Oracle Data Mining and the implementation of Support Vector Machine

Language: English

Published by LAP LAMBERT Academic Publishing Jun 2015, 2015

3659716979 / 9783659716973

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This item is printed on demand - Print on Demand Titel. Neuware -Contemporary commercial databases are putting an increased accentuation on analytic abilities. The data mining technology is very important when we are referring to large volumes of data for analysis. Regarding novel data if we use modern data mining techniques we may improve their accuracy and generalization. But as we all know attaining results of good quality frequently demands high level of proficiency and user expertise. Support Vector Machines is a wonderful and potent state-of-the-art data mining algorithm and can express problems not compliant to traditional statistical analysis. Anywise, this kind of algorithm stays limited on the strength of methodological complexities, scalability challenges, and scarcity of production quality SVM implementations. The paper hereby portrays Oracle¿s implementation of SVM where the primary topic lies on ease of use and scalability whilst maintaining high performance accuracy. Support Vector Machines algorithm is entirely integrated into the Oracle database framework and so it can be easily leveraged in a multifariousness of deployment scenarios.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. …

Seller Inventory # 9783659716973

Title
Oracle Data Mining and the implementation of Support Vector Machine
Author
Victoria Cupet
Publisher
LAP LAMBERT Academic Publishing Jun 2015
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659716979
ISBN 13
9783659716973
Item weight
149 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

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