169 search results - page 14 / 34 » Mining Frequent Itemsets using Patricia Tries |
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
IDA
2008
Springer
13 years 7 months ago
2008
Springer
We study the problem of finding frequent items in a continuous stream of itemsets. A new frequency measure is introduced, based on a flexible window length. For a given item, its ...
ISCIS
2004
Springer
14 years 23 days ago
2004
Springer
One of the classic data mining problems is discovery of frequent itemsets. This problem particularly attracts database community as it resembles traditional database querying. In t...
CINQ
2004
Springer
14 years 24 days ago
2004
Springer
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
AICCSA
2008
IEEE
13 years 7 months ago
2008
IEEE
Mining fault tolerant (FT) frequent patterns from transactional datasets are very complex than mining all frequent patterns (itemsets), in terms of both search space exploration a...