200 search results - page 23 / 40 » An Algorithm for In-Core Frequent Itemset Mining on Streamin... |
FIMI
2003
13 years 9 months ago
2003
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
TIME
2008
IEEE
14 years 2 months ago
2008
IEEE
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
VLDB
2010
ACM
13 years 6 months ago
2010
ACM
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
IS
2007
13 years 7 months ago
2007
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
WWW
2006
ACM
14 years 8 months ago
2006
ACM
In this paper, we proposed an online algorithm, called FQT-Stream (Frequent Query Trees of Streams), to mine the set of all frequent tree patterns over a continuous XML data strea...