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CIKM
2004
Springer
16 years 1 days ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
LPNMR
2004
Springer
16 years 17 hour ago
Answer Set Programming with Clause Learning
A conflict clause represents a backtracking solver’s analysis of why a conflict occurred. This analysis can be used to further prune the search space and to direct the search h...
Jeffrey Ward, John S. Schlipf
LPNMR
2009
Springer
15 years 11 months ago
HAPLO-ASP: Haplotype Inference Using Answer Set Programming
Identifying maternal and paternal inheritance is essential to be able to find the set of genes responsible for a particular disease. However, due to technological limitations, we ...
Esra Erdem, Ozan Erdem, Ferhan Türe
EUROISI
2008
15 years 8 months ago
An Information Theory Approach to Identify Sets of Key Players
This paper presents an application of information theory to identify sets of key players in social networks. First, we define two entropy measures that we use to analyze the struct...
Daniel Ortiz Arroyo, Dil Muhammad Akbar Hussain
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
15 years 8 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