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ESWA
2006
139views more  ESWA 2006»
13 years 8 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
SIGMOD
2006
ACM
148views Database» more  SIGMOD 2006»
14 years 8 months ago
Research issues in data stream association rule mining
There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in t...
Nan Jiang, Le Gruenwald
KDD
2000
ACM
118views Data Mining» more  KDD 2000»
13 years 11 months ago
Generating non-redundant association rules
The traditional association rule mining framework produces many redundant rules. The extent of redundancy is a lot larger than previously suspected. We present a new framework for...
Mohammed Javeed Zaki
HICSS
2000
IEEE
150views Biometrics» more  HICSS 2000»
14 years 11 days ago
An Application of Text Mining: Bibliographic Navigator Powered by Extended Association Rules
In this paper, we discuss the implementation and performance of our developed bibliographic navigator with the text mining. We categorize the different attributes and extend the m...
Minoru Kawahara, Hiroyuki Kawano
KDD
1998
ACM
131views Data Mining» more  KDD 1998»
14 years 5 days ago
Interestingness-Based Interval Merger for Numeric Association Rules
We present an algorithm for mining association rules from relational tables containing numeric and categorical attributes. The approach is to merge adjacent intervals of numeric v...
Ke Wang, Soon Hock William Tay, Bing Liu