528 search results - page 43 / 106 » Mining data streams: a review |
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
CIKM
2004
Springer
14 years 2 months ago
2004
Springer
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
IDA
2007
Springer
13 years 8 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...
IDEAS
2000
IEEE
14 years 1 months ago
2000
IEEE
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
JDWM
2007
13 years 8 months ago
2007
Association rule mining is a popular task that involves the discovery of co-occurences of items in transaction databases. Several extensions of the traditional association rule mi...