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ICDM
2002
IEEE
132views Data Mining» more  ICDM 2002»
15 years 2 months ago
Speed-up Iterative Frequent Itemset Mining with Constraint Changes
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...
Gao Cong, Bing Liu
99
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JMLR
2010
165views more  JMLR 2010»
14 years 4 months ago
Feature Selection: An Ever Evolving Frontier in Data Mining
The rapid advance of computer technologies in data processing, collection, and storage has provided unparalleled opportunities to expand capabilities in production, services, comm...
Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
IDEAL
2009
Springer
14 years 7 months ago
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool
This work is related to the KEEL1 (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an ...
Alberto Fernández, Julián Luengo, Jo...
TKDE
2012
278views Formal Methods» more  TKDE 2012»
13 years 22 hour ago
Data Cube Materialization and Mining over MapReduce
—Computing interesting measures for data cubes and subsequent mining of interesting cube groups over massive datasets are critical for many important analyses done in the real wo...
Arnab Nandi, Cong Yu, Philip Bohannon, Raghu Ramak...
ADMA
2005
Springer
119views Data Mining» more  ADMA 2005»
15 years 3 months ago
Heuristic Scheduling of Concurrent Data Mining Queries
Execution cost of batched data mining queries can be reduced by integrating their I/O steps. Due to memory limitations, not all data mining queries in a batch can be executed toget...
Marek Wojciechowski, Maciej Zakrzewicz