287 search results - page 30 / 58 » Algorithms for time series knowledge mining |
120
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
138
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PAKDD
2000
ACM
15 years 7 months ago
2000
ACM
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
112
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KDD
1995
ACM
15 years 7 months ago
1995
ACM
The quest to nd models usefully characterizing data is a process central to the scienti c method, and has been carried out on many fronts. Researchers from an expanding number of ...
129
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DASFAA
2006
IEEE
15 years 10 months ago
2006
IEEE
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different type...
138
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EDBT
2000
ACM
15 years 7 months ago
2000
ACM
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...