Edward Hung

Affiliations:
  • University of Maryland, College Park, USA


According to our database1, Edward Hung authored at least 35 papers between 2000 and 2018.

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

Timeline

Legend:

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Online presence:

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Bibliography

2018
Outlier Detection with Uncertain Data Using Graphics Processors.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

2015
Large margin clustering on uncertain data by considering probability distribution similarity.
Neurocomputing, 2015

Parallel outlier detection on uncertain data for GPUs.
Distributed Parallel Databases, 2015

2014
Outlier Detection with Uncertain Data Using Graphics Processors.
Encyclopedia of Social Network Analysis and Mining, 2014

A heuristic approach to effective and efficient clustering on uncertain objects.
Knowl. Based Syst., 2014

Improving classification accuracy on uncertain data by considering multiple subclasses.
Neurocomputing, 2014

2013
An ensemble of decision cluster crotches for classification of high dimensional data.
Knowl. Based Syst., 2013

2012
A transduction-based approach to fuzzy clustering, relevance ranking and cluster label generation on web search results.
J. Intell. Inf. Syst., 2012

Using a Variable Weighting k-Means Method to Build a Decision Cluster Classification Model.
Int. J. Pattern Recognit. Artif. Intell., 2012

An Efficient Representation Model of Distance Distribution between uncertain Objects.
Comput. Intell., 2012

Accelerating Outlier Detection with Uncertain Data Using Graphics Processors.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011
A subspace decision cluster classifier for text classification.
Expert Syst. Appl., 2011

SPARQL Query Answering with RDFS Reasoning on Correlated Probabilistic Data.
Proceedings of the Web-Age Information Management - 12th International Conference, 2011

Distance-Based Feature Selection on Classification of Uncertain Objects.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Modeling and Querying Probabilistic RDFS Data Sets with Correlated Triples.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2010
Mining outliers with faster cutoff update and space utilization.
Pattern Recognit. Lett., 2010

Fuzzy clustering and relevance ranking of web search results with differentiating cluster label generation.
Proceedings of the FUZZ-IEEE 2010, 2010

Mining Outliers with Adaptive Cutoff Update and Space Utilization (RACAS).
Proceedings of the ECAI 2010, 2010

A Heuristic on Effective and Efficient Clustering on Uncertain Objects.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009
An Audit Environment for Outsourcing of Frequent Itemset Mining.
Proc. VLDB Endow., 2009

Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes.
Proceedings of the Advances in Machine Learning, 2009

2008
Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
Probabilistic interval XML.
ACM Trans. Comput. Log., 2007

Security in Outsourcing of Association Rule Mining.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Mining Frequent Itemsets from Uncertain Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

An Efficient Distance Calculation Method for Uncertain Objects.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2005
Managing Uncertainty and Ontologies in Databases.
PhD thesis, 2005

Probabilistic Ontologies and Relational Databases.
Proceedings of the On the Move to Meaningful Internet Systems 2005: CoopIS, 2005

RDF Aggregate Queries and Views.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
Optimization in Data Cube System Design.
J. Intell. Inf. Syst., 2004

TOSS: An Extension of TAX with Ontologies and Similarity Queries.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

2003
PXML: A Probabilistic Semistructured Data Model and Algebra.
Proceedings of the 19th International Conference on Data Engineering, 2003

2002
Parallel Mining of Outliers in Large Database.
Distributed Parallel Databases, 2002

2000
An Optimization Problem in Data Cube System Design.
Proceedings of the Knowledge Discovery and Data Mining, 2000


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