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PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
15 years 10 months ago
Learning from Highly Structured Data by Decomposition
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
René MacKinney-Romero, Christophe G. Giraud...
SAC
2006
ACM
16 years 16 days ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
IPPS
2006
IEEE
16 years 18 days ago
Performance analysis of Java concurrent programming: a case study of video mining system
As multi/many core processors become prevalent, programming language is important in constructing efficient parallel applications. In this work, we build a multithreaded video min...
Wenlong Li, Eric Li, Ran Meng, Tao Wang, Carole Du...
DASFAA
2007
IEEE
135views Database» more  DASFAA 2007»
16 years 28 days ago
A Development of Hash-Lookup Trees to Support Querying Streaming XML
Abstract. The rapid growth in the amount of XML data and the development of publish-subscribe systems have led to great interest in processing streaming XML data. We propose the Qs...
James Cheng, Wilfred Ng
EDBT
2004
ACM
94views Database» more  EDBT 2004»
16 years 6 months ago
Mining Extremely Skewed Trading Anomalies
Trading surveillance systems screen and detect anomalous trades of equity, bonds, mortgage certificates among others. This is to satisfy federal trading regulations as well as to p...
Wei Fan, Philip S. Yu, Haixun Wang