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» Correlated pattern mining in quantitative databases
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PKDD
2005
Springer
159views Data Mining» more  PKDD 2005»
14 years 1 months ago
Fast Burst Correlation of Financial Data
We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
13 years 8 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
CINQ
2004
Springer
133views Database» more  CINQ 2004»
13 years 11 months ago
Inductive Querying for Discovering Subgroups and Clusters
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
Albrecht Zimmermann, Luc De Raedt
TIME
2008
IEEE
14 years 1 months ago
Time Aware Mining of Itemsets
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
Bashar Saleh, Florent Masseglia
ICB
2009
Springer
202views Biometrics» more  ICB 2009»
14 years 2 months ago
Beyond Minutiae: A Fingerprint Individuality Model with Pattern, Ridge and Pore Features
Abstract. Fingerprints are considered to be unique because they contain various distinctive features, including minutiae, ridges, pores, etc. Some attempts have been made to model ...
Yi Chen, Anil K. Jain