Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139471834 ISBN 13: 9786139471836
Language: English
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Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139471834 ISBN 13: 9786139471836
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.
Published by LAP LAMBERT Academic Publishing Mär 2019, 2019
ISBN 10: 6139471834 ISBN 13: 9786139471836
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -The distributed queries in the centralized setting and addressed data operation over web databases, where different dimensions are stored in different data sites.Their algorithm first retrieves values in every dimension from remote data sites using sorted access in round-robin on all dimensions. This continues until all dimension values of an object, called the terminating object, have been retrieved. The wired large-scale distributed environment, is also different from this work in a MANET setting. Proposed a feedback-based distributed skyline (FDS) algorithm within a network setting similar as ours. However, FDS only deals with skyline queries without any constraints that are considered in our work. Also, FDS is focused on minimizing the network bandwidth use, and therefore, it uses a multiple-round feedback mechanism to prune the unqualified skyline candidates.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139471834 ISBN 13: 9786139471836
Language: English
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Published by LAP LAMBERT Academic Publishing Mrz 2019, 2019
ISBN 10: 6139471834 ISBN 13: 9786139471836
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The distributed queries in the centralized setting and addressed data operation over web databases, where different dimensions are stored in different data sites.Their algorithm first retrieves values in every dimension from remote data sites using sorted access in round-robin on all dimensions. This continues until all dimension values of an object, called the terminating object, have been retrieved. The wired large-scale distributed environment, is also different from this work in a MANET setting. Proposed a feedback-based distributed skyline (FDS) algorithm within a network setting similar as ours. However, FDS only deals with skyline queries without any constraints that are considered in our work. Also, FDS is focused on minimizing the network bandwidth use, and therefore, it uses a multiple-round feedback mechanism to prune the unqualified skyline candidates. 60 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139471834 ISBN 13: 9786139471836
Language: English
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Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139471834 ISBN 13: 9786139471836
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Murugan KR. SenthilKR.SENTHIL MURUGAN. M.E.,M.B.A.,Member of Indian Society for Technical Education, He has completed his post graduate degree from Anna University, Chennai. At present he has been working as an Assistant Professor in.
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139471834 ISBN 13: 9786139471836
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The distributed queries in the centralized setting and addressed data operation over web databases, where different dimensions are stored in different data sites.Their algorithm first retrieves values in every dimension from remote data sites using sorted access in round-robin on all dimensions. This continues until all dimension values of an object, called the terminating object, have been retrieved. The wired large-scale distributed environment, is also different from this work in a MANET setting. Proposed a feedback-based distributed skyline (FDS) algorithm within a network setting similar as ours. However, FDS only deals with skyline queries without any constraints that are considered in our work. Also, FDS is focused on minimizing the network bandwidth use, and therefore, it uses a multiple-round feedback mechanism to prune the unqualified skyline candidates.