Sciweavers

1998 search results - page 39 / 400
» Basic Association Rules
Sort
View
CEC
2007
IEEE
14 years 21 days ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
14 years 13 days ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 10 months ago
Generalized Closed Itemsets for Association Rule Mining
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
Vikram Pudi, Jayant R. Haritsa
SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
14 years 26 days ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar
CIDM
2009
IEEE
14 years 3 months ago
An improved multiple minimum support based approach to mine rare association rules
Abstract—In this paper we have proposed an improved approach to extract rare association rules. Rare association rules are the association rules containing rare items. Rare items...
R. Uday Kiran, P. Krishna Reddy