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portada Service-Oriented Distributed Knowledge Discovery
Type
Physical Book
Author
Publisher
Language
English
Pages
230
Format
Hardcover
Dimensions
23.6 x 15.7 x 2.0 cm
Weight
0.52 kg.
ISBN
1439875316
ISBN13
9781439875315
Categories

Service-Oriented Distributed Knowledge Discovery

Domenico Talia (Author) · Paolo Trunfio (Author) · CRC Press · Hardcover

Service-Oriented Distributed Knowledge Discovery - Talia, Domenico ; Trunfio, Paolo

New Book Imported to Taiwan
Delivery: 17 Sep - 25 Sep Shipping: 13 to 14 business days.
NT$ 5,915
NT$ 5,915

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Synopsis "Service-Oriented Distributed Knowledge Discovery"

A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures. Service-Oriented Distributed Knowledge Discovery presents techniques, algorithms, and systems based on the service-oriented paradigm. Through detailed descriptions of real software systems, it shows how the techniques, models, and architectures can be implemented.The book covers key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and service-oriented data mining. The authors illustrate how to design services for data analytics, describe real systems for implementing distributed knowledge discovery applications, and explore mobile data mining models. They also discuss the future role of service-oriented knowledge discovery in ubiquitous discovery processes and large-scale data analytics.Highlighting the latest achievements in the field, the book gives many examples of the state of the art in service-oriented knowledge discovery. Both novices and more seasoned researchers will learn useful concepts related to distributed data mining and service-oriented data analysis. Developers will also gain insight on how to successfully use service-oriented knowledge discovery in databases (KDD) frameworks.

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