A new online field feature selection algorithm based on streaming data
A new online field feature selection algorithm based on streaming data
About this item
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Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
The rapid development of Internet technology derived out a massive network text data. Therefore, how to classify the massive text data efficiently has important theoretical significance and application value. In order to acquire accurate classification results, the process has been divided into two parts. In terms of text representation, this paper...
Alternative Titles
Full title
A new online field feature selection algorithm based on streaming data
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2933288193
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2933288193
Other Identifiers
ISSN
1868-5137
E-ISSN
1868-5145
DOI
10.1007/s12652-018-0959-0
