H. Dai

发表

Parameter optimization of Kernel-based one-class classifier on imbalance text learning

L. Zhuang, H. Dai, 2006 .

Applying both positive and negative selection to supervised learning for anomaly detection

H. Dai, X. Hang, 2005, GECCO '05.

Inexact Field Learning Approach for Data Mining

Honghua Dai, H. Dai, 2009, Encyclopedia of Data Warehousing and Mining.

Discovering Linear Causal Model from Incomplete Data: A Multiple Imputation Method

H. Dai, Yiqing Tu, 2003 .

Advances in Knowledge Discovery and Data Mining: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings (Lecture Notes ... / Lecture Notes in Artificial Intelligence)

Chengqi Zhang, Ramakrishnan Srikant, Honghua Dai, 2004 .

Recent advances of statistics in computational intelligence (RASCI)

James Nga-Kwok Liu, Honghua Dai, Muhammed J. A. Patwary, 2018, Int. J. Mach. Learn. Cybern..

Guest Editors' Introduction

Geoffrey I. Webb, Honghua Dai, H. Dai, 2004, Int. J. Softw. Eng. Knowl. Eng..

Information-decomposition-model-based missing value estimation for not missing at random dataset

H. Dai, Shigang Liu, Min Gan, 2015, International Journal of Machine Learning and Cybernetics.

Ensembling MML Causal Discovery

Zhi-Hua Zhou, Gang Li, Honghua Dai, 2004, PAKDD.

Ensemble parameter estimation for graphical models

Gang Li, Honghua Dai, Yiqing Tu, 2003 .

Causal Discovery via MML

Kevin B. Korb, C. S. Wallace, Honghua Dai, 1996, ICML.

An analytical study on causal induction

Honghua Dai, Sarah Kenbl-Johnson, H. Dai, 2013, 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Reliable Knowledge Discovery with a Minimal Causal Model Inducer

Honghua Dai, Min Gan, Sarah Keble-Johnston, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Integrating Semantic Knowledge with Web Usage Mining for Personalization

Bamshad Mobasher, Honghua Dai, H. Dai, 2009 .

Acquisition of Domain Ontology from Relational Schemes Based on Reverse Engineering

Hongwei Wang, Honghua Dai, James N.K. Liu, 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

A Road Map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining

Bamshad Mobasher, Honghua Dai, H. Dai, 2003, International Conference on Internet Computing.

Using sequential and non-sequential patterns in predictive Web usage mining tasks

Tao Luo, Bamshad Mobasher, Honghua Dai, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Improving Reliability of Unbalanced Text Mining by Reducing Performance Bias

Min Gan, Ling Zhuang, Honghua Dai, 2012 .

Reducing performance Bias for Unbalanced Text Mining

Ling Zhuang, Honghua Dai, L. Zhuang, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning

Ling Zhuang, Honghua Dai, L. Zhuang, 2006, J. Comput..

A Study on Reliability in Graph Discovery

Honghua Dai, H. Dai, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Inexact discovery of knowledge with uncertainty

H. Dai, H. Dai, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

A Study of Causal Discovery With Weak Links and Small Samples

Xindong Wu, Kevin B. Korb, C. S. Wallace, 1997, IJCAI.

The discovery of causal models with small samples

Kevin B. Korb, C. S. Wallace, Honghua Dai, 1996, 1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96.

A Classifier Graph Based Recurring Concept Detection and Prediction Approach

Saeid Nahavandi, Yang Bai, Zhihai Wang, 2018, Comput. Intell. Neurosci..

Robust-Diagnostic Regression: A Prelude for Inducing Reliable Knowledge from Regression

Abdul Nurunnabi, Honghua Dai, H. Dai, 2012 .

Subsequence Frequency Measurement and its Impact on Reliability of Knowledge Discovery in Single Sequences

Honghua Dai, Min Gan, H. Dai, 2012 .

A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences

Min Gan, Honghua Dai, H. Dai, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Dependency Bagging

Zhi-Hua Zhou, Yuan Jiang, Gang Li, 2005, RSFDGrC.

An Improved Approach for the Discovery of Causal Models via MML

Gang Li, Honghua Dai, Gang Li, 2002, PAKDD.

Reliable Graph Discovery

Honghua Dai, H. Dai, 2012 .

An examination on the performance of MML causal induction

Gang Li, Ling Zhuang, Honghua Dai, 2003 .

Effective personalization based on association rule discovery from web usage data

Tao Luo, Bamshad Mobasher, Miki Nakagawa, 2001, WIDM '01.

A maximal frequent itemset approach for Web document clustering

Ling Zhuang, Honghua Dai, L. Zhuang, 2004, The Fourth International Conference onComputer and Information Technology, 2004. CIT '04..

Study of Ensemble Strategies in Discovering Linear Causal Models

Gang Li, Honghua Dai, Gang Li, 2005, FSKD.

Integrating Web Usage and Content Mining for More Effective Personalization

Tao Luo, Jiang Zhu, Bamshad Mobasher, 2000, EC-Web.

KDD CUP-2005 report: facing a great challenge

Ying Li, Zijian Zheng, Honghua Dai, 2005, SKDD.

Constructing accuracy and diversity ensemble using Pareto-based multi-objective learning for evolving data streams

Honghua Dai, Yange Sun, H. Dai, 2020, Neural Computing and Applications.

Two-Stage Cost-Sensitive Learning for Data Streams With Concept Drift and Class Imbalance

Yange Sun, Yi Sun, Honghua Dai, 2020, IEEE Access.

Discovery of Aggregate Usage Profiles for Web Personalization

Bamshad Mobasher, Yuqing Sun, Honghua Dai, 2000 .

Quantitatively Evaluating the Effects of Price Promotions Using Data Mining

Min Gan, Honghua Dai, H. Dai, 2011, ISD.

Information-decomposition-model-based missing value estimation for not missing at random dataset

Min Gan, Shigang Liu, Honghua Dai, 2015, International Journal of Machine Learning and Cybernetics.

Examination of Reliability of Missing Value Recovery in Data Mining

Shigang Liu, Honghua Dai, H. Dai, 2014, 2014 IEEE International Conference on Data Mining Workshop.

An efficient one-pass method for discovering bases of recently frequent episodes over online data streams

Honghua Dai, Min Gan, H. Dai, 2012 .

Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization

Tao Luo, Bamshad Mobasher, Honghua Dai, 2004, Data Mining and Knowledge Discovery.

Software Warehouse: Its Design, Management And Application

Wei Dai, Gang Li, Honghua Dai, 2004, Int. J. Softw. Eng. Knowl. Eng..

Identifying Markov Blankets Using Lasso Estimation

Gang Li, Honghua Dai, Yiqing Tu, 2004, PAKDD.

A Minimal Causal Model Learner

Honghua Dai, H. Dai, 1999, PAKDD.

Study of Ensemble Strategies in Discovering Linear Causal Models

Gang Li, H. Dai, 2005, FSKD.

Accelerating Linear Causal Model Discovery Using Hoeffding Bounds

Gang Li, Honghua Dai, Yiqing Tu, 2004, PRICAI.

Integrating Web Usage and Content Mining for More Effective Personalization

H. Dai, B. Mobasher, Jiang Zhu, 2000, EC-Web.

Linear Causal Model discovery using the MML criterion

Gang Li, Honghua Dai, Yiqing Tu, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Detecting online commercial intention (OCI)

Ying Li, Ji-Rong Wen, Lee Wang, 2006, WWW '06.