63 search results - page 4 / 13 » Finding frequent items in data streams |
KDD
2007
ACM
14 years 8 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...
PODS
2006
ACM
14 years 7 months ago
2006
ACM
Finding icebergs ? items whose frequency of occurrence is above a certain threshold ? is an important problem with a wide range of applications. Most of the existing work focuses ...
JIIS
2007
13 years 7 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...
ICDM
2005
IEEE
14 years 1 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...
CIDM
2007
IEEE
13 years 7 months ago
2007
IEEE
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...