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Can I read Autonomous Intelligent Systems: Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings (Lecture Notes in Computer Science) on EtoBox?

Autonomous Intelligent Systems: Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings (Lecture Notes in Computer Science) by Kanishka Bhaduri, Kamalika Das, Hillol Kargupta (auth.), Vladimir Gorodetsky, Chengqi Zhang, Victor A. Skormin, Longbing Cao (eds.) is a nonfiction available to read on EtoBox.

What is Autonomous Intelligent Systems: Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings (Lecture Notes in Computer Science) about?

Since early 1990, multi-agent systems (MAS), data mining, and knowledge d- covery (KDD) have remained areas of high interest in the research and - velopment of intelligent information technologies. Indeed, MAS o?ers powerful metaphors for information system conceptualization, a range of new techniques, and technologies speci?cally focused on the design and implementation of lar- scale open distributed intelligent systems. KDD also provides intelligent inf- mation technology with powerful ideas, algorithms, and software means to help cope with the main problem of arti?cial intelligence, formulated in the we- known question “Where does the knowledge come from?”, thus actually making modern applications intelligent and adaptive. The evident recent trend in both science and industry is to integrate and take advantage of both technologies. The existing experience with combined application of multi-agent technology to design architectures of distributed (- erarchical and peer-to-peer) data mining and KDD systems, as well as the u- lization of data mining and KDD achievements to provide enhanced intelligence of MAS, con?rms the fact that both technologies are capable of mutual enri- ment

Who reads Autonomous Intelligent Systems: Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings (Lecture Notes in Computer Science)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Kanishka Bhaduri, Kamalika Das, Hillol Kargupta (auth.), Vladimir Gorodetsky, Chengqi Zhang, Victor A. Skormin, Longbing Cao (eds.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
2007
Language
EN
ISBN
9783540728382
Category
nonfiction
Subjects
Management, Business, Science

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