Honghua Dai

According to our database1, Honghua Dai authored at least 71 papers between 1996 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Recent advances of statistics in computational intelligence (RASCI).
Int. J. Machine Learning & Cybernetics, 2018

Information-decomposition-model-based missing value estimation for not missing at random dataset.
Int. J. Machine Learning & Cybernetics, 2018

Event-triggered neuroadaptive control for postcapture spacecraft with ultralow-frequency actuator updates.
Neurocomputing, 2018

A Classifier Graph Based Recurring Concept Detection and Prediction Approach.
Comp. Int. and Neurosc., 2018

2014
A time domain collocation method for studying the aeroelasticity of a two dimensional airfoil with a structural nonlinearity.
J. Comput. Physics, 2014

Detecting and monitoring abrupt emergences and submergences of episodes over data streams.
Inf. Syst., 2014

Examination of Reliability of Missing Value Recovery in Data Mining.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
A hybrid approach to fuzzy risk analysis in stock market.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

An analytical study on causal induction.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012
Reliable Knowledge Discovery with a Minimal Causal Model Inducer.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Fast Mining of Non-derivable Episode Rules in Complex Sequences.
Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Quantitatively Evaluating the Effects of Price Promotions Using Data Mining.
Proceedings of the Information Systems Development, Reflections, Challenges and New Directions [Proceedings of ISD 2011, Heriot-Watt University, Edinburgh, Scotland, UK, August 24, 2011

2010
A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences.
Proceedings of the ICDMW 2010, 2010

2009
Inexact Field Learning Approach for Data Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Efficient Mining of Top-k Breaker Emerging Subgraph Patterns from Graph Datasets.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
A Case Study on Classification Reliability.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2006
Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning.
JCP, 2006

Parameter Optimization of Kernel-Based One-Class Classifier on Imbalance Text Learning.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Uncontrolled Face Recognition by Individual Stable Neural Network.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Learning from facial aging patterns for automatic age estimation.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Reducing performance Bias for Unbalanced Text Mining.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Study on Reliability in Graph Discovery.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Abnormal Behavior Detection for Early Warning of Terrorist Attack.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Parameter Estimation of One-Class SVM on Imbalance Text Classification.
Proceedings of the Advances in Artificial Intelligence, 2006

Integrating Local One-Class Classifiers for Image Retrieval.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Dependency Bagging.
Proceedings of the Rough Sets, 2005

A Study of Train Group Operation Multi-agent Model Oriented to RITS.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Intelligent Financial News Digest System.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

An Incremental FP-Growth Web Content Mining and Its Application in Preference Identification.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Research on train group operation model in RITS.
Proceedings of the 2005 International Symposium on Autonomous Decentralized Systems, 2005

Evolving Insight into High-Dimensional Data.
Proceedings of the Advances in Intelligent Computing, 2005

Applying both positive and negative selection to supervised learning for anomaly detection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

A Novel Field Learning Algorithm for Dual Imbalance Text Classification.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Study of Ensemble Strategies in Discovering Linear Causal Models.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
What Will Affect Software Reuse: A Causal Model Analysis.
International Journal of Software Engineering and Knowledge Engineering, 2004

Guest Editors' Introduction.
International Journal of Software Engineering and Knowledge Engineering, 2004

Software Warehouse: Its Design, Management And Application.
International Journal of Software Engineering and Knowledge Engineering, 2004

An Immune Network Approach for Web Document Clustering.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Accelerating Linear Causal Model Discovery Using Hoeffding Bounds.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Combining Extension Matrix and Integer Programming for Optimal Concept Learning.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

On the Size of Training Set and the Benefit from Ensemble.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Identifying Markov Blankets Using Lasso Estimation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

An Extended Negative Selection Algorithm for Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Ensembling MML Causal Discovery.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Constructing Detectors in Schema Complementary Space for Anomaly Detection.
Proceedings of the Genetic and Evolutionary Computation, 2004

Towards Extended Machine Translation Model for Next Generation World Wide Web.
Proceedings of the Grid and Cooperative Computing, 2004

A Maximal Frequent Itemset Approach for Web Document Clustering.
Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004

2003
Software Warehouse and Its Management Strategies.
Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003

A Web content based data mining for car consumption preference in China.
Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003

An Incremental FP-Growth Approach for Web-Content Based Dynamic Data Mining.
Proceedings of the International Conference on Artificial Intelligence, 2003

A Road Map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining.
Proceedings of the International Conference on Internet Computing, 2003

Mining Sequential Causal Patterns with User-Specified Skeletons in Multi-Sequence of Event Data.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm.
Proceedings of the Discovery Science, 6th International Conference, 2003

2002
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization.
Data Min. Knowl. Discov., 2002

An Improved Approach for the Discovery of Causal Models via MML.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Linear Causal Model Discovery Using the MML criterion.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks.
Proceedings of the Machine Learning: ECML 2002, 2002

2001
Effective personalization based on association rule discovery from web usage data.
Proceedings of the 3rd International Workshop on Web Information and Data Management (WIDM 2001), 2001

Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

2000
Integrating Web Usage and Content Mining for More Effective Personalization.
Proceedings of the Electronic Commerce and Web Technologies, 2000

1999
Extended Predicate Logic and Its Application in Designing MKL Language.
Informatica (Slovenia), 1999

A Minimal Causal Model Learner.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

1998
Forecasting from Low Quality Data with Applications in Weather Forecasting.
Informatica (Slovenia), 1998

Trend Directed Learning: A Case Study.
Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

1997
A Study of Causal Discovery With Weak Links and Small Samples.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
Causal Discovery via MML.
Proceedings of the Machine Learning, 1996

An analysis of criteria for the evaluation of learning performance.
Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996

The discovery of causal models with small samples.
Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996


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