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» Efficient Mining of Generalized Negative Association Rules
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CG
2007
Springer
13 years 7 months ago
Visual text mining using association rules
In many situations, individuals or groups of individuals are faced with the need to examine sets of documents to achieve understanding of their structure and to locate relevant in...
Alneu de Andrade Lopes, Roberto Pinho, Fernando Vi...
SIGMOD
2004
ACM
196views Database» more  SIGMOD 2004»
14 years 7 months ago
FARMER: Finding Interesting Rule Groups in Microarray Datasets
Microarray datasets typically contain large number of columns but small number of rows. Association rules have been proved to be useful in analyzing such datasets. However, most e...
Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Ji...
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Mining Quantitative Association Rules in Protein Sequences
Abstract. Lot of research has gone into understanding the composition and nature of proteins, still many things remain to be understood satisfactorily. It is now generally believed...
Nitin Gupta, Nitin Mangal, Kamal Tiwari, Pabitra M...
AIME
2009
Springer
14 years 2 months ago
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use
Abstract. The Regional Healthcare Agency (ASL) of Pavia has been maintaining a central data repository which stores healthcare data about the population of Pavia area. The analysis...
Stefano Concaro, Lucia Sacchi, Carlo Cerra, Pietro...
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 9 months ago
An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules
Association rule mining techniques are used to search attribute-value pairs that occur frequently together in a data set. Ordinal association rules are a particular type of associa...
Alina Campan, Gabriela Serban, Traian Marius Truta...