. Honghua Dai Ling Zhuang , Honghua Dai: Parameter Estimation of One-Class SVM on Imbalance Text Classification. Canadian Conference on AI 2006 : 538-549 Gang Li , Honghua Dai: Study of Ensemble Strategies in Discovering Linear Causal Models. FSKD (2) 2005 : 368-377 Ling Zhuang , Honghua Dai, Xiaoshu Hang : A Novel Field Learning Algorithm for Dual Imbalance Text Classification. FSKD (2) 2005 : 39-48 Xiaoshu Hang , Honghua Dai: Applying both positive and negative selection to supervised learning for anomaly detection. GECCO 2005 : 345-352 Yiqing Tu , Gang Li , Honghua Dai: Evolving Insight into High-Dimensional Data. ICIC (1) 2005 : 465-474 Yangdong Ye , Zundong Zhang , Honghua Dai, Limin Jia : A Study of Train Group Operation Multi-agent Model Oriented to RITS. KES (1) 2005 : 707-713 James N. K. Liu , Honghua Dai, Lina Zhou : Intelligent Financial News Digest System. KES (3) 2005 : 112-120 Xiaoshu Hang , James N. K. Liu , Yu Ren , Honghua Dai: An Incremental FP-Growth Web Content Mining and Its Application in Preference Identification. KES (3) 2005 : 121-127 Yuan Jiang , Jinjiang Ling , Gang Li , Honghua Dai, Zhi-Hua Zhou : Dependency Bagging. RSFDGrC (1) 2005 : 491-500 Honghua Dai, Ramakrishnan Srikant , Chengqi Zhang : Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings Springer 2004 Ling Zhuang , Honghua Dai: A Maximal Frequent Itemset Approach for Web Document Clustering. CIT 2004 : 970-977 Gulisong Nasierding , Yang Xiang , Honghua Dai: Towards Extended Machine Translation Model for Next Generation World Wide Web. GCC 2004 : 1017-1020 Xiaoshu Hang , Honghua Dai: Constructing Detectors in Schema Complementary Space for Anomaly Detection. GECCO (1) 2004 : 275-286 Xiaoshu Hang , Honghua Dai: An Extended Negative Selection Algorithm for Anomaly Detection. PAKDD 2004 : 245-254 Honghua Dai, Gang Li , Zhi-Hua Zhou : Ensembling MML Causal Discovery. PAKDD 2004 : 260-271 Zhi-Hua Zhou , Dan Wei , Gang Li , Honghua Dai: On the Size of Training Set and the Benefit from Ensemble. PAKDD 2004 : 298-307 Gang Li , Honghua Dai, Yiqing Tu : Identifying Markov Blankets Using Lasso Estimation. PAKDD 2004 : 308-318 Gang Li , Honghua Dai, Yiqing Tu , Tarkan Kurt : Accelerating Linear Causal Model Discovery Using Hoeffding Bounds. PRICAI 2004 : 201-210 Xiaoshu Hang , Honghua Dai: Combining Extension Matrix and Integer Programming for Optimal Concept Learning. PRICAI 2004 : 352-360 Gang Li , Honghua Dai: The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion. SDM 2004 Xiaoshu Hang , Honghua Dai: An Immune Network Approach for Web Document Clustering. Web Intelligence 2004 : 278-284 Gang Li , Honghua Dai: What Will Affect Software Reuse: A Causal Model Analysis. International Journal of Software Engineering and Knowledge Engineering 14 (3): 351-364 (2004) Honghua Dai, Geoff Webb : Guest Editors' Introduction. International Journal of Software Engineering and Knowledge Engineering 14 (4): 365-368 (2004) Honghua Dai, Wei Dai , Gang Li : Software Warehouse: Its Design, Management And Application. International Journal of Software Engineering and Knowledge Engineering 14 (4): 395-406 (2004) Xiaoshu Hang , Honghua Dai: An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm. Discovery