284 search results - page 2 / 57 » Mining Frequent Itemsets in Distributed and Dynamic Database... |
DAWAK
2005
Springer
13 years 10 months ago
2005
Springer
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
HIPC
2003
Springer
13 years 10 months ago
2003
Springer
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
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...
ISCI
2007
13 years 5 months ago
2007
Standard algorithms for association rule mining are based on identification of frequent itemsets. In this paper, we study how to maintain privacy in distributed mining of frequen...