424 search results - page 36 / 85 » Mining data streams with periodically changing distributions |
KDD
2008
ACM
14 years 9 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...
KDD
2000
ACM
14 years 11 days ago
2000
ACM
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
IAT
2009
IEEE
13 years 6 months ago
2009
IEEE
Multidimensional association mining from data warehouse has become a knowledge discovery paradigm because it provides more specific conditional settings for target mining data, th...
PODC
2006
ACM
14 years 2 months ago
2006
ACM
We study the problem of maintaining sketches of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in w...
IDA
2011
Springer
13 years 3 months ago
2011
Springer
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...