Efficient Learning Algorithms for Distributed Databases

Language: English

Published by LAP LAMBERT Academic Publishing Nov 2014, 2014

3659477923 / 9783659477928

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This item is printed on demand - Print on Demand Titel. Neuware -Most developed learning algorithms are designed for environments in which all the relevant data is stored at single computer site. Advances in network technology and the Internet as well as the growing size of data have contributed to the proliferation of distributed data mining. Therefore, previously developed learning algorithms for computations with such distributed databases require that all data stored in distributed locations must be transferred to a common site and recompiled as one complete and local dataset before the construction can take place. The danger in this transfer is obvious if the data itself is innately sensitive, or the necessary bandwidth to efficiently transmit the data to a single site is not available. In this book, new algorithms have been developed to preserve the privacy of the data and minimize the cost of communication among the database nodes by gathering statistical summaries at each distributed database and then passing messages describing those summaries between the participating sites. This is much more efficient than transferring the complete databases to a single site, join these databases, and then execute algorithms with this data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.…

Seller Inventory # 9783659477928

Title
Efficient Learning Algorithms for Distributed Databases
Author
Ibrahim Attiya
Publisher
LAP LAMBERT Academic Publishing Nov 2014
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659477923
ISBN 13
9783659477928
Item weight
215 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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