Holdings: Fuzziness in information systems

Fuzziness in information systems: how to deal with Crisp and fuzzy data in selection, classification, and summarization

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Bibliographic Details
Main Author:	Hudec, Miroslav (Author)
Format:	Electronic eBook
Language:	English
Published:	[Cham] Springer [2016]
Subjects:	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
Online Access:	BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FRO01 HTW01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext
Physical Description:	1 Online-Ressource (XXII, 198 Seiten, 91 illus)
ISBN:	9783319425184
DOI:	10.1007/978-3-319-42518-4

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Record in the Search Index

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isbn	9783319425184
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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

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