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» Relational Methodology for Data Mining and Knowledge Discove...
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WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
15 years 9 months ago
Tagging Human Knowledge
A fundamental premise of tagging systems is that regular users can organize large collections for browsing and other tasks using uncontrolled vocabularies. Until now, that premise...
Paul Heymann, Andreas Paepcke, Hector Garcia-Molin...
KDD
1998
ACM
148views Data Mining» more  KDD 1998»
15 years 4 months ago
Group Bitmap Index: A Structure for Association Rules Retrieval
Discovery of association rules from large databases of item sets is an important data mining problem. Association rules are usually stored in relational databases for future use i...
Tadeusz Morzy, Maciej Zakrzewicz
IADIS
2004
15 years 1 months ago
OLAP in enterprise decision modelling
This paper describes the application of online analytical processing (OLAP) in the field of data mining. We discuss knowledge discovery in enterprise databases as well as data war...
Perihan Kilimci, Bora Gökçe, Oya Kalip...
ECML
2007
Springer
15 years 6 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
DMIN
2006
132views Data Mining» more  DMIN 2006»
15 years 1 months ago
An Overview of Associative Classifiers
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...
Yanmin Sun, Andrew K. C. Wong, Yang Wang 0007