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» A Robustness Measure of Association Rules
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VLDB
2008
ACM
147views Database» more  VLDB 2008»
16 years 1 days ago
Providing k-anonymity in data mining
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
Arik Friedman, Ran Wolff, Assaf Schuster
ASUNAM
2009
IEEE
15 years 6 months ago
Modeling a Store's Product Space as a Social Network
A market basket is a set of products that form a single retail transaction. This purchase data of products can shed important light on how product(s) might influence sales of oth...
Troy Raeder, Nitesh V. Chawla
MCS
2004
Springer
15 years 5 months ago
Classifier Fusion Using Triangular Norms
This paper describes a method for fusing a collection of classifiers where the fusion can compensate for some positive correlation among the classifiers. Specifically, it does not ...
Piero P. Bonissone, Kai Goebel, Weizhong Yan
CSDA
2007
99views more  CSDA 2007»
14 years 11 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
MP
2006
84views more  MP 2006»
14 years 11 months ago
On the behavior of the homogeneous self-dual model for conic convex optimization
Abstract. There is a natural norm associated with a starting point of the homogeneous selfdual (HSD) embedding model for conic convex optimization. In this norm two measures of the...
Robert M. Freund