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» A probabilistic framework for relational clustering
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SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
15 years 11 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
SIGIR
2008
ACM
15 years 1 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...
CORR
2002
Springer
123views Education» more  CORR 2002»
15 years 1 months ago
Survey propagation: an algorithm for satisfiability
: We study the satisfiability of randomly generated formulas formed by M clauses of exactly K literals over N Boolean variables. For a given value of N the problem is known to be m...
Alfredo Braunstein, Marc Mézard, Riccardo Z...
CIKM
2010
Springer
15 years 16 days ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
BMCBI
2006
112views more  BMCBI 2006»
15 years 2 months ago
A phylogenomic gene cluster resource: the Phylogenetically Inferred Groups (PhIGs) database
Background: We present here the PhIGs database, a phylogenomic resource for sequenced genomes. Although many methods exist for clustering gene families, very few attempt to create...
Paramvir S. Dehal, Jeffrey L. Boore