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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 8 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
15 years 4 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 7 months ago
Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
Rhonda Chaytor
PAKDD
2010
ACM
198views Data Mining» more  PAKDD 2010»
15 years 11 months ago
A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods
Abstract. The definition of a community in social networks varies with applications. To generalize different types of communities, the concept of linkpattern based community was pr...
Chen-Yi Lin, Jia-Ling Koh, Arbee L. P. Chen
CLEIEJ
2004
168views more  CLEIEJ 2004»
15 years 6 months ago
Contributions of KDD to the Knowledge Management Process: a Case Study
Knowledge Discovery in Databases (KDD), as any organizational process, is carried out beneath a Knowledge Management (KM) model adopted (even informally) by a corporation. KDD is ...
Paulo de Tarso Costa de Sousa, Hércules Ant...