Edward Hung

发表

Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining

Huan Liu, David Wai-Lok Cheung, Wai Kit Wong, 2008, PAKDD.

Managing Uncertainty and Ontologies in Databases

Edward Hung, E. Hung, 2005 .

ProbSem: A Probabilistic Semistructured Database Model

Edward Hung, 2002 .

A Study of Rules, Structures, Features, and Biases in the New Media for Digital Advertising for the Development of New Media Ontology

Edward Hung, Ada Yan Tung Chan, Rachel Chin Yee Chan, 2018, Advances in Human Factors in Communication of Design.

Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method

Korris Fu-Lai Chung, Yan Li, Joshua Zhexue Huang, 2008, Australasian Conference on Artificial Intelligence.

Mining Frequent Itemsets from Uncertain Data

Edward Hung, Ben Kao, Chun Kit Chui, 2007, PAKDD.

Modeling and Querying Probabilistic RDFS Data Sets with Correlated Triples

Yu Deng, Edward Hung, Chi-Cheong Szeto, 2011, APWeb.

Outlier Detection with Uncertain Data Using Graphics Processors

Man Lung Yiu, Edward Hung, Takazumi Matsumoto, 2012, Encyclopedia of Social Network Analysis and Mining.

Accelerating Outlier Detection with Uncertain Data Using Graphics Processors

Edward Hung, Takazumi Matsumoto, 2012, PAKDD.

A subspace decision cluster classifier for text classification

Korris Fu-Lai Chung, Yan Li, Edward Hung, 2011, Expert Syst. Appl..

Mining outliers with faster cutoff update and space utilization

Edward Hung, Chi-Cheong Szeto, 2010, Pattern Recognit. Lett..

Probabilistic Interval XML

V. S. Subrahmanian, Lise Getoor, Edward Hung, 2003, ICDT.

Fuzzy clustering and relevance ranking of web search results with differentiating cluster label generation

Edward Hung, Takazumi Matsumoto, 2010, International Conference on Fuzzy Systems.

Parallel outlier detection on uncertain data for GPUs

Man Lung Yiu, Edward Hung, Takazumi Matsumoto, 2015, Distributed and Parallel Databases.

SPARQL Query Answering with RDFS Reasoning on Correlated Probabilistic Data

Yu Deng, Edward Hung, Chi-Cheong Szeto, 2011, WAIM.

An Investigation into the Power of Digital Media in Hong Kong

Edward Hung, 2019 .

A heuristic approach to effective and efficient clustering on uncertain objects

Qinghua Hu, Edward Hung, Lei Xu, 2014, Knowl. Based Syst..

Probabilistic Ontologies and Relational Databases

V. S. Subrahmanian, Yu Deng, Octavian Udrea, 2005, OTM Conferences.

AN EFFICIENT REPRESENTATION MODEL OF DISTANCE DISTRIBUTION BETWEEN UNCERTAIN OBJECTS

Edward Hung, Regant Y. S. Hung, Lurong Xiao, 2012, Comput. Intell..

A transduction-based approach to fuzzy clustering, relevance ranking and cluster label generation on web search results

Edward Hung, Takazumi Matsumoto, 2011, Journal of Intelligent Information Systems.

Improving Classification Accuracy on Uncertain Data by Considering Multiple Subclasses

Edward Hung, Lei Xu, 2012, Australasian Conference on Artificial Intelligence.

Outlier Detection with Uncertain Data Using Graphics Processors

Edward Hung, Takazumi Matsumoto, 2014, Encyclopedia of Social Network Analysis and Mining.

An Optimization Problem in Data Cube System Design

David Wai-Lok Cheung, Edward Hung, Yilong Liang, 2000, PAKDD.

A Heuristic on Effective and Efficient Clustering on Uncertain Objects

Edward Hung, Lei Xu, Chi-Cheong Szeto, 2010, Australasian Conference on Artificial Intelligence.

Mining Outliers with Adaptive Cutoff Update and Space Utilization (RACAS)

Edward Hung, Chi-Cheong Szeto, 2010, ECAI.

An Efficient Distance Calculation Method for Uncertain Objects

Edward Hung, Lurong Xiao, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

TOSS: an extension of TAX with ontologies and similarity queries

V. S. Subrahmanian, Yu Deng, Edward Hung, 2004, SIGMOD '04.

Towards a Generalization of New Media

Edward Hung, 2017 .

An Audit Environment for Outsourcing of Frequent Itemset Mining

Nikos Mamoulis, David Wai-Lok Cheung, Wai Kit Wong, 2009, Proc. VLDB Endow..

Optimization in Data Cube System Design

David Wai-Lok Cheung, Edward Hung, Ben Kao, 2004, Journal of Intelligent Information Systems.

Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes

Yan Li, Edward Hung, E. Hung, 2009, ACML.

Parallel Mining of Outliers in Large Database

David Wai-Lok Cheung, Edward Hung, 2004, Distributed and Parallel Databases.

RDF aggregate queries and views

V. S. Subrahmanian, Yu Deng, Edward Hung, 2005, 21st International Conference on Data Engineering (ICDE'05).

Mining Outliers with Faster Cutoff Update and Space Utilization

Edward Hung, Chi-Cheong Szeto, 2009, PAKDD.

Improving classification accuracy on uncertain data by considering multiple subclasses

Edward Hung, Lei Xu, E. Hung, 2012, Neurocomputing.

Security in Outsourcing of Association Rule Mining

Nikos Mamoulis, David Wai-Lok Cheung, Wai Kit Wong, 2007, VLDB.

Probabilistic interval XML

V. S. Subrahmanian, Lise Getoor, Edward Hung, 2003, TOCL.

Distance-Based Feature Selection on Classification of Uncertain Objects

Edward Hung, Lei Xu, E. Hung, 2011, Australasian Conference on Artificial Intelligence.

Large margin clustering on uncertain data by considering probability distribution similarity

Qinghua Hu, Xu Tan, Edward Hung, 2015, Neurocomputing.

An Exploration of Domain-Dependent Design Theories for the Designing of Advertising Functions and Contents on New Media

Edward Hung, 2018 .

An ensemble of decision cluster crotches for classification of high dimensional data

Yunming Ye, Yueping Li, Joshua Zhexue Huang, 2013, Knowl. Based Syst..

PXML: a probabilistic semistructured data model and algebra

V. S. Subrahmanian, Lise Getoor, Edward Hung, 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

Building a decision cluster classification model by a clustering algorithm to classify large high dimensional data with multiple classes

Yan Li, Edward Hung, 2010 .