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SIGIR
2006
ACM
15 years 5 months ago
Latent semantic analysis for multiple-type interrelated data objects
Co-occurrence data is quite common in many real applications. Latent Semantic Analysis (LSA) has been successfully used to identify semantic relations in such data. However, LSA c...
Xuanhui Wang, Jian-Tao Sun, Zheng Chen, ChengXiang...
DMIN
2007
85views Data Mining» more  DMIN 2007»
15 years 1 months ago
A Clustering Approach for Achieving Data Privacy
Abstract — New privacy regulations together with everincreasing data availability and computational power have created a huge interest in data privacy research. One major researc...
Alina Campan, Traian Marius Truta, John Miller, Ra...
MANSCI
2007
88views more  MANSCI 2007»
14 years 11 months ago
Resolving Inconsistencies in Utility Measurement Under Risk: Tests of Generalizations of Expected Utility
This paper explores biases in the elicitation of utilities under risk and the contribution that generalizations of expected utility can make to the resolution of these biases. We ...
Han Bleichrodt, Jose Maria Abellan-Perpiñan...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 7 days ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
APPROX
2010
Springer
176views Algorithms» more  APPROX 2010»
15 years 1 months ago
Approximation Algorithms for Min-Max Generalization Problems
Abstract. We provide improved approximation algorithms for the minmax generalization problems considered by Du, Eppstein, Goodrich, and Lueker [1]. In min-max generalization proble...
Piotr Berman, Sofya Raskhodnikova