583 search results - page 33 / 117 » Mining evolving data streams for frequent patterns |
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
PAKDD
2010
ACM
15 years 2 months ago
2010
ACM
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
There is a considerable body of work on sequence mining of Web Log Data We are using One Pass frequent Episode discovery (or FED) algorithm, takes a different approach than the tr...
KDD
2005
ACM
15 years 10 months ago
2005
ACM
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
DMIN
2006
14 years 11 months ago
2006
In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...