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ORCIDEdward Hung
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- affiliation: University of Maryland, College Park, USA
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2010 – 2019
- 2018
[r2]Takazumi Matsumoto
, Edward Hung, Man Lung Yiu:
Outlier Detection with Uncertain Data Using Graphics Processors. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018- 2015
- [j14]Takazumi Matsumoto, Edward Hung, Man Lung Yiu:
Parallel outlier detection on uncertain data for GPUs. Distributed Parallel Databases 33(3): 417-447 (2015) - [j13]Lei Xu, Qinghua Hu, Edward Hung, Baowen Chen, Xu Tan, Changrui Liao:
Large margin clustering on uncertain data by considering probability distribution similarity. Neurocomputing 158: 81-89 (2015) - 2014
- [j12]Lei Xu, Edward Hung:
Improving classification accuracy on uncertain data by considering multiple subclasses. Neurocomputing 145: 98-107 (2014) - [j11]Lei Xu, Qinghua Hu, Edward Hung, Chi-Cheong Szeto:
A heuristic approach to effective and efficient clustering on uncertain objects. Knowl. Based Syst. 66: 112-125 (2014) - [r1]Takazumi Matsumoto, Edward Hung:
Outlier Detection with Uncertain Data Using Graphics Processors. Encyclopedia of Social Network Analysis and Mining 2014: 1233-1244 - 2013
- [j10]Yan Li, Yunming Ye, Zhaocai Sun, Edward Hung, Joshua Zhexue Huang, Yueping Li:
An ensemble of decision cluster crotches for classification of high dimensional data. Knowl. Based Syst. 43: 63-73 (2013) - 2012
- [j9]Edward Hung, Lurong Xiao, Regant Y. S. Hung:
An Efficient Representation Model of Distance Distribution between uncertain Objects. Comput. Intell. 28(3): 373-397 (2012) - [j8]Yan Li, Edward Hung, Korris Fu-Lai Chung, Joshua Zhexue Huang:
Using a Variable Weighting k-Means Method to Build a Decision Cluster Classification Model. Int. J. Pattern Recognit. Artif. Intell. 26(2) (2012) - [j7]Takazumi Matsumoto, Edward Hung:
A transduction-based approach to fuzzy clustering, relevance ranking and cluster label generation on web search results. J. Intell. Inf. Syst. 38(2): 419-448 (2012) - [c21]Lei Xu, Edward Hung:
Improving Classification Accuracy on Uncertain Data by Considering Multiple Subclasses. Australasian Conference on Artificial Intelligence 2012: 743-754 - [c20]Takazumi Matsumoto, Edward Hung:
Accelerating Outlier Detection with Uncertain Data Using Graphics Processors. PAKDD (2) 2012: 169-180 - 2011
- [j6]Yan Li, Edward Hung, Korris Fu-Lai Chung:
A subspace decision cluster classifier for text classification. Expert Syst. Appl. 38(10): 12475-12482 (2011) - [c19]Chi-Cheong Szeto, Edward Hung, Yu Deng:
Modeling and Querying Probabilistic RDFS Data Sets with Correlated Triples. APWeb 2011: 333-344 - [c18]Lei Xu, Edward Hung:
Distance-Based Feature Selection on Classification of Uncertain Objects. Australasian Conference on Artificial Intelligence 2011: 172-181 - [c17]Chi-Cheong Szeto, Edward Hung, Yu Deng:
SPARQL Query Answering with RDFS Reasoning on Correlated Probabilistic Data. WAIM 2011: 56-67 - 2010
- [j5]Chi-Cheong Szeto, Edward Hung:
Mining outliers with faster cutoff update and space utilization. Pattern Recognit. Lett. 31(11): 1292-1301 (2010) - [c16]Edward Hung, Lei Xu, Chi-Cheong Szeto:
A Heuristic on Effective and Efficient Clustering on Uncertain Objects. Australasian Conference on Artificial Intelligence 2010: 92-101 - [c15]Chi-Cheong Szeto, Edward Hung:
Mining Outliers with Adaptive Cutoff Update and Space Utilization (RACAS). ECAI 2010: 791-796 - [c14]Takazumi Matsumoto, Edward Hung:
Fuzzy clustering and relevance ranking of web search results with differentiating cluster label generation. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2009
- [j4]Wai Kit Wong, David Wai-Lok Cheung, Edward Hung, Ben Kao, Nikos Mamoulis:
An Audit Environment for Outsourcing of Frequent Itemset Mining. Proc. VLDB Endow. 2(1): 1162-1172 (2009) - [c13]Yan Li, Edward Hung:
Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes. ACML 2009: 263-277 - [c12]Chi-Cheong Szeto, Edward Hung:
Mining Outliers with Faster Cutoff Update and Space Utilization. PAKDD 2009: 823-830 - 2008
- [c11]Yan Li, Edward Hung, Korris Fu-Lai Chung, Joshua Zhexue Huang:
Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method. Australasian Conference on Artificial Intelligence 2008: 337-347 - [c10]Wai Kit Wong, David W. Cheung, Edward Hung, Huan Liu:
Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining. PAKDD 2008: 381-392 - 2007
- [j3]Edward Hung, Lise Getoor, V. S. Subrahmanian:
Probabilistic interval XML. ACM Trans. Comput. Log. 8(4): 24 (2007) - [c9]Lurong Xiao, Edward Hung:
An Efficient Distance Calculation Method for Uncertain Objects. CIDM 2007: 10-17 - [c8]Chun Kit Chui, Ben Kao, Edward Hung:
Mining Frequent Itemsets from Uncertain Data. PAKDD 2007: 47-58 - [c7]Wai Kit Wong, David W. Cheung, Edward Hung, Ben Kao, Nikos Mamoulis:
Security in Outsourcing of Association Rule Mining. VLDB 2007: 111-122 - 2005
- [b1]Edward Hung:
Managing Uncertainty and Ontologies in Databases. University of Maryland, College Park, MD, USA, 2005 - [c6]Edward Hung, Yu Deng, V. S. Subrahmanian:
RDF Aggregate Queries and Views. ICDE 2005: 717-728 - [c5]Octavian Udrea, Yu Deng, Edward Hung, V. S. Subrahmanian:
Probabilistic Ontologies and Relational Databases. OTM Conferences (1) 2005: 1-17 - 2004
- [j2]Edward Hung, David Wai-Lok Cheung, Ben Kao:
Optimization in Data Cube System Design. J. Intell. Inf. Syst. 23(1): 17-45 (2004) - [c4]Edward Hung, Yu Deng, V. S. Subrahmanian:
TOSS: An Extension of TAX with Ontologies and Similarity Queries. SIGMOD Conference 2004: 719-730 - 2003
- [c3]Edward Hung, Lise Getoor, V. S. Subrahmanian:
PXML: A Probabilistic Semistructured Data Model and Algebra. ICDE 2003: 467-478 - [c2]Edward Hung, Lise Getoor, V. S. Subrahmanian:
Probabilistic Interval XML. ICDT 2003: 358-374 - 2002
- [j1]Edward Hung, David Wai-Lok Cheung:
Parallel Mining of Outliers in Large Database. Distributed Parallel Databases 12(1): 5-26 (2002) - 2000
- [c1]Edward Hung, David Wai-Lok Cheung, Ben Kao, Yilong Liang:
An Optimization Problem in Data Cube System Design. PAKDD 2000: 74-85
Coauthor Index
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