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KDD
2006
ACM
107views Data Mining» more  KDD 2006»
16 years 3 months ago
Out-of-core frequent pattern mining on a commodity PC
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
Gregory Buehrer, Srinivasan Parthasarathy, Amol Gh...
ICDM
2008
IEEE
164views Data Mining» more  ICDM 2008»
15 years 9 months ago
Classifying High-Dimensional Text and Web Data Using Very Short Patterns
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classificatio...
Hassan H. Malik, John R. Kender
IDEAS
1999
IEEE
175views Database» more  IDEAS 1999»
15 years 7 months ago
A Parallel Scalable Infrastructure for OLAP and Data Mining
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...
Sanjay Goil, Alok N. Choudhary
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
SDM
2012
SIAM
235views Data Mining» more  SDM 2012»
13 years 5 months ago
Sampling Strategies to Evaluate the Performance of Unknown Predictors
The focus of this paper is on how to select a small sample of examples for labeling that can help us to evaluate many different classification models unknown at the time of sampl...
Hamed Valizadegan, Saeed Amizadeh, Milos Hauskrech...