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IAT
2009
IEEE
13 years 5 months ago
Facilitating Active Multidimensional Association Mining with User Preference Ontology
Multidimensional association mining from data warehouse has become a knowledge discovery paradigm because it provides more specific conditional settings for target mining data, th...
Chin-Ang Wu, Wen-Yang Lin, Chuan-Chun Wu
SPAA
1997
ACM
13 years 12 months ago
A Localized Algorithm for Parallel Association Mining
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
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, ...
IJACTAICIT
2010
159views more  IJACTAICIT 2010»
13 years 5 months ago
Improving Semantic Matching of Grid Resources Using Refined Ontology with Complement Class
Amidst the proliferation of different resources available on the Grid, today, it is vital to optimally discover the appropriate resource from amongst a repository of the resources...
Ami T. Choksi, Devesh Jinwala
DEXA
2008
Springer
123views Database» more  DEXA 2008»
13 years 9 months ago
Emerging Pattern Based Classification in Relational Data Mining
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
Michelangelo Ceci, Annalisa Appice, Donato Malerba