Published by Engineering Science Reference, 2018
ISBN 10: 1522538704 ISBN 13: 9781522538707
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522538704 ISBN 13: 9781522538707
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522538704 ISBN 13: 9781522538707
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522538704 ISBN 13: 9781522538707
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522538704 ISBN 13: 9781522538707
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522538704 ISBN 13: 9781522538707
Language: English
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Published by Engineering Science Reference, 2018
ISBN 10: 1522538704 ISBN 13: 9781522538707
Language: English
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnDue to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The .
Published by Engineering Science Reference, 2018
ISBN 10: 1522538704 ISBN 13: 9781522538707
Language: English
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.