Honghua Dai

	2011
60		Min Gan, Honghua Dai: Fast Mining of Non-derivable Episode Rules in Complex Sequences. MDAI 2011: 67-78
	2010
59		Min Gan, Honghua Dai: A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences. ICDM Workshops 2010: 859-866
	2009
58		Honghua Dai: Inexact Field Learning Approach for Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 1019-1022
	2008
57		Honghua Dai: A Case Study on Classification Reliability. ICDM Workshops 2008: 69-73
	2006
56		Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, Honghua Dai: Learning from facial aging patterns for automatic age estimation. ACM Multimedia 2006: 307-316
55		Yiqing Tu, Gang Li, Honghua Dai: Integrating Local One-Class Classifiers for Image Retrieval. ADMA 2006: 213-222
54		Xin Geng, Gang Li, Yangdong Ye, Yiqing Tu, Honghua Dai: Abnormal Behavior Detection for Early Warning of Terrorist Attack. Australian Conference on Artificial Intelligence 2006: 1002-1009
53		Ling Zhuang, Honghua Dai: Parameter Estimation of One-Class SVM on Imbalance Text Classification. Canadian Conference on AI 2006: 538-549
52		Ling Zhuang, Honghua Dai: Reducing performance Bias for Unbalanced Text Mining. ICDM Workshops 2006: 770-774
51		Honghua Dai: A Study on Reliability in Graph Discovery. ICDM Workshops 2006: 775-779
50		Ling Zhuang, Honghua Dai: Parameter Optimization of Kernel-Based One-Class Classifier on Imbalance Text Learning. PRICAI 2006: 434-443
49		Xin Geng, Zhi-Hua Zhou, Honghua Dai: Uncontrolled Face Recognition by Individual Stable Neural Network. PRICAI 2006: 553-562
48		Ling Zhuang, Honghua Dai: Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning. JCP 1(7): 32-40 (2006)
	2005
47		Gang Li, Honghua Dai: Study of Ensemble Strategies in Discovering Linear Causal Models. FSKD (2) 2005: 368-377
46		Ling Zhuang, Honghua Dai, Xiaoshu Hang: A Novel Field Learning Algorithm for Dual Imbalance Text Classification. FSKD (2) 2005: 39-48
45		Xiaoshu Hang, Honghua Dai: Applying both positive and negative selection to supervised learning for anomaly detection. GECCO 2005: 345-352
44		Yiqing Tu, Gang Li, Honghua Dai: Evolving Insight into High-Dimensional Data. ICIC (1) 2005: 465-474
43		Yangdong Ye, Zundong Zhang, Limin Jia, Honghua Dai: Research on train group operation model in RITS. ISADS 2005: 242-249
42		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
41		James N. K. Liu, Honghua Dai, Lina Zhou: Intelligent Financial News Digest System. KES (3) 2005: 112-120
40		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
39		Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou: Dependency Bagging. RSFDGrC (1) 2005: 491-500
	2004
38		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
37		Ling Zhuang, Honghua Dai: A Maximal Frequent Itemset Approach for Web Document Clustering. CIT 2004: 970-977
36		Gulisong Nasierding, Yang Xiang, Honghua Dai: Towards Extended Machine Translation Model for Next Generation World Wide Web. GCC 2004: 1017-1020
35		Xiaoshu Hang, Honghua Dai: Constructing Detectors in Schema Complementary Space for Anomaly Detection. GECCO (1) 2004: 275-286
34		Xiaoshu Hang, Honghua Dai: An Extended Negative Selection Algorithm for Anomaly Detection. PAKDD 2004: 245-254
33		Honghua Dai, Gang Li, Zhi-Hua Zhou: Ensembling MML Causal Discovery. PAKDD 2004: 260-271
32		Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai: On the Size of Training Set and the Benefit from Ensemble. PAKDD 2004: 298-307
31		Gang Li, Honghua Dai, Yiqing Tu: Identifying Markov Blankets Using Lasso Estimation. PAKDD 2004: 308-318
30		Gang Li, Honghua Dai, Yiqing Tu, Tarkan Kurt: Accelerating Linear Causal Model Discovery Using Hoeffding Bounds. PRICAI 2004: 201-210
29		Xiaoshu Hang, Honghua Dai: Combining Extension Matrix and Integer Programming for Optimal Concept Learning. PRICAI 2004: 352-360
28		Gang Li, Honghua Dai: The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion. SDM 2004
27		Xiaoshu Hang, Honghua Dai: An Immune Network Approach for Web Document Clustering. Web Intelligence 2004: 278-284
26		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)
25		Honghua Dai, Geoffrey I. Webb: Guest Editors' Introduction. International Journal of Software Engineering and Knowledge Engineering 14(4): 365-368 (2004)
24		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)
	2003
23		Xiaoshu Hang, Honghua Dai: An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm. Discovery Science 2003: 153-165
22		Xiaoshu Hang, Honghua Dai, E. Lanham: Mining Sequential Causal Patterns with User-Specified Skeletons in Multi-Sequence of Event Data. HIS 2003: 702-711
21		Xiaoshu Hang, Honghua Dai, Youhua Zhang: An Incremental FP-Growth Approach for Web-Content Based Dynamic Data Mining. IC-AI 2003: 101-107
20		Xiaoshu Hang, Honghua Dai, Youhua Zhang: A Web content based data mining for car consumption preference in China. IRI 2003: 235-242
19		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
18		Honghua Dai, Wei Dai: Software Warehouse and Its Management Strategies. SEKE 2003: 685-690
	2002
17		Honghua Dai, Gang Li, Yiqing Tu: An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks. ECML 2002: 48-59
16		Gang Li, Honghua Dai, Yiqing Tu: Linear Causal Model Discovery Using the MML criterion. ICDM 2002: 274-281
15		Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa: Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks. ICDM 2002: 669-672
14		Honghua Dai, Gang Li: An Improved Approach for the Discovery of Causal Models via MML. PAKDD 2002: 304-315
13		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)
	2001
12		Honghua Dai, Xiaoshu Hang, Gang Li: Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data. ICDM 2001: 586-588
11		Gang Li, Fu Tong, Honghua Dai: Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric. ICDM 2001: 615-616
10		Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa: Effective personalization based on association rule discovery from web usage data. WIDM 2001: 9-15
	2000
9		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
	1999
8		Honghua Dai: A Minimal Causal Model Learner. PAKDD 1999: 400-408
7		Honghua Dai: Extended Predicate Logic and Its Application in Designing MKL Language. Informatica (Slovenia) 23(2): (1999)
	1998
6		Honghua Dai: Trend Directed Learning: A Case Study. PAKDD 1998: 61-71
5		Bavy Li, James Liu, Honghua Dai: Forecasting from Low Quality Data with Applications in Weather Forecasting. Informatica (Slovenia) 22(3): (1998)
	1997
4		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
	1996
3		Honghua Dai, Kevin B. Korb, Chris S. Wallace: The discovery of causal models with small samples. ANZIIS 1996: 27-30
2		Honghua Dai, James Liu, Victor Ciesielski: An analysis of criteria for the evaluation of learning performance. ANZIIS 1996: 84-87
1		Chris S. Wallace, Kevin B. Korb, Honghua Dai: Causal Discovery via MML. ICML 1996: 516-524

