By Prof. Ning Zhong, Prof. Jiming Liu (auth.)
Intelligent info know-how (iiT) encompasses the theories and ap plications of man-made intelligence, statistical development popularity, studying thought, facts warehousing, info mining and data discovery, Grid com puting, and self reliant brokers and multi-agent structures within the context of latest in addition to destiny IT, reminiscent of digital trade (EC), company Intelligence (BI), Social Intelligence (SI), net Intelligence (WI), wisdom Grid (KG), and data group (KC), between others. The multi-author monograph provides the present nation of the study and improvement in clever applied sciences for info research, in par ticular, advances in brokers, information mining, and studying thought, from either the oretical and alertness points. It investigates the way forward for details expertise (IT) from a brand new clever IT (iiT) point of view, and highlights significant iiT-related subject matters by way of structuring an introductory bankruptcy and 22 sur vey/research chapters into five components: (1) rising facts mining know-how, (2) facts mining for internet intelligence, (3) rising agent know-how, ( four) rising gentle computing know-how, and (5) statistical studying thought. every one bankruptcy comprises the unique paintings of the author(s) in addition to a entire survey on the topic of the chapter's subject. This ebook turns into a invaluable resource of reference for R&D career als energetic in complex clever details applied sciences. scholars in addition to IT execs and impressive practitioners excited by complicated in telligent details applied sciences will savour the booklet as an invaluable textual content more suitable by means of various illustrations and examples.
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Additional resources for Intelligent Technologies for Information Analysis
The core of those techniques is the notion of synthetic or emergent autonomy based on behavioral selforganization. There has been some earlier work performed in the domains of e-business and e-commerce. 21]. 24]. It works like a personal agency. For instance, it can help a user to effectively manage tedious daily routine activities, such as processing emails, placing orders, making meeting arrangements, downloading news, etc. 10 N. Zhong and J. , a new Turing Test, that will capture and demonstrate the Wisdom Web capabilities.
Therefore, AutoClass can be invoked with the command /usrI autoclass/ autoclass -search aFile. db2 aFile. s-params.
Y. Yao, N. Zhong, J. Huang, C. Ou, C. Y. Yao and N. A. ) Data Mining, Rough Sets and Granular Computing (Physica-Verlag, 2002) pp. 39 N. Zhong and L. 40 N. Zhong, A. Skowron, S. ): New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, LNAI 1711 (Springer, 1999). 41 N. Z. Dong, C. Liu, S. Ohsuga: A Hybrid Model for Rule Discovery in Data, Knowledge Based Systems, Vol. 14, No. 42 N. Zhong and S. Ohsuga: Automatic Knowledge Discovery in Larger Scale Knowledge-Data Bases, in C. ) the Handbook of Expert Systems, Vol.