Communications And Discoveries From Multidisciplinary Data (Studies In Computational Intelligence). Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2008
- Rilegato
- Nuovo

Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
Venditore AbeBooks dal 24 giugno 2016
Condizione: Nuovo
EUR 54,81
Descrizione dell’articolo da parte del venditore
New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Codice articolo ABEOCT25-244483
- Titolo
- Communications And Discoveries From Multidisciplinary Data (Studies In Computational Intelligence)
- Autore
- Shuichi Ivata Et. Al
- Editore
- Springer
- Anno di pubblicazione
- 2008
- Condizione
- Brand New
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 3540787321
- ISBN 13
- 9783540787327
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.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
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.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.