12863 search results - page 777 / 2573 » Dynamic Data Mining |
216
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SIGMOD
2001
ACM
16 years 7 months ago
2001
ACM
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
166
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ICDM
2009
IEEE
16 years 2 months ago
2009
IEEE
In this paper we demonstrate a practical approach to interaction detection on real data describing the abundance of different species of birds in the prairies east of the souther...
199
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PAKDD
2007
ACM
16 years 1 months ago
2007
ACM
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
191
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ICDM
2005
IEEE
16 years 1 months ago
2005
IEEE
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
189
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KDD
1999
ACM
15 years 11 months ago
1999
ACM
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...