Fuzziness in information systems: how to deal with crisp and fuzzy data in selection, classification, and summarization
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
[Cham]
Springer
[2016]
|
| Subjects: | |
| Physical Description: | xxii, 198 Seiten Illustrationen, Diagramme |
| ISBN: | 9783319425160 |
Staff View
MARC
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Record in the Search Index
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| id | DE-604.BV043874114 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:37:22Z |
| institution | BVB |
| isbn | 9783319425160 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029283910 |
| oclc_num | 964658911 |
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| owner_facet | DE-11 |
| physical | xxii, 198 Seiten Illustrationen, Diagramme |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Springer |
| record_format | marc |
| spelling | Hudec, Miroslav Verfasser (DE-588)111972063X aut Fuzziness in information systems how to deal with crisp and fuzzy data in selection, classification, and summarization Miroslav Hudec [Cham] Springer [2016] © 2016 xxii, 198 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc 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 Online-Ausgabe 978-3-319-42518-4 |
| 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 |
| work_keys_str_mv | AT hudecmiroslav fuzzinessininformationsystemshowtodealwithcrispandfuzzydatainselectionclassificationandsummarization |