Science 2003 : 153-165 Xiaoshu Hang , Honghua Dai, E. Lanham : Mining Sequential Causal Patterns with User-Specified Skeletons in Multi-Sequence of Event Data. HIS 2003 : 702-711 Xiaoshu Hang , Honghua Dai, Youhua Zhang : An Incremental FP-Growth Approach for Web-Content Based Dynamic Data Mining. IC-AI 2003 : 101-107 Xiaoshu Hang , Honghua Dai, Youhua Zhang : A Web content based data mining for car consumption preference in China. IRI 2003 : 235-242 Honghua Dai, Bamshad Mobasher : A Road Map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining. International Conference on Internet Computing 2003 : 58-64 Honghua Dai, Wei Dai : Software Warehouse and Its Management Strategies. SEKE 2003 : 685-690 Honghua Dai, Gang Li , Yiqing Tu : An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks. ECML 2002 : 48-59 Gang Li , Honghua Dai, Yiqing Tu : Linear Causal Model Discovery Using the MML criterion. ICDM 2002 : 274-281 Bamshad Mobasher , Honghua Dai, Tao Luo , Miki Nakagawa : Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks. ICDM 2002 : 669-672 Honghua Dai, Gang Li : An Improved Approach for the Discovery of Causal Models via MML. PAKDD 2002 : 304-315 Bamshad Mobasher , Honghua Dai, Tao Luo , Miki Nakagawa : Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization. Data Min. Knowl. Discov. 6 (1): 61-82 (2002) Honghua Dai, Xiaoshu Hang , Gang Li : Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data. ICDM 2001 : 586-588 Gang Li , Fu Tong , Honghua Dai: Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric. ICDM 2001 : 615-616 Bamshad Mobasher , Honghua Dai, Tao Luo , Miki Nakagawa : Effective personalization based on association rule discovery from web usage data. WIDM 2001 : 9-15 Bamshad Mobasher , Honghua Dai, Tao Luo , Yuqing Sun , Jiang Zhu : Integrating Web Usage and Content Mining for More Effective Personalization. EC-Web 2000 : 165-176 Honghua Dai: A Minimal Causal Model Learner. PAKDD 1999 : 400-408 Honghua Dai: Extended Predicate Logic and Its Application in Designing MKL Language. Informatica (Slovenia) 23 (2): (1999) Honghua Dai: Trend Directed Learning: A Case Study. PAKDD 1998 : 61-71 Bavy Li , James Liu , Honghua Dai: Forecasting from Low Quality Data with Applications in Weather Forecasting. Informatica (Slovenia) 22 (3): (1998) Honghua Dai, Kevin B. Korb , Chris S. Wallace , Xindong Wu : A Study of Causal Discovery With Weak Links and Small Samples. IJCAI 1997 : 1304-1309 Chris S. Wallace , Kevin B. Korb , Honghua Dai: Causal Discovery via MML. ICML 1996 : 516-524 1 [ 16 ] [ 22 ] 2 [ 10 ] [ 18 ] [ 19 ] [ 20 ] [ 21 ] [ 25 ] [ 27 ] [ 32 ] [ 33 ] [ 38 ] [ 42 ] [ 43 ] 3 [ 40 ] 4 [ 37 ] 5 [ 1 ] [ 2 ] 6 [ 28 ] 7 [ 20 ] 8 [ 3 ] 9 [ 9 ] [ 10 ] [ 12 ] [ 14 ] [ 15 ] [ 22 ] [ 24 ] [ 26 ] [ 28 ] [ 29 ] [ 30 ] [ 31 ] [ 37 ] [ 41 ] [ 44 ] 10 [ 37 ] 11 [ 3 ] 12 [ 38 ] [ 39 ] 13 [ 7 ] [ 8 ] [ 11 ] [ 13 ] 14 [ 7 ] [ 8 ] [ 11 ] [ 13 ] [ 17 ] 15 [ 8 ] [ 11 ] [ 13 ] 16 [ 34 ] 17 [ 38 ] 18 [ 36 ] 19 [ 7 ] 20 [ 9 ] 21 [ 14 ] [ 15 ] [ 28 ] [ 29 ] [ 41 ] 22 [ 1 ] [ 2 ] 23 [ 23 ] 24 [ 30 ] 25 [ 2 ] 26 [ 34 ] 27 [ 40 ] 28 [ 36 ] 29 [ 18 ] [ 19 ] 30 [ 40 ] 31 [ 39 ] 32 [ 30 ] [ 31 ] [ 37 ] 33 [ 7 ] 34 [ 35 ] [ 43 ] [ 45 ] ![]() ©2006 Association for Computing Machinery |