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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 7 months ago
Frequent pattern mining with uncertain data
In this paper, we will examine the frequent pattern mining for uncertain data sets. We will show how the broad classes of algorithms can be extended to the uncertain data setting....
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wan...
CIKM
2009
Springer
16 years 1 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
IPPS
2008
IEEE
16 years 1 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»
16 years 3 days 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 12 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