98 search results - page 10 / 20 » Parallel Mining of Maximal Frequent Itemsets from Databases |
125
Voted
KDD
2000
ACM
15 years 3 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...
103
Voted
KDD
2006
ACM
16 years 1 days 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...
106
Voted
CORR
2010
Springer
14 years 9 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...
120
Voted
DKE
2008
14 years 11 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...
102
Voted
KDD
2003
ACM
16 years 23 hour 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...