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TEC
2008
104views more  TEC 2008»
15 years 6 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
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 data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
TLCA
2005
Springer
16 years 4 days ago
Privacy in Data Mining Using Formal Methods
There is growing public concern about personal data collected by both private and public sectors. People have very little control over what kinds of data are stored and how such da...
Stan Matwin, Amy P. Felty, István T. Hern&a...
ISMDA
2005
Springer
16 years 5 days ago
Foreseeing Promising Bio-medical Findings for Effective Applications of Data Mining
Abstract. The increasing availability of automated data collection tools, database technologies and Information and Communication Technologies in biomedicine and health care have l...
Stefano Bonacina, Marco Masseroli, Francesco Pinci...
ESWS
2008
Springer
15 years 8 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...
BMCBI
2011
14 years 10 months ago
SeqGene: a comprehensive software solution for mining exome- and transcriptome- sequencing data
Background: The popularity of massively parallel exome and transcriptome sequencing projects demands new data mining tools with a comprehensive set of features to support a wide r...
Xutao Deng