Communications and Discoveries from Multidisciplinary Data

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Iwata, Shuichi (Επιμελητής έκδοσης), Ohsawa, Yukio (Επιμελητής έκδοσης), Tsumoto, Shusaku (Επιμελητής έκδοσης), Zhong, Ning (Επιμελητής έκδοσης), Shi, Yong (Επιμελητής έκδοσης), Magnani, Lorenzo (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Σειρά:Studies in Computational Intelligence, 123
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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.
Φυσική περιγραφή:XIV, 340 p. 121 illus. online resource.
ISBN:9783540787334
ISSN:1860-949X ;