214 search results - page 2 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
ISCI
2008
13 years 4 months ago
2008
The use of frequent itemsets has been limited by the high computational cost as well as the large number of resulting itemsets. In many real-world scenarios, however, it is often ...
IEAAIE
2009
Springer
13 years 11 months ago
2009
Springer
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Probabilistic frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied to standard "certain&quo...
IDA
2011
Springer
12 years 12 months ago
2011
Springer
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
ICDE
2001
IEEE
14 years 6 months ago
2001
IEEE
We present a new algorithm for mining maximal frequent itemsets from a transactional database. Our algorithm is especially efficient when the itemsets in the database are very lon...