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KDD
2000
ACM
115views Data Mining» more  KDD 2000»
14 years 15 days ago
Mining asynchronous periodic patterns in time series data
Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and d...
Jiong Yang, Wei Wang 0010, Philip S. Yu
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
14 years 3 months ago
Adaptive Spike Detection for Resilient Data Stream Mining
Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adap...
Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee,...
KDD
2002
ACM
144views Data Mining» more  KDD 2002»
14 years 9 months ago
ADMIT: anomaly-based data mining for intrusions
Security of computer systems is essential to their acceptance and utility. Computer security analysts use intrusion detection systems to assist them in maintaining computer system...
Karlton Sequeira, Mohammed Javeed Zaki
COMAD
2009
13 years 10 months ago
Modeling Relational Data as Graphs for Mining
The focus of this paper is to develop algorithms and a framework for modeling transactional data stored in relational database into graphs for mining. Most of the real-world trans...
Subhesh Pradhan, Sharma Chakravarthy, Aditya Telan...
ISI
2008
Springer
13 years 9 months ago
Data mining for social network analysis
A social network is defined as a social structure of individuals, who are related (directly or indirectly to each other) based on a common relation of interest, e.g. friendship, t...
J. Srivastava