| 2008 |
|---|
| 56 | EE | Honghua Dai:
A Case Study on Classification Reliability.
ICDM Workshops 2008: 69-73 |
| 2006 |
|---|
| 55 | EE | 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 |
| 54 | EE | Yiqing Tu,
Gang Li,
Honghua Dai:
Integrating Local One-Class Classifiers for Image Retrieval.
ADMA 2006: 213-222 |
| 53 | EE | 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 |
| 52 | EE | Ling Zhuang,
Honghua Dai:
Parameter Estimation of One-Class SVM on Imbalance Text Classification.
Canadian Conference on AI 2006: 538-549 |
| 51 | EE | Ling Zhuang,
Honghua Dai:
Reducing performance Bias for Unbalanced Text Mining.
ICDM Workshops 2006: 770-774 |
| 50 | EE | Honghua Dai:
A Study on Reliability in Graph Discovery.
ICDM Workshops 2006: 775-779 |
| 49 | EE | Ling Zhuang,
Honghua Dai:
Parameter Optimization of Kernel-Based One-Class Classifier on Imbalance Text Learning.
PRICAI 2006: 434-443 |
| 48 | EE | Xin Geng,
Zhi-Hua Zhou,
Honghua Dai:
Uncontrolled Face Recognition by Individual Stable Neural Network.
PRICAI 2006: 553-562 |
| 47 | EE | Ling Zhuang,
Honghua Dai:
Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning.
JCP 1(7): 32-40 (2006) |
| 2005 |
|---|
| 46 | EE | Gang Li,
Honghua Dai:
Study of Ensemble Strategies in Discovering Linear Causal Models.
FSKD (2) 2005: 368-377 |
| 45 | EE | Ling Zhuang,
Honghua Dai,
Xiaoshu Hang:
A Novel Field Learning Algorithm for Dual Imbalance Text Classification.
FSKD (2) 2005: 39-48 |
| 44 | EE | Xiaoshu Hang,
Honghua Dai:
Applying both positive and negative selection to supervised learning for anomaly detection.
GECCO 2005: 345-352 |
| 43 | EE | Yiqing Tu,
Gang Li,
Honghua Dai:
Evolving Insight into High-Dimensional Data.
ICIC (1) 2005: 465-474 |
| 42 | EE | 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 | EE | James N. K. Liu,
Honghua Dai,
Lina Zhou:
Intelligent Financial News Digest System.
KES (3) 2005: 112-120 |
| 40 | EE | 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 | EE | 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 | EE | Ling Zhuang,
Honghua Dai:
A Maximal Frequent Itemset Approach for Web Document Clustering.
CIT 2004: 970-977 |
| 36 | EE | Gulisong Nasierding,
Yang Xiang,
Honghua Dai:
Towards Extended Machine Translation Model for Next Generation World Wide Web.
GCC 2004: 1017-1020 |
| 35 | EE | Xiaoshu Hang,
Honghua Dai:
Constructing Detectors in Schema Complementary Space for Anomaly Detection.
GECCO (1) 2004: 275-286 |
| 34 | EE | Xiaoshu Hang,
Honghua Dai:
An Extended Negative Selection Algorithm for Anomaly Detection.
PAKDD 2004: 245-254 |
| 33 | EE | Honghua Dai,
Gang Li,
Zhi-Hua Zhou:
Ensembling MML Causal Discovery.
PAKDD 2004: 260-271 |
| 32 | EE | 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 | EE | Gang Li,
Honghua Dai,
Yiqing Tu:
Identifying Markov Blankets Using Lasso Estimation.
PAKDD 2004: 308-318 |
| 30 | EE | Gang Li,
Honghua Dai,
Yiqing Tu,
Tarkan Kurt:
Accelerating Linear Causal Model Discovery Using Hoeffding Bounds.
PRICAI 2004: 201-210 |
| 29 | EE | Xiaoshu Hang,
Honghua Dai:
Combining Extension Matrix and Integer Programming for Optimal Concept Learning.
PRICAI 2004: 352-360 |
| 28 | EE | Gang Li,
Honghua Dai:
The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion.
SDM 2004 |
| 27 | EE | Xiaoshu Hang,
Honghua Dai:
An Immune Network Approach for Web Document Clustering.
Web Intelligence 2004: 278-284 |
| 26 | EE | 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 | EE | Honghua Dai,
Geoffrey I. Webb:
Guest Editors' Introduction.
International Journal of Software Engineering and Knowledge Engineering 14(4): 365-368 (2004) |
| 24 | EE | 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 | EE | 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 | EE | Honghua Dai,
Gang Li,
Yiqing Tu:
An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks.
ECML 2002: 48-59 |
| 16 | EE | Gang Li,
Honghua Dai,
Yiqing Tu:
Linear Causal Model Discovery Using the MML criterion.
ICDM 2002: 274-281 |
| 15 | EE | 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 | EE | 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 | EE | 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 | EE | Gang Li,
Fu Tong,
Honghua Dai:
Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric.
ICDM 2001: 615-616 |
| 10 | EE | 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 | EE | 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 | EE | 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 | EE | Honghua Dai,
Kevin B. Korb,
Chris S. Wallace:
The discovery of causal models with small samples.
ANZIIS 1996: 27-30 |
| 2 | EE | 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 |
