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» T-Time: Threshold-Based Data Mining on Time Series
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SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 4 months ago
Topic Evolution in a Stream of Documents.
Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
Alexander Hinneburg, Andrè Gohr, Myra Spili...
PETRA
2009
ACM
14 years 2 months ago
Towards faster activity search using embedding-based subsequence matching
Event search is the problem of identifying events or activity of interest in a large database storing long sequences of activity. In this paper, our topic is the problem of identi...
Panagiotis Papapetrou, Paul Doliotis, Vassilis Ath...
KDD
2001
ACM
203views Data Mining» more  KDD 2001»
14 years 8 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 8 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
13 years 9 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh