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Displaying 1-6 out of 6 total
Communal Detection of Implicit Personal Identity Streams
Found in: Data Mining Workshops, International Conference on
By Clifton Phua, Ross Gayler, Kate Smith-Miles, Vincent Lee
Issue Date:December 2006
pp. 620-625
The purpose of this paper is to outline some of the major developments of an identity crime/fraud stream mining system. Communal detection is about finding real communities of interest. The algorithm itself is unsupervised, single-pass, differentiates betw...
 
3D Subspace Clustering for Value Investing
Found in: IEEE Intelligent Systems
By Kelvin Sim,Vivekanand Gopalkrishnan,Clifton Phua,Gao Cong
Issue Date:March 2014
pp. 52-59
Using Graham's rules on picking stocks has been proven to generate profits for value investors. The authors propose using 3D subspace clustering to generate rules to pick potential undervalued stocks; 3D subspace clustering is effective in handling high-di...
 
Resilient Identity Crime Detection
Found in: IEEE Transactions on Knowledge and Data Engineering
By Clifton Phua, Kate Smith-Miles, Vincent Lee, Ross Gayler
Publication Date: December 2010
pp. N/A
Identity crime is well known, prevalent, and costly; and credit application fraud is a specific case of identity crime. The existing non-data mining detection systems of business rules and scorecards, and known fraud matching have limitations. To address t...
 
An integrated framework for human activity recognition
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Clifton Phua, Hong Cao, Minh Nhut Nguyen, Shonali Krishnaswamy, Xiao-Li Li
Issue Date:September 2012
pp. 621-622
This poster presents an integrated framework to enable using standard non-sequential machine learning tools for accurate multi-modal activity recognition. Our framework contains simple pre- and post-classification strategies such as class-imbalance correct...
     
An integrated framework for human activity classification
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Clifton Phua, Hong Cao, Minh Nhut Nguyen, Shonali Krishnaswamy, Xiao-Li Li
Issue Date:September 2012
pp. 331-340
This paper presents an integrated framework to enable using standard non-sequential machine learning tools for accurate multi-modal activity recognition. We develop a novel framework that contains simple pre- and post-classification strategies to improve t...
     
Adaptive communal detection in search of adversarial identity crime
Found in: Proceedings of the 2007 international workshop on Domain driven data mining (DDDM '07)
By Clifton Phua, Kate Smith-Miles, Ross Gayler, Vincent Lee
Issue Date:August 2007
pp. 1-10
This paper is on adaptive real-time searching of credit application data streams for identity crime with many search parameters. Specifically, we concentrated on handling our domain-specific adversarial activity problem with the adaptive Communal Analysis ...
     
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