352 search results - page 45 / 71 » Non-derivable itemset mining |
PREMI
2005
Springer
14 years 1 months ago
2005
Springer
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Template...
PAKDD
2007
ACM
14 years 1 months ago
2007
ACM
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
IEAAIE
2000
Springer
13 years 11 months ago
2000
Springer
Business information received from advanced data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. The use of tradition...
DAWAK
2006
Springer
13 years 9 months ago
2006
Springer
Sequential pattern mining aims to find frequent patterns (guarded by a minimum support) in a database of sequences. As the support decreases the number of sequential patterns will...
ICDE
2005
IEEE
14 years 9 months ago
2005
IEEE
To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of individual data records have been proposed recently. In this paper, ...