Communications and Discoveries from Multidisciplinary Data (Studies in Computational Intelligence)

Iwata, Shuichi (Editor)., Yukio Ohsawa (Editor)., Shusaku Tsumoto (Editor)., Ning Zhong (Editor)., Yong Shi (Editor)., Lorenzo Magnani (Editor)

ISBN 10: 3540787321 / ISBN 13: 9783540787327

Editore: Springer, 2008

Riguardo questo articolo

Book has faint surface-level indentations to the front cover, light rubbing to corners, light creasing to the top/bottom of spine, spine cocked ever so slightly to the left, a touch of edgewear.otherwise book is in very good condition. Pages are clean, crisp and bright with tight binding, and an unbroken spine. A sharp copy.

Codice articolo 956838

Dati bibliografici

• Titolo: Communications and Discoveries from Multidisciplinary Data (Studies in Computational Intelligence)
• Editore: Springer
• Data di pubblicazione: 2008
• Lingua: Inglese
• ISBN 10: 3540787321
• ISBN 13: 9783540787327
• Rilegatura: Hardcover
• Condizione: Near Fine
• Cataloghi dei venditori:
  • Computer

Descrizione articolo

Riassunto

This book collects selected papers by authors for CODATA 2006, which are relevant to the acquisition of knowledge and the assessment of risk and opportunity that comes from combining data from a number of different disciplines.

Dalla quarta di copertina

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.