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Home > Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings > Fast k Most Similar Neighbor Classifier for Mixed Data Based on Approximating and Eliminating

Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings |
Springer Berlin Heidelberg
Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings

Fast k Most Similar Neighbor Classifier for Mixed Data Based on Approximating and Eliminating
Authors

ARI Id

1664919484019_4072381

Access

Not Available Free

Pages

697-704

DOI

10.1007/978-3-540-68125-0_66

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-68125-0_66

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64-75
76-87
88-99
100-111
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124-135
136-147
148-159
160-171
172-183
184-195
196-208
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