259 search results - page 3 / 52 » Mining frequent itemsets in time-varying data streams |
JIIS
2007
13 years 5 months ago
2007
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
PKDD
2004
Springer
13 years 11 months ago
2004
Springer
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
ICDM
2005
IEEE
13 years 11 months ago
2005
IEEE
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
DAWAK
2006
Springer
13 years 9 months ago
2006
Springer
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
IDA
2007
Springer
13 years 5 months ago
2007
Springer
Abstract. This paper introduces a new algorithm for approximate mining of frequent patterns from streams of transactions using a limited amount of memory. The proposed algorithm co...