Feature selection and enhanced krill herd algorithm for text document clustering:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2019]
|
| Schriftenreihe: | Studies in computational intelligence
Volume 816 |
| Schlagworte: | |
| Beschreibung: | xxvii, 165 Seiten Illustrationen, Diagramme |
| ISBN: | 9783030106737 |
| ISSN: | 1860-949X |
Internformat
MARC
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| 245 | 1 | 0 | |a Feature selection and enhanced krill herd algorithm for text document clustering |c Laith Mohammad Qasim Abualigah |
| 264 | 1 | |a Cham |b Springer |c [2019] | |
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| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-10674-4 |
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Datensatz im Suchindex
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| author | Abualigah, Laith Mohammad Qasim |
| author_GND | (DE-588)1176162497 |
| author_facet | Abualigah, Laith Mohammad Qasim |
| author_role | aut |
| author_sort | Abualigah, Laith Mohammad Qasim |
| author_variant | l m q a lmq lmqa |
| building | Verbundindex |
| bvnumber | BV045424460 |
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| ctrlnum | (OCoLC)1083890053 (DE-599)BVBBV045424460 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV045424460 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:17:46Z |
| institution | BVB |
| isbn | 9783030106737 |
| issn | 1860-949X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030810290 |
| oclc_num | 1083890053 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | xxvii, 165 Seiten Illustrationen, Diagramme |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | Abualigah, Laith Mohammad Qasim Verfasser (DE-588)1176162497 aut Feature selection and enhanced krill herd algorithm for text document clustering Laith Mohammad Qasim Abualigah Cham Springer [2019] © 2019 xxvii, 165 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence Volume 816 1860-949X Computational Intelligence Artificial Intelligence Engineering Artificial intelligence Erscheint auch als Online-Ausgabe 978-3-030-10674-4 Studies in computational intelligence Volume 816 (DE-604)BV020822171 816 |
| spellingShingle | Abualigah, Laith Mohammad Qasim Feature selection and enhanced krill herd algorithm for text document clustering Studies in computational intelligence Computational Intelligence Artificial Intelligence Engineering Artificial intelligence |
| title | Feature selection and enhanced krill herd algorithm for text document clustering |
| title_auth | Feature selection and enhanced krill herd algorithm for text document clustering |
| title_exact_search | Feature selection and enhanced krill herd algorithm for text document clustering |
| title_full | Feature selection and enhanced krill herd algorithm for text document clustering Laith Mohammad Qasim Abualigah |
| title_fullStr | Feature selection and enhanced krill herd algorithm for text document clustering Laith Mohammad Qasim Abualigah |
| title_full_unstemmed | Feature selection and enhanced krill herd algorithm for text document clustering Laith Mohammad Qasim Abualigah |
| title_short | Feature selection and enhanced krill herd algorithm for text document clustering |
| title_sort | feature selection and enhanced krill herd algorithm for text document clustering |
| topic | Computational Intelligence Artificial Intelligence Engineering Artificial intelligence |
| topic_facet | Computational Intelligence Artificial Intelligence Engineering Artificial intelligence |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT abualigahlaithmohammadqasim featureselectionandenhancedkrillherdalgorithmfortextdocumentclustering |