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CIKM
2009
Springer
15 years 11 months ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 10 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
ADBIS
2003
Springer
144views Database» more  ADBIS 2003»
15 years 9 months ago
Updatable XML Views
Abstract. XML views can be used in Web applications to resolve incompatibilities among heterogeneous XML sources. They allow to reduce the amount of data that a user has to deal wi...
Hanna Kozankiewicz, Jacek Leszczylowski, Kazimierz...
VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 8 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
BMCBI
2010
149views more  BMCBI 2010»
15 years 4 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...