464 search results - page 30 / 93 » Frequent pattern mining for kernel trace data |
RCIS
2010
13 years 8 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,...
KDD
2010
ACM
14 years 1 months ago
2010
ACM
Concise representations of frequent itemsets sacrifice readability and direct interpretability by a data analyst of the concise patterns extracted. In this paper, we introduce an...
ICDM
2002
IEEE
14 years 2 months 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...
CINQ
2004
Springer
14 years 1 months ago
2004
Springer
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
SBACPAD
2003
IEEE
14 years 3 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...