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» A Partial-Repeatability Approach to Data Mining
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SADM
2010
141views more  SADM 2010»
14 years 11 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
EUSFLAT
2007
118views Fuzzy Logic» more  EUSFLAT 2007»
15 years 5 months ago
A Less Cumulative Algorithm of Mining Linguistic Browsing Patterns in the World Wide Web
Finding sequential patterns is one of important issues in data mining. This paper deals with linguistic (fuzzy) sequential patterns. The existing algorithms for discovering such p...
Krzysztof Dyczkowski
KDD
2009
ACM
141views Data Mining» more  KDD 2009»
16 years 4 months ago
Meme-tracking and the dynamics of the news cycle
Tracking new topics, ideas, and "memes" across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long ...
Jure Leskovec, Lars Backstrom, Jon M. Kleinberg
KDD
2006
ACM
121views Data Mining» more  KDD 2006»
16 years 4 months ago
Query-time entity resolution
The goal of entity resolution is to reconcile database references corresponding to the same real-world entities. Given the abundance of publicly available databases where entities...
Indrajit Bhattacharya, Lise Getoor, Louis Licamele
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 4 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler