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RSFDGRC
2005
Springer
122views Data Mining» more  RSFDGRC 2005»
15 years 11 months ago
Ordered Belief Fusion in Possibilistic Logic
Abstract. In this paper, we propose a logical framework for reasoning about uncertain belief fusion. The framework is a combination of multi-agent epistemic logic and possibilistic...
Churn-Jung Liau
RSFDGRC
2005
Springer
127views Data Mining» more  RSFDGRC 2005»
15 years 11 months ago
Hierarchical Information Maps
We discuss the problems of spatio-temporal reasoning in the context of hierarchical information maps and approximate reasoning networks (AR networks). Hierarchical information maps...
Andrzej Skowron, Piotr Synak
VLDB
2005
ACM
79views Database» more  VLDB 2005»
15 years 11 months ago
General Purpose Database Summarization
In this paper, a message-oriented architecture for large database summarization is presented. The summarization system takes a database table as input and produces a reduced versi...
Régis Saint-Paul, Guillaume Raschia, Noured...
CINQ
2004
Springer
125views Database» more  CINQ 2004»
15 years 11 months ago
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...
Roberto J. Bayardo
ECAI
2004
Springer
15 years 11 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
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