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Mining features for sequence classification
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Authors:
Neal Lesh
MERL - Mitsubishi Electric Research Laboratory, 201 Broadway, 8th Floor, Cambridge, MA
Mohammed J. Zaki
Computer Science Dept., Rensselaer Polytechnic Institute, Troy, NY
Mitsunori Ogihara
Computer Science Dept., U. of Rochester, Rochester, NY
Published in:
· Proceeding
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Pages 342-346
ACM
New York, NY
, USA
©1999
table of contents
ISBN:1-58113-143-7
doi>
10.1145/312129.312275
1999 Article
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algorithms
classifier design and evaluation
data mining
design
experimentation
feature evaluation and selection
management
measurement
performance
theory
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