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GECCO
2010
Springer
176views Optimization» more  GECCO 2010»
14 years 11 months ago
A hierarchical cooperative evolutionary algorithm
To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Shelly Xiaonan Wu, Wolfgang Banzhaf
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
TKDE
2008
156views more  TKDE 2008»
14 years 9 months ago
A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
Yan Huang, Liqin Zhang, Pusheng Zhang
PODS
2008
ACM
153views Database» more  PODS 2008»
15 years 9 months ago
Approximation algorithms for co-clustering
Co-clustering is the simultaneous partitioning of the rows and columns of a matrix such that the blocks induced by the row/column partitions are good clusters. Motivated by severa...
Aris Anagnostopoulos, Anirban Dasgupta, Ravi Kumar
KBS
2006
87views more  KBS 2006»
14 years 9 months ago
Predictive and comprehensible rule discovery using a multi-objective genetic algorithm
We present a multi-objective genetic algorithm for mining highly predictive and comprehensible classification rules from large databases. We emphasize predictive accuracy and comp...
Satchidananda Dehuri, Rajib Mall