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ICML
2004
IEEE
14 years 11 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
14 years 11 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 10 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
ADBIS
2006
Springer
131views Database» more  ADBIS 2006»
14 years 4 months ago
Anatomy of a Data Stream Management System
Abstract. In this paper, we identify issues and present solutions developed – both theoretical and experimental – during the course of developing a data stream management syste...
Qingchun Jiang, Sharma Chakravarthy
IPCCC
2007
IEEE
14 years 4 months ago
SpyCon: Emulating User Activities to Detect Evasive Spyware
The success of any spyware is determined by its ability to evade detection. Although traditional detection methodologies employing signature and anomaly based systems have had rea...
Madhusudhanan Chandrasekaran, Vidyaraman Vidyarama...