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ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
16 years 1 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
IVS
2006
240views more  IVS 2006»
15 years 6 months ago
Business process impact visualization and anomaly detection
Business operations involve many factors and relationships and are modeled as complex business process workflows. The execution of these business processes generates vast volumes ...
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, J&oum...
ICDM
2010
IEEE
101views Data Mining» more  ICDM 2010»
15 years 4 months ago
Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems
A Cyber-Physical System (CPS) integrates physical devices (e.g., sensors, cameras) with cyber (or informational) components to form a situation-integrated analytical system that re...
Lu An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Chi...
PRDC
2009
IEEE
16 years 1 months ago
Quantifying Criticality of Dependability-Related IT Organization Processes in CobiT
—With ever-growing complexity of computer and communication systems analytical methods do not scale, especially with respect to dependability assessment of information technology...
Tobias Goldschmidt, Andreas Dittrich, Miroslaw Mal...
CG
2000
Springer
15 years 11 months ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber