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PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
13 years 11 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
KDD
2007
ACM
135views Data Mining» more  KDD 2007»
14 years 5 months ago
Nestedness and segmented nestedness
Consider each row of a 0-1 dataset as the subset of the
Heikki Mannila, Evimaria Terzi
DAWAK
2004
Springer
13 years 10 months ago
Algorithms for Discovery of Frequent Superset, Rather than Frequent Subset
Abstract. In this paper, we propose a novel mining task: mining frequent superset from the database of itemsets that is useful in bioinformatics, e-learning systems, jobshop schedu...
Zhung-Xun Liao, Man-Kwan Shan
KDD
2007
ACM
249views Data Mining» more  KDD 2007»
14 years 5 months ago
The minimum consistent subset cover problem and its applications in data mining
In this paper, we introduce and study the Minimum Consistent Subset Cover (MCSC) problem. Given a finite ground set X and a constraint t, find the minimum number of consistent sub...
Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Sch...
CCS
2006
ACM
13 years 8 months ago
RoleMiner: mining roles using subset enumeration
Role engineering, the task of defining roles and associating permissions to them, is essential to realize the full benefits of the role-based access control paradigm. Essentially,...
Jaideep Vaidya, Vijayalakshmi Atluri, Janice Warne...