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» Time series modeling for IDS alert management
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ASPLOS
2010
ACM
15 years 4 months ago
Request behavior variations
A large number of user requests execute (often concurrently) within a server system. A single request may exhibit fluctuating hardware characteristics (such as instruction comple...
Kai Shen
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
15 years 10 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 4 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...
KDD
2006
ACM
146views Data Mining» more  KDD 2006»
15 years 10 months ago
Structure and evolution of online social networks
In this paper, we consider the evolution of structure within large online social networks. We present a series of measurements of two such networks, together comprising in excess ...
Ravi Kumar, Jasmine Novak, Andrew Tomkins
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 1 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...