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 techniqu

Domenico Talia is a professor of computer engineering at the University of Calabria and the director of the Institute of High Performance Computing and Networking of the Italian National Research Council (ICAR-CNR). Dr. Talia is a member of the Association for Computing Machinery and IEEE Computer Society and an editorial board member of the following journals: IEEE Transactions on Computers, Future Generation Computer Systems, International Journal of Web and Grid Services, Journal of Cloud ComputingAdvances, Systems and Applications, Scalable Computing Practice and Experience, International Journal of Next-Generation Computing, Multiagent and Grid Systems: An International Journal, and Web Intelligence and Agent Systems. His research interests include parallel and distributed data mining algorithms, Cloud computing, Grid services, distributed knowledge discovery, peer-to-peer systems, and parallel programming models.

Paolo Trunfio is an assistant professor of computer engineering at the University of Calabria. He has previously worked at the Swedish Institute of Computer Science (SICS) and the Institute of Systems and Computer Science of the Italian National Research Council (ISI-CNR). Dr. Trunfio is a member of the editorial board of ISRN Artificial Intelligence. His research interests include Grid computing, Cloud computing, service-oriented architectures, distributed knowledge discovery, and peer-to-peer systems.

Distributed Knowledge Discovery: An Overview. Service-Oriented Computing for Data Analysis. Designing Services for Distributed Knowledge Discovery. Workflows of Services for Data Analysis. Services and Grids: The Knowledge Grid. Mining Tasks as Services: The Case of Weka4WS. How Services Can Support Mobile Data Mining. Knowledge Discovery Applications. Sketching the Future Pervasive Data Services. Bibliography. Index.