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» Approximate data mining in very large relational data
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KDD
2007
ACM
143views Data Mining» more  KDD 2007»
16 years 2 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...
Osmar R. Zaïane, Jiyang Chen, Randy Goebel
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 2 months ago
Characteristic relational patterns
Research in relational data mining has two major directions: finding global models of a relational database and the discovery of local relational patterns within a database. While...
Arne Koopman, Arno Siebes
VLDB
2004
ACM
94views Database» more  VLDB 2004»
15 years 7 months ago
Whither Data Mining?
The last decade has witnessed tremendous advances in data mining. We take a retrospective look at these developments, focusing on association rules discovery, and discuss the chal...
Rakesh Agrawal, Ramakrishnan Srikant
79
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ACSC
2005
IEEE
15 years 7 months ago
A Delivery Framework for Health Data Mining and Analytics
The iHealth Explorer tool, developed by CSIRO and DoHA, delivers web services type data mining and analytic facilities over a web interface, providing desktop access to sophistica...
Damien McAullay, Graham J. Williams, Jie Chen, Hui...
PKDD
2005
Springer
89views Data Mining» more  PKDD 2005»
15 years 7 months ago
Numbers in Multi-relational Data Mining
Numeric data has traditionally received little attention in the field of Multi-Relational Data Mining (MRDM). It is often assumed that numeric data can simply be turned into symbol...
Arno J. Knobbe, Eric K. Y. Ho