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HAIS
2009
Springer
13 years 8 months ago
Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness
Abstract. Data Mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binaryvalued transactions, however the d...
Nicolò Flugy Papè, Jesús Alca...
FUZZIEEE
2007
IEEE
13 years 11 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...
CEC
2007
IEEE
13 years 9 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
ICDE
2001
IEEE
141views Database» more  ICDE 2001»
14 years 6 months ago
TAR: Temporal Association Rules on Evolving Numerical Attributes
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
BMCBI
2010
162views more  BMCBI 2010»
13 years 5 months ago
Moara: a Java library for extracting and normalizing gene and protein mentions
Background: Gene/protein recognition and normalization are important preliminary steps for many biological text mining tasks, such as information retrieval, protein-protein intera...
Mariana L. Neves, José María Carazo,...