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Published by Engineering Science Reference, 2017
ISBN 10: 1522537074 ISBN 13: 9781522537076
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Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522537074 ISBN 13: 9781522537076
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Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522537074 ISBN 13: 9781522537076
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Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522537074 ISBN 13: 9781522537076
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Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522537074 ISBN 13: 9781522537076
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Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522537074 ISBN 13: 9781522537076
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines the differences between the two types of software, integral in the FOSS movement, and their effect on the distribution and use of software. Featuring coverage on a wide range of topics, such as FOSS Ecology, graph mining, and project tasks, this bo.
Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522537074 ISBN 13: 9781522537076
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Free and Open Source Software in Modern Data Science and Business Intelligence | Emerging Research and Opportunities | K. G. Srinivasa (u. a.) | Buch | Gebunden | Englisch | 2017 | Engineering Science Reference | EAN 9781522537076 | 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, 2017
ISBN 10: 1522537074 ISBN 13: 9781522537076
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer software and technologies are advancing at an amazing rate. The accessibility of these software sources allows for a wider power among common users as well as rapid advancement in program development and operating information. Free and Open Source Software in Modern Data Science and Business Intelligence: Emerging Research and Opportunities is a critical scholarly resource that examines the differences between the two types of software, integral in the FOSS movement, and their effect on the distribution and use of software. Featuring coverage on a wide range of topics, such as FOSS Ecology, graph mining, and project tasks, this book is geared towards academicians, researchers, and students interested in current research on the growing importance of FOSS and its expanding reach in IT infrastructure.