46 search results - page 4 / 10 » Discovering of Frequent Itemsets with CP-mine Algorithm |
CORR
2010
Springer
14 years 7 months ago
2010
Springer
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...
FIMI
2003
14 years 11 months ago
2003
We present a depth-first algorithm, PatriciaMine, that discovers all frequent itemsets in a dataset, for a given support threshold. The algorithm is main-memory based and employs...
KDD
2001
ACM
15 years 10 months ago
2001
ACM
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
FIMI
2004
14 years 11 months ago
2004
In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which ...