98 search results - page 10 / 20 » Parallel Mining of Maximal Frequent Itemsets from Databases |
KDD
2000
ACM
13 years 11 months ago
2000
ACM
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...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
CORR
2010
Springer
13 years 5 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...
DKE
2008
13 years 7 months ago
2008
In this paper, we are proposing a new algorithmic approach for sanitizing raw data from sensitive knowledge in the context of mining of association rules. The new approach (a) rel...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...