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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 5 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 5 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 10 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
ACSC
2005
IEEE
15 years 10 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...
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PKDD
2005
Springer
89views Data Mining» more  PKDD 2005»
15 years 10 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