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» Scalable Data Mining with Model Constraints
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ICDM
2009
IEEE
188views Data Mining» more  ICDM 2009»
13 years 5 months ago
Binomial Matrix Factorization for Discrete Collaborative Filtering
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Jinlong Wu
KDD
2008
ACM
209views Data Mining» more  KDD 2008»
14 years 8 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 8 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ICDM
2005
IEEE
118views Data Mining» more  ICDM 2005»
14 years 1 months ago
A Heterogeneous Field Matching Method for Record Linkage
Record linkage is the process of determining that two records refer to the same entity. A key subprocess is evaluating how well the individual fields, or attributes, of the recor...
Steven Minton, Claude Nanjo, Craig A. Knoblock, Ma...
KDD
1997
ACM
184views Data Mining» more  KDD 1997»
13 years 11 months ago
JAM: Java Agents for Meta-Learning over Distributed Databases
In this paper, we describe the JAM system, a distributed, scalable and portable agent-based data mining system that employs a general approach to scaling data mining applications ...
Salvatore J. Stolfo, Andreas L. Prodromidis, Shell...