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CIKM
2009
Springer
15 years 9 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
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
15 years 9 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser
IPPS
2008
IEEE
15 years 9 months ago
Multi-threaded data mining of EDGAR CIKs (Central Index Keys) from ticker symbols
This paper describes how use the Java Swing HTMLEditorKit to perform multi-threaded web data mining on the EDGAR system (Electronic DataGathering, Analysis, and Retrieval system)....
Dougal A. Lyon
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 8 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
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
15 years 8 months ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk