279 search results - page 3 / 56 » Methods for finding frequent items in data streams |
MLDM
2008
Springer
13 years 6 months ago
2008
Springer
Monitoring frequently occuring items is a recurring task in a variety of applications. Although a number of solutions have been proposed there has been few to address the problem i...
KDD
2010
ACM
13 years 10 months ago
2010
ACM
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
ADC
2003
Springer
14 years 4 days ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
CIKM
2003
Springer
14 years 3 days ago
2003
Springer