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FUZZIEEE
2007
IEEE
14 years 2 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...
ESWA
2006
139views more  ESWA 2006»
13 years 8 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
DOLAP
2005
ACM
13 years 10 months ago
Towards a spatial multidimensional model
Data warehouses and OLAP systems help to interactively analyze huge volume of data. This data, extracted from transactional databases, frequently contains spatial information whic...
Sandro Bimonte, Anne Tchounikine, Maryvonne Miquel
INTERACTION
2009
ACM
14 years 3 months ago
Temporal-spatial association analysis of ocean salinity and temperature variations
Ocean circulation plays an important role in global climate change. In an effort to monitor ocean circulation an infrastructure of more than 3,000 buoys have been deployed in the ...
Yo-Ping Huang, Jung-Shian Jau, Frode Eika Sandnes
CINQ
2004
Springer
225views Database» more  CINQ 2004»
14 years 2 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci