145 search results - page 2 / 29 » Mining discriminative items in multiple data streams |
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
ICDM
2005
IEEE
13 years 11 months ago
2005
IEEE
Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for biddi...
VLDB
2010
ACM
13 years 3 months ago
2010
ACM
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
DIS
2004
Springer
13 years 10 months ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
ICDE
2005
IEEE
14 years 6 months ago
2005
IEEE
We consider the problem of maintaining frequency counts for items occurring frequently in the union of multiple distributed data streams. Na?ive methods of combining approximate f...