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ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
14 years 4 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
DIS
2001
Springer
14 years 2 months ago
An Integrated Framework for Extended Discovery in Particle Physics
In this paper we describe BR-4, a computational model of scienti c discovery in particle physics. The system incorporates operators for determining quantum values of known particle...
Sakir Kocabas, Pat Langley
KDD
1997
ACM
142views Data Mining» more  KDD 1997»
14 years 2 months ago
Knowledge Discovery in Integrated Call Centers: A Framework for Effective Customer-Driven Marketing
As call centersbecomemorepervasive,the customersseek individualized service and greater attention. The call centers are becoming the contact centers - a one-stop, singleinterfacef...
Paul Xia
WILF
2007
Springer
127views Fuzzy Logic» more  WILF 2007»
14 years 4 months ago
Unsupervised Haplotype Reconstruction and LD Blocks Discovery in a Hidden Markov Framework
In the last years haplotype reconstruction and haplotype blocks discovery, i.e., the estimation of patterns of linkage disequilibrium (LD) in the haplotypes, riveted the attention ...
Alessandro Perina, Marco Cristani, Giovanni Malerb...
CIAC
2010
Springer
194views Algorithms» more  CIAC 2010»
14 years 3 months ago
An Algorithmic Framework for Motif Discovery Problems in Weighted Sequences
A weighted sequence is a string in which a set of characters may appear at each position with respective probabilities of occurrence. A common task is to locate a given motif in a ...
Hui Zhang, Qing Guo, Costas S. Iliopoulos