4085 search results - page 289 / 817 » Benchmarking Data Mining Algorithms |
111
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SSDBM
2008
IEEE
15 years 10 months ago
2008
IEEE
In order to establish consolidated standards in novel data mining areas, newly proposed algorithms need to be evaluated thoroughly. Many publications compare a new proposition – ...
173
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KDD
2008
ACM
16 years 4 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
329
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ICDE
1999
IEEE
16 years 5 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
130
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ICDM
2006
IEEE
15 years 10 months ago
2006
IEEE
Free tree, as a special graph which is connected, undirected and acyclic, is extensively used in domains such as computational biology, pattern recognition, computer networks, XML...
148
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CIKM
2004
Springer
15 years 9 months ago
2004
Springer
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...