7751 search results - page 109 / 1551 » Data streams: algorithms and applications |
192
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KDD
2007
ACM
16 years 6 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
257
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DBSEC
2011
14 years 10 months ago
2011
Abstract. With sensors and mobile devices becoming ubiquitous, situation monitoring applications are becoming a reality. Data Stream Management Systems (DSMSs) have been proposed t...
164
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CIS
2004
Springer
15 years 11 months ago
2004
Springer
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
144
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HOTOS
1999
IEEE
15 years 10 months ago
1999
IEEE
Abstract--End-to-end connectivity is growing increasingly diverse, with orders of magnitude differences in characteristics throughout the network. At the same time, most applicatio...
306
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ICDE
2008
IEEE
16 years 7 months ago
2008
IEEE
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...