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» Using Data Mining in MURA Graphic Problems
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ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 3 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
111
Voted
EDBT
2004
ACM
234views Database» more  EDBT 2004»
15 years 9 months ago
A Condensation Approach to Privacy Preserving Data Mining
In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many...
Charu C. Aggarwal, Philip S. Yu
ESWA
2011
237views Database» more  ESWA 2011»
14 years 4 months ago
Mining the optimal clustering of people's characteristics of health care choices
In Asian countries, it has been a multi-choice environment of health care for a long time. However, especially in Taiwan, people’s multiple health care seeking behavior has resu...
Chieh-Yu Liu, Jih-Shin Liu
COLING
2008
14 years 11 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
ADMA
2005
Springer
189views Data Mining» more  ADMA 2005»
15 years 3 months ago
Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem
In this paper, we design genetic algorithm and simulated annealing algorithm and their parallel versions to solve the Closest String problem. Our implementation and experiments sho...
Xuan Liu, Hongmei He, Ondrej Sýkora