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ICDE
2007
IEEE
172views Database» more  ICDE 2007»
16 years 20 days ago
A New Data Cube for Integrating Data Mining and OLAP
Recently there is much need of discovering useful knowledge from massive log-data which are generated by Webbased information systems. Such log-data have multiple attributes about...
Tadashi Ohmori, Masahide Naruse, Mamoru Hoshi
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 12 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
DEXA
2004
Springer
153views Database» more  DEXA 2004»
15 years 11 months ago
A New Approach of Eliminating Redundant Association Rules
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
CEC
2009
IEEE
16 years 1 months ago
An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization
— In this paper, we propose a new algorithm, named JACC-G, for large scale optimization problems. The motivation is to improve our previous work on grouping and adaptive weightin...
Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Art...
FPGA
2000
ACM
114views FPGA» more  FPGA 2000»
15 years 10 months ago
Generating highly-routable sparse crossbars for PLDs
A method for evaluating and constructing sparse crossbars which are both area efficient and highly routable is presented. The evaluation method uses a network flow algorithm to ac...
Guy G. Lemieux, Paul Leventis, David M. Lewis