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GI
1998
Springer
15 years 4 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
EAAI
2007
93views more  EAAI 2007»
14 years 11 months ago
Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support
: In knowledge discovery and data mining many measures of interestingness have been proposed in order to measure the relevance and utility of the discovered patterns. Among these m...
Izabela Brzezinska, Salvatore Greco, Roman Slowins...
AMINING
2003
Springer
245views Data Mining» more  AMINING 2003»
15 years 5 months ago
Spiral Mining Using Attributes from 3D Molecular Structures
Active responses from experts play an essential role in the knowledge discovery of SAR (structure activity relationships) from drug data. Experts often think of hypotheses, and the...
Takashi Okada, Masumi Yamakawa, Hirotaka Niitsuma
PAAPP
2007
109views more  PAAPP 2007»
14 years 11 months ago
Relation rule mining
\Web users are nowadays confronted with the huge variety of available information sources whose content is not targeted at any specific group or layer. Recommendation systems aim...
Mehdi Adda, Rokia Missaoui, Petko Valtchev
PST
2008
15 years 1 months ago
Utility of Knowledge Extracted from Unsanitized Data when Applied to Sanitized Data
Knowledge discovery systems extract knowledge from data that can be used for making prediction about incomplete data items. Utility is a measure of the usefulness of the discovere...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...