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» Mining Quantitative Associations in Large Database
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 10 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
KDD
1998
ACM
148views Data Mining» more  KDD 1998»
14 years 2 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
BMCBI
2006
167views more  BMCBI 2006»
13 years 10 months ago
The bovine QTL viewer: a web accessible database of bovine Quantitative Trait Loci
Background: Many important agricultural traits such as weight gain, milk fat content and intramuscular fat (marbling) in cattle are quantitative traits. Most of the information on...
Pavana Polineni, Prathyusha Aragonda, Suresh R. Xa...
ICDM
2006
IEEE
115views Data Mining» more  ICDM 2006»
14 years 3 months ago
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules
It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficien...
Yuefeng Li, Wanzhong Yang, Yue Xu
DEXA
2004
Springer
153views Database» more  DEXA 2004»
14 years 3 months ago
A New Approach of Eliminating Redundant Association Rules
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith