924 search results - page 41 / 185 » Active Mining of Data Streams |
ICDM
2006
IEEE
14 years 4 months ago
2006
IEEE
Many previous works of data mining user queries in Peer-to-Peer systems focused their attention on the distribution of query contents. However, few has been done towards a better ...
KDD
2005
ACM
14 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 (...
ICOST
2011
Springer
13 years 1 months ago
2011
Springer
The increasing aging population has inspired many machine learning researchers to find innovative solutions for assisted living. A problem often encountered in assisted living set...
ICDM
2007
IEEE
14 years 4 months ago
2007
IEEE
A growing number of applications have become reliant or can benefit from monitoring data streams. Data streams are potentially unbounded in size, hence, Data Stream Management Sy...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...