147 search results - page 6 / 30 » Constraint-Based Rule Mining in Large, Dense Databases |
103
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SBACPAD
2003
IEEE
15 years 3 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
104
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SAC
2011
ACM
14 years 23 days ago
2011
ACM
Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules a...
KDD
1997
ACM
15 years 2 months ago
1997
ACM
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
WWW
2005
ACM
15 years 10 months ago
2005
ACM
In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently. In XAR-Miner, raw data in the XML document are first preprocessed to transf...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...