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ESANN
2004
13 years 6 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
DATAMINE
2002
147views more  DATAMINE 2002»
13 years 5 months ago
Discretization: An Enabling Technique
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more concise to represent and specify, easier to use and ...
Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan...
KBSE
2000
IEEE
13 years 9 months ago
Simultaneous Checking of Completeness and Ground Confluence
c specifications provide a powerful method for the specification of abstract data types in programming languages and software systems. Completeness and ground confluence are fundam...
Adel Bouhoula
CINQ
2004
Springer
225views Database» more  CINQ 2004»
13 years 10 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
BMCBI
2006
195views more  BMCBI 2006»
13 years 5 months ago
CAFTAN: a tool for fast mapping, and quality assessment of cDNAs
Background: The German cDNA Consortium has been cloning full length cDNAs and continued with their exploitation in protein localization experiments and cellular assays. However, t...
Coral del Val, Vladimir Yurjevich Kuryshev, Karl-H...