131 search results - page 16 / 27 » Mining Data Streams under Block Evolution |
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
The processes by which communities come together, attract new members, and develop over time is a central research issue in the social sciences -- political movements, professiona...
KDD
2009
ACM
15 years 2 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
IMC
2005
ACM
15 years 3 months ago
2005
ACM
Network “telescopes” that record packets sent to unused blocks of Internet address space have emerged as an important tool for observing Internet-scale events such as the spre...
TKDE
2008
14 years 9 months ago
2008
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...