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Communications and Discoveries from Multidisciplinary Data

Inglese · Copertina rigida

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

A number of urgent problems are rising to human life: The attack of terrorists is hard to predict, due to the hidden leaderships. New diseases are hard to extinguish, due to their new causes. Products may be shortly abandoned, due to the appearance of new desires.
A common feature of recent socially high-impact problems, such as detecting the causal virus of SARS, is that they are open to multiple scientific domains. In order to respond to this social requirement, this book collects selected papers by authors for CODATA 2006, which are relevant to the discoveries of knowledge, risk, and opportunities by combining data from multiple disciplines.
By presenting papers in this book, we aim at urging the development of data-based methods and methodologies for interdisciplinary and creative communications for solving emerging social problems. The reader shall view the direction to combine three methodological frameworks: data mining, data sharing, and communication in the contexts of sciences and businesses.

Info autore

Ning Zhong is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Systems and Information Engineering, Graduate School, Maebashi Institute of Technology, Japan. He is also CEO of Web Intelligence Laboratory, Inc., a new type of venture intelligent IT business company. Before moving to Maebashi Institute of Technology, he was an associate professor in Department of Computer Science and Systems Engineering, Yamaguchi University, Japan. He is also a guest professor of Beijing University of Technology since 1998. He is the co-founder and co-chair of Web Intelligence Consortium (WIC), vice chair of the executive committee of the IEEE Computer Society Technical Committee on Computational Intelligence (TCCI), the advisory board of ACM SIGART, steering committee of IEEE International Conferences on Data Mining (ICDM), the advisory board of International Rough Set Society, steering committee of Pacific-Asia Conferences on Knowledge Discovery and Data Mining (PAKDD), coordinator and member of advisory board of a Special Interest Group on Granular Computing in Berkeley Initiative in Soft Computing (BISC/SIG-GrC).

Dettagli sul prodotto

Con la collaborazione di Yuki Ohsawa (Editore), Shusaku Tsumoto et al (Editore), Yong Shi (Editore), Lorenzo Magnani (Editore), Shuichi Iwata (Editore), Yukio Ohsawa (Editore), Ning Zhong (Editore), Shusaku Tsumoto (Editore)
Editore Springer, Berlin
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 14.04.2009
Categoria Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie
 
EAN 9783540787327
ISBN 978-3-540-78732-7
Numero di pagine 340
Illustrazioni XIV, 340 p. 121 illus.
Dimensioni (della confezione) 15.5 x 23.5 cm
Peso (della confezione) 680 g
 
Serie Studies in Computational Intelligence > Vol.123
Studies in Computational Intelligence
Categorie C, Model, Künstliche Intelligenz, Data Mining, Artificial Intelligence, Knowledge Management, Learning, engineering, Visualization, Fuzzy, Mathematical and Computational Engineering, Engineering mathematics, Applied mathematics, Mathematical and Computational Engineering Applications, fuzzy system, knowledge discovery
 

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