131 search results - page 12 / 27 » Mining Data Streams under Block Evolution |
KDD
2005
ACM
15 years 3 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 (...
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
SIGMOD
2000
ACM
15 years 2 months ago
2000
ACM
This paper proposes a scheme for scheduling disk requests that takes advantage of the ability of high-level functions to operate directly at individual disk drives. We show that s...
HIPC
2005
Springer
15 years 3 months ago
2005
Springer
Several challenging new applications demand the ability to do data mining on resource constrained devices. One such application is that of monitoring physiological data streams ob...
SDM
2009
SIAM
15 years 7 months ago
2009
SIAM
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...