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CIKM
2006
Springer
13 years 11 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
CORR
2010
Springer
279views Education» more  CORR 2010»
13 years 7 months ago
Mining Frequent Itemsets Using Genetic Algorithm
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, ...
IDA
2009
Springer
13 years 5 months ago
Efficient Vertical Mining of Frequent Closures and Generators
Abstract. The effective construction of many association rule bases requires the computation of both frequent closed and frequent generator itemsets (FCIs/FGs). However, only few m...
Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, R...
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
13 years 5 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
ICTAI
2007
IEEE
14 years 2 months ago
Exploratory Quantitative Contrast Set Mining: A Discretization Approach
Contrast sets have been shown to be a useful tool for describing differences between groups. A contrast set is a set of association rules for which the antecedents describe distin...
Mondelle Simeon, Robert J. Hilderman