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KDD
1998
ACM
131views Data Mining» more  KDD 1998»
13 years 8 months 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
KDD
1998
ACM
148views Data Mining» more  KDD 1998»
13 years 8 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
KDD
1998
ACM
136views Data Mining» more  KDD 1998»
13 years 8 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
KDD
1998
ACM
147views Data Mining» more  KDD 1998»
13 years 8 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
PODS
1998
ACM
134views Database» more  PODS 1998»
13 years 8 months ago
A New Framework For Itemset Generation
The problem of finding association rules in a large database of sales transactions has been widely studied in the literature, We discuss some of the weaknessesof the large itemset...
Charu C. Aggarwal, Philip S. Yu
ADBIS
1998
Springer
118views Database» more  ADBIS 1998»
13 years 8 months ago
Itemset Materializing for Fast Mining of Association Rules
Mining association rules is an important data mining problem. Association rules are usually mined repeatedly in different parts of a database. Current algorithms for mining associa...
Marek Wojciechowski, Maciej Zakrzewicz
PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
13 years 8 months ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
13 years 8 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
WISE
2000
Springer
13 years 8 months ago
Online Web Mining Transactions Association Rules using Frame Metadata Model
In this paper, we introduce a frame metadata model to facilitate the continuous association rules of web transactions. A new set of association rules can be derived with the updat...
Joseph Fong, John G. Hughes, Jianhan Zhu
CIKM
2001
Springer
13 years 8 months ago
Ordinal Association Rules for Error Identification in Data Sets
A new extension of the Boolean association rules, ordinal association rules, that incorporates ordinal relationships among data items, is introduced. One use for ordinal rules is ...
Andrian Marcus, Jonathan I. Maletic, King-Ip Lin