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GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
13 years 10 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
DKE
2007
119views more  DKE 2007»
13 years 9 months ago
Association rules mining using heavy itemsets
A well-known problem that limits the practical usage of association rule mining algorithms is the extremely large number of rules generated. Such a large number of rules makes the...
Girish Keshav Palshikar, Mandar S. Kale, Manoj M. ...
TKDE
2008
117views more  TKDE 2008»
13 years 9 months ago
Competitor Mining with the Web
This paper is concerned with the problem of mining competitors from the Web automatically. Nowadays, the fierce competition in the market necessitates every company to know not onl...
Shenghua Bao, Rui Li, Yong Yu, Yunbo Cao
PVLDB
2010
84views more  PVLDB 2010»
13 years 7 months ago
Processing Top-k Join Queries
We consider the problem of efficiently finding the top-k answers for join queries over web-accessible databases. Classical algorithms for finding top-k answers use branch-and-b...
Minji Wu, Laure Berti-Equille, Amélie Maria...
ICDM
2010
IEEE
96views Data Mining» more  ICDM 2010»
13 years 7 months ago
Domain-Driven Data Mining for IT Infrastructure Support
Abstract--Support analytics (i.e., statistical analysis, modeling and mining of customer/operations support tickets data) is important in service industries. In this paper, we adop...
Girish Keshav Palshikar, Harrick M. Vin, Mohammed ...