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VLDB
2009
ACM
182views Database» more  VLDB 2009»
14 years 7 months ago
Guessing the extreme values in a data set: a Bayesian method and its applications
For a largenumber of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smallest)...
Mingxi Wu, Chris Jermaine
KDD
1995
ACM
104views Data Mining» more  KDD 1995»
13 years 11 months ago
Using Rough Sets as Tools for Knowledge Discovery
An attribute-oriented rough set method for knowledgediscovery in databases is described. Themethodis based on information generalization, whichexaminesthe data at various levels o...
Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Ni...
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
13 years 9 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge
ASPDAC
2009
ACM
133views Hardware» more  ASPDAC 2009»
13 years 8 months ago
A combined analytical and simulation-based model for performance evaluation of a reconfigurable instruction set processor
Performance evaluation is a serious challenge in designing or optimizing reconfigurable instruction set processors. The conventional approaches based on synthesis and simulations a...
Farhad Mehdipour, Hamid Noori, Bahman Javadi, Hiro...
FSS
2007
82views more  FSS 2007»
13 years 7 months ago
An empirical test of some measurement-theoretic axioms for fuzzy sets
In the previous years some authors have been elaborating on the measurementtheoretic foundations of fuzzy set theory. A well-known problem in this approach is the difficult applic...
C. Desimpelaere, Thierry Marchant