Service-Oriented Distributed Knowledge Discovery
(Chapman & Hall/CRC, October 2012)
The book presents techniques and systems to extract useful knowledge from large volumes of data by exploiting distributed data mining models in service-oriented infrastructures. 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 KDD and service-oriented data mining.
The book illustrates how to design services for data analytics, describes real systems for implementing distributed knowledge discovery applications, and explore mobile data mining models. The book also discusses the future role of service-oriented knowledge discovery in ubiquitous discovery processes and large-scale data analytics. 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 design and implement service-oriented KDD frameworks.
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