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DKE
2008
83views more  DKE 2008»
13 years 7 months ago
Mining fuzzy periodic association rules
We develop techniques for discovering patterns with periodicity in this work. Patterns with periodicity are those that occur at regular time intervals, and therefore there are two...
Wan-Jui Lee, Jung-Yi Jiang, Shie-Jue Lee
VLDB
1998
ACM
142views Database» more  VLDB 1998»
13 years 11 months ago
On the Discovery of Interesting Patterns in Association Rules
Many decision support systems, which utilize association rules for discovering interesting patterns, require the discovery of association rules that vary over time. Such rules des...
Sridhar Ramaswamy, Sameer Mahajan, Abraham Silbers...
IIS
2001
13 years 9 months ago
Discovering Multi-head Attributional Rules in Large Databases
: A method for discovering multi-head attributional rules in large databases is presented and illustrated by results from an implemented program. Attributional rules (a.k.a. attrib...
Jerzy Clowinski, Ryszard S. Michalski
ESWA
2006
139views more  ESWA 2006»
13 years 7 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
ACL
2011
12 years 11 months ago
Discovering Sociolinguistic Associations with Structured Sparsity
We present a method to discover robust and interpretable sociolinguistic associations from raw geotagged text data. Using aggregate demographic statistics about the authors’ geo...
Jacob Eisenstein, Noah A. Smith, Eric P. Xing