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ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 1 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
KDD
2012
ACM
221views Data Mining» more  KDD 2012»
13 years 1 days ago
Fast mining and forecasting of complex time-stamped events
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
Yasuko Matsubara, Yasushi Sakurai, Christos Falout...
KDD
2006
ACM
240views Data Mining» more  KDD 2006»
15 years 10 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
CACM
2000
186views more  CACM 2000»
14 years 9 months ago
Automatic personalization based on Web usage mining
One important class of Data Mining applications is the so-called "Web Mining" that analyzes and extracts important and non-trivial knowledge from Web related data. Typic...
Bamshad Mobasher, Robert Cooley, Jaideep Srivastav...
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
15 years 11 months ago
Unordered Tree Mining with Applications to Phylogeny
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
Dennis Shasha, Jason Tsong-Li Wang, Sen Zhang