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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
16 years 7 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
DMKD
2004
ACM
139views Data Mining» more  DMKD 2004»
16 years 15 days ago
Iterative record linkage for cleaning and integration
Record linkage, the problem of determining when two records refer to the same entity, has applications for both data cleaning (deduplication) and for integrating data from multipl...
Indrajit Bhattacharya, Lise Getoor
KDD
2004
ACM
116views Data Mining» more  KDD 2004»
16 years 13 days ago
A system for automated mapping of bill-of-materials part numbers
Part numbers are widely used within an enterprise throughout the manufacturing process. The point of entry of such part numbers into this process is normally via a Bill of Materia...
Jayant Kalagnanam, Moninder Singh, Sudhir Verma, M...
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
13 years 9 months ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
BMCBI
2010
182views more  BMCBI 2010»
15 years 7 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...