425 search results - page 40 / 85 » Mining high-speed data streams |
122
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PKDD
2004
Springer
15 years 7 months ago
2004
Springer
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
107
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ICDM
2006
IEEE
15 years 8 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 ...
118
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KDD
2005
ACM
15 years 7 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 (...
ICDM
2007
IEEE
15 years 8 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...
162
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KDD
2007
ACM
16 years 2 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...