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KDD
2004
ACM
144views Data Mining» more  KDD 2004»
16 years 4 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
PVLDB
2010
134views more  PVLDB 2010»
15 years 2 months ago
High-Performance Dynamic Pattern Matching over Disordered Streams
Current pattern-detection proposals for streaming data recognize the need to move beyond a simple regular-expression model over strictly ordered input. We continue in this directi...
Badrish Chandramouli, Jonathan Goldstein, David Ma...
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
16 years 4 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...
HPCA
2004
IEEE
16 years 4 months ago
Accurate and Complexity-Effective Spatial Pattern Prediction
Recent research suggests that there are large variations in a cache's spatial usage, both within and across programs. Unfortunately, conventional caches typically employ fixe...
Chi F. Chen, Se-Hyun Yang, Babak Falsafi, Andreas ...
DEBS
2007
ACM
15 years 5 months ago
Identification of suspicious, unknown event patterns in an event cloud
This paper describes an approach to detect unknown event patterns. In this context, an event is not only something that happens, but also something that can be analysed. This task...
Alexander Widder, Rainer von Ammon, Philippe Schae...