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JASIS
2000
143views more  JASIS 2000»
13 years 7 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
DASFAA
2009
IEEE
156views Database» more  DASFAA 2009»
13 years 11 months ago
Knowledge Discovery over the Deep Web, Semantic Web and XML
Abstract. In this tutorial we provide an insight into Web Mining, i.e., discovering knowledge from the World Wide Web, especially with reference to the latest developments in Web t...
Aparna S. Varde, Fabian M. Suchanek, Richi Nayak, ...
NLDB
2005
Springer
14 years 1 months ago
Combining Biological Databases and Text Mining to Support New Bioinformatics Applications
Abstract. A large amount of biological knowledge today is only available from full-text research papers. Since neither manual database curators nor users can keep up with the rapid...
René Witte, Christopher J. O. Baker
DAWAK
2005
Springer
14 years 1 months ago
Processing Sequential Patterns in Relational Databases
Database integration of data mining has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specia...
Xuequn Shang, Kai-Uwe Sattler
SAC
2008
ACM
13 years 7 months ago
Aggregation languages for moving object and places of interest
We address aggregate queries over GIS data and moving object data, where non-spatial information is stored in a data warehouse. We propose a formal data model and query language t...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...