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» Mining spatial association rules in image databases
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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 5 days ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
HIPC
1999
Springer
15 years 4 months ago
High Performance Data Mining
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Vipin Kumar, Jaideep Srivastava
KDD
2004
ACM
171views Data Mining» more  KDD 2004»
16 years 5 days ago
Integrating Web Conceptual Modeling and Web Usage Mining
We present a case study about the application of the inductive database approach to the analysis of Web logs. We consider rich XML Web logs ? called conceptual logs ? that are gen...
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Robe...
CAEPIA
2003
Springer
15 years 5 months ago
Text Mining Using the Hierarchical Syntactical Structure of Documents
One of the most important tasks for determining association rules consists of calculating all the maximal frequent itemsets. Specifically, some methods to obtain these itemsets hav...
Roxana Dánger, José Ruiz-Shulcloper,...
GFKL
2006
Springer
75views Data Mining» more  GFKL 2006»
15 years 3 months ago
Classification of Contradiction Patterns
Abstract. Solving conflicts between overlapping databases requires an understanding of the reasons that lead to the inconsistencies. Provided that conflicts do not occur randomly b...
Heiko Müller, Ulf Leser, Johann Christoph Fre...