Coauthor Index

1	Victor Ciesielski	[2]
2	Wei Dai	[18] [24]
3	Min Gan	[59] [60]
4	Xin Geng	[49] [54] [56]
5	Xiaoshu Hang	[12] [20] [21] [22] [23] [27] [29] [34] [35] [40] [45] [46]
6	Limin Jia	[42] [43]
7	Yuan Jiang	[39]
8	Kevin B. Korb	[1] [3] [4]
9	Tarkan Kurt	[30]
10	E. Lanham	[22]
11	Bavy Li	[5]
12	Gang Li	[11] [12] [14] [16] [17] [24] [26] [28] [30] [31] [32] [33] [39] [44] [47] [54] [55] [56]
13	Jinjiang Ling	[39]
14	James Liu	[2] [5]
15	James Nga-Kwok Liu (James N. K. Liu)	[40] [41]
16	Tao Luo	[9] [10] [13] [15]
17	Bamshad Mobasher	[9] [10] [13] [15] [19]
18	Miki Nakagawa	[10] [13] [15]
19	Gulisong Nasierding	[36]
20	Yu Ren	[40]
21	Ramakrishnan Srikant	[38]
22	Yuqing Sun	[9]
23	Fu Tong	[11]
24	Yiqing Tu	[16] [17] [30] [31] [44] [54] [55]
25	Chris S. Wallace	[1] [3] [4]
26	Geoffrey I. Webb	[25]
27	Dan Wei	[32]
28	Xindong Wu	[4]
29	Yang Xiang	[36]
30	Yangdong Ye	[42] [43] [54]
31	Chengqi Zhang	[38]
32	Youhua Zhang	[20] [21]
33	Yu Zhang	[56]
34	Zundong Zhang	[42] [43]
35	Lina Zhou	[41]
36	Zhi-Hua Zhou	[32] [33] [39] [49] [56]
37	Jiang Zhu	[9]
38	Ling Zhuang	[37] [46] [48] [50] [52] [53]

Colors in the list of coauthors

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