80 search results - page 6 / 16 » Approximate mining of frequent patterns on streams |
RCIS
2010
13 years 5 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
ICDM
2002
IEEE
14 years 13 days ago
2002
IEEE
Frequent pattern mining has been studied extensively. However, the effectiveness and efficiency of this mining is often limited, since the number of frequent patterns generated i...
IEAAIE
2009
Springer
14 years 2 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...
ICDM
2002
IEEE
14 years 13 days ago
2002
IEEE
In this paper, we study an online data mining problem from streams of semi-structured data such as XML data. Modeling semi-structured data and patterns as labeled ordered trees, w...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...