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» Mining association rules from imprecise ordinal data
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177
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CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 3 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
DAWAK
2001
Springer
15 years 10 months ago
A Theoretical Framework for Association Mining Based on the Boolean Retrieval Model
Data mining has been defined as the non- trivial extraction of implicit, previously unknown and potentially useful information from data. Association mining is one of the important...
Peter Bollmann-Sdorra, Aladdin Hafez, Vijay V. Rag...
ICDE
1998
IEEE
103views Database» more  ICDE 1998»
16 years 7 months ago
Online Generation of Association Rules
We have a large database consisting of sales transactions. We investigate the problem of online mining of association rules in this large database. We show how to preprocess the d...
Charu C. Aggarwal, Philip S. Yu
148
Voted
KDD
1998
ACM
147views Data Mining» more  KDD 1998»
15 years 10 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
CORR
2010
Springer
219views Education» more  CORR 2010»
15 years 6 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor