186 search results - page 12 / 38 » A Wireless Data Stream Mining Model |
CIKM
2004
Springer
14 years 1 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...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
While there has been a lot of work on finding frequent itemsets in transaction data streams, none of these solve the problem of finding similar pairs according to standard similar...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
JAR
2008
13 years 7 months ago
2008
The spreading of multicast technology enables the development of group communication and so dealing with digital streams becomes more and more common over the Internet. Given the f...
KDD
2005
ACM
14 years 1 months ago
2005
ACM
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...