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KDD
1997
ACM
213views Data Mining» more  KDD 1997»
14 years 20 days ago
A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
Theproblemof efficiently and accurately locating patterns of interest in massivetimeseries data sets is an important and non-trivial problemin a wide variety of applications, incl...
Eamonn J. Keogh, Padhraic Smyth
ICDM
2006
IEEE
148views Data Mining» more  ICDM 2006»
14 years 2 months ago
Data Mining Approaches to Criminal Career Analysis
— Narrative reports and criminal records are stored digitally across individual police departments, enabling the collection of this data to compile a nation-wide database of crim...
Jeroen S. de Bruin, Tim K. Cocx, Walter A. Kosters...
CEC
2008
IEEE
14 years 3 months ago
Distributed multi-relational data mining based on genetic algorithm
—An efficient algorithm for mining important association rule from multi-relational database using distributed mining ideas. Most existing data mining approaches look for rules i...
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng...
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
14 years 1 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
14 years 9 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin