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» Mining RDF Metadata for Generalized Association Rules
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KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 8 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
13 years 12 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...
DASFAA
2004
IEEE
164views Database» more  DASFAA 2004»
13 years 11 months ago
On Addressing Efficiency Concerns in Privacy-Preserving Mining
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. To encourage users to...
Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa
WWW
2003
ACM
14 years 8 months ago
On deep annotation
The success of the Semantic Web crucially depends on the easy creation, integration and use of semantic data. For this purpose, we consider an integration scenario that defies cor...
Siegfried Handschuh, Steffen Staab, Raphael Volz
SAC
2010
ACM
14 years 2 months ago
Mining temporal relationships among categories
Temporal text mining deals with discovering temporal patterns in text over a period of time. A Theme Evolution Graph (TEG) is used to visualize when new themes are created and how...
Saket S. R. Mengle, Nazli Goharian