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» Mining interesting sets and rules in relational databases
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ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
15 years 4 months ago
Resolving Identity Uncertainty with Learned Random Walks
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Ted Sandler, Lyle H. Ungar, Koby Crammer
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
15 years 3 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
15 years 10 months 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
GFKL
2006
Springer
75views Data Mining» more  GFKL 2006»
15 years 1 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...
BMCBI
2010
129views more  BMCBI 2010»
14 years 10 months ago
LAITOR - Literature Assistant for Identification of Terms co-Occurrences and Relationships
Background: Biological knowledge is represented in scientific literature that often describes the function of genes/ proteins (bioentities) in terms of their interactions (biointe...
Adriano Barbosa-Silva, Theodoros G. Soldatos, Ivan...