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Published by Engineering Science Reference, 2018
ISBN 10: 1522587187 ISBN 13: 9781522587187
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Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522587187 ISBN 13: 9781522587187
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Published by Engineering Science Reference, 2018
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Published by Engineering Science Reference, 2018
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Published by Engineering Science Reference, 2018
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Published by Engineering Science Reference, 2018
ISBN 10: 1522587187 ISBN 13: 9781522587187
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Published by Engineering Science Reference, 2018
ISBN 10: 1522587187 ISBN 13: 9781522587187
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Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522587187 ISBN 13: 9781522587187
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Published by Engineering Science Reference, 2018
ISBN 10: 1522587187 ISBN 13: 9781522587187
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Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522587187 ISBN 13: 9781522587187
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines metaheuristic techniques as an important alternative model for solving complex problems that are not treatable by deterministic methods. The book features coverage on a broad range of topics, including ontology, plagiarism detection, and machine le.
Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522587187 ISBN 13: 9781522587187
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Taschenbuch. Condition: Neu. Advanced Metaheuristic Methods in Big Data Retrieval and Analytics | Hadj Ahmed Bouarara (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Engineering Science Reference | EAN 9781522587187 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522587187 ISBN 13: 9781522587187
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book focuses on new advancements of exploration, creation and development of metaheuristic algorithms in information retrieval models over big data environment and services. It presents how metaheuristics could affect in good or bad the results of different retrieval models and the impact of applying it in such complex and huge environment like big data'.