92 search results - page 7 / 19 » Cost-Efficient Mining Techniques for Data Streams |
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
DASFAA
2007
IEEE
14 years 2 months ago
2007
IEEE
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
KDD
2007
ACM
14 years 9 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...
AUSDM
2007
Springer
14 years 2 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
KDD
2007
ACM
14 years 9 months ago
2007
ACM
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...