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GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
16 years 3 days ago
Clustering with Niching Genetic K-means Algorithm
GA-based clustering algorithms often employ either simple GA, steady state GA or their variants and fail to consistently and efficiently identify high quality solutions (best known...
Weiguo Sheng, Allan Tucker, Xiaohui Liu
WEA
2009
Springer
111views Algorithms» more  WEA 2009»
16 years 1 months ago
A Heuristic for Fair Correlation-Aware Resource Placement
Abstract. The configuration of network resources greatly impacts the communication overhead for data intensive tasks and constitutes a critical problem in the design and maintenan...
Raouf Boutaba, Martin Karsten, Maxwell Young
DIS
2009
Springer
16 years 1 months ago
Subspace Discovery for Promotion: A Cell Clustering Approach
The promotion analysis problem has been proposed in [16], where ranking-based promotion query processing techniques are studied to effectively and efficiently promote a given obje...
Tianyi Wu, Jiawei Han
CIKM
2006
Springer
15 years 10 months ago
An integer programming approach for frequent itemset hiding
The rapid growth of transactional data brought, soon enough, into attention the need of its further exploitation. In this paper, we investigate the problem of securing sensitive k...
Aris Gkoulalas-Divanis, Vassilios S. Verykios
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 7 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos