Fuzziness in information systems: how to deal with Crisp and fuzzy data in selection, classification, and summarization
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Cham]
Springer
[2016]
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| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FRO01 HTW01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (XXII, 198 Seiten, 91 illus) |
| ISBN: | 9783319425184 |
| DOI: | 10.1007/978-3-319-42518-4 |
Internformat
MARC
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Datensatz im Suchindex
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| any_adam_object | |
| author | Hudec, Miroslav |
| author_facet | Hudec, Miroslav |
| author_role | aut |
| author_sort | Hudec, Miroslav |
| author_variant | m h mh |
| building | Verbundindex |
| bvnumber | BV043831711 |
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.312 |
| dewey-search | 006.312 |
| dewey-sort | 16.312 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-319-42518-4 |
| format | Electronic eBook |
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| id | DE-604.BV043831711 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:36:16Z |
| institution | BVB |
| isbn | 9783319425184 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029242483 |
| oclc_num | 960019069 |
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| physical | 1 Online-Ressource (XXII, 198 Seiten, 91 illus) |
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| publishDate | 2016 |
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| publisher | Springer |
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| spelling | Hudec, Miroslav Verfasser aut Fuzziness in information systems how to deal with Crisp and fuzzy data in selection, classification, and summarization Miroslav Hudec [Cham] Springer [2016] 1 Online-Ressource (XXII, 198 Seiten, 91 illus) txt rdacontent c rdamedia cr rdacarrier Computer science Mathematical logic Data mining Artificial intelligence Computational intelligence Computer Science Data Mining and Knowledge Discovery Computational Intelligence Information Systems Applications (incl. Internet) Mathematical Logic and Formal Languages Artificial Intelligence (incl. Robotics) Informatik Künstliche Intelligenz Erscheint auch als Druckausgabe 978-3-319-42516-0 https://doi.org/10.1007/978-3-319-42518-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Hudec, Miroslav Fuzziness in information systems how to deal with Crisp and fuzzy data in selection, classification, and summarization Computer science Mathematical logic Data mining Artificial intelligence Computational intelligence Computer Science Data Mining and Knowledge Discovery Computational Intelligence Information Systems Applications (incl. Internet) Mathematical Logic and Formal Languages Artificial Intelligence (incl. Robotics) Informatik Künstliche Intelligenz |
| title | Fuzziness in information systems how to deal with Crisp and fuzzy data in selection, classification, and summarization |
| title_auth | Fuzziness in information systems how to deal with Crisp and fuzzy data in selection, classification, and summarization |
| title_exact_search | Fuzziness in information systems how to deal with Crisp and fuzzy data in selection, classification, and summarization |
| title_full | Fuzziness in information systems how to deal with Crisp and fuzzy data in selection, classification, and summarization Miroslav Hudec |
| title_fullStr | Fuzziness in information systems how to deal with Crisp and fuzzy data in selection, classification, and summarization Miroslav Hudec |
| title_full_unstemmed | Fuzziness in information systems how to deal with Crisp and fuzzy data in selection, classification, and summarization Miroslav Hudec |
| title_short | Fuzziness in information systems |
| title_sort | fuzziness in information systems how to deal with crisp and fuzzy data in selection classification and summarization |
| title_sub | how to deal with Crisp and fuzzy data in selection, classification, and summarization |
| topic | Computer science Mathematical logic Data mining Artificial intelligence Computational intelligence Computer Science Data Mining and Knowledge Discovery Computational Intelligence Information Systems Applications (incl. Internet) Mathematical Logic and Formal Languages Artificial Intelligence (incl. Robotics) Informatik Künstliche Intelligenz |
| topic_facet | Computer science Mathematical logic Data mining Artificial intelligence Computational intelligence Computer Science Data Mining and Knowledge Discovery Computational Intelligence Information Systems Applications (incl. Internet) Mathematical Logic and Formal Languages Artificial Intelligence (incl. Robotics) Informatik Künstliche Intelligenz |
| url | https://doi.org/10.1007/978-3-319-42518-4 |
| work_keys_str_mv | AT hudecmiroslav fuzzinessininformationsystemshowtodealwithcrispandfuzzydatainselectionclassificationandsummarization |