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» Agent-Enriched Data Mining Using an Extendable Framework
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KDD
2010
ACM
304views Data Mining» more  KDD 2010»
14 years 8 months ago
Automatic malware categorization using cluster ensemble
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Todayâ...
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
AUSDM
2008
Springer
221views Data Mining» more  AUSDM 2008»
14 years 11 months ago
Indoor Location Prediction Using Multiple Wireless Received Signal Strengths
This paper presents a framework for indoor location prediction system using multiple wireless signals available freely in public or office spaces. We first proabstract architectur...
Kha Tran, Dinh Q. Phung, Brett Adams, Svetha Venka...
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
15 years 10 months ago
Application of kernels to link analysis
Abstract. The application of kernel methods to link analysis is explored. We argue that a family of kernels on graphs provides a unified perspective on the three measures proposed ...
Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Mats...
ICDM
2005
IEEE
136views Data Mining» more  ICDM 2005»
15 years 3 months ago
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
Tsuyoshi Idé
FLAIRS
2008
15 years 3 days ago
Distance Metric Learning for Conditional Anomaly Detection
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
Michal Valko, Milos Hauskrecht