
Communications and Discoveries from Multidisciplinary Data
Springer (Publisher)
Published on 25. August 2008
Book
Hardback
XIV, 340 pages
978-3-540-78732-7 (ISBN)
Description
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.
More details
Series
Edition
2008 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
121 s/w Abbildungen
XIV, 340 p. 121 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
691 gr
ISBN-13
978-3-540-78732-7 (9783540787327)
DOI
10.1007/978-3-540-78733-4
Schweitzer Classification
Other editions
Additional editions

Shuichi Iwata | Yukio Ohsawa | Shusaku Tsumoto
Communications and Discoveries from Multidisciplinary Data
Book
11/2010
Springer
€160.49
Shipment within 7-9 days
Content
Thought, Communication, and Actions.- Sharing Representations and Creating Chances through Cognitive Niche Construction. The Role of Affordances and Abduction.- Discovering and Communicating through Multimodal Abduction.- Creative Community Working on Multidisciplinary Data.- Augmented Analytical Exploitation of a Scientific Forum.- Multi-Data Mining for Understanding Leadership Behavior.- Discussion Visualization on a Bulletin Board System.- Design of BBS with Visual Representation for Online Data Analysis.- A Study on Web Clustering with Respect to XiangShan Science Conference.- Discoveries from Data and Application to Business.- A Multilevel Integration Approach for E-Finance Portal Development.- Integrated Design Framework for Embedded GUI System.- A Unified Probabilistic Inference Model for Targeted Marketing.- Computational Methods for Discoveries from Integrated Data - Human-Interactive Annealing for Multilateral Observation.- Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology.- Pharmaceutical Drug Design Using Dynamic Connectionist Ensemble Networks.- A Framework of Knowledge Management Platform for Middle and Small Business.- Mining Risks from Multidisciplinary Data.- Discovery of Clusters from Proximity Data: An Approach Using Iterative Adjustment of Binary Classifications.- Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices.- Risk Mining for Infection Control.- Evaluating the Error Risk of Email Filters Based on ROC Curve Analysis.- Categorized and Integrated Data Mining of Medical Data.- Privacy-Preserving Data Mining for Medical Data: Application of Data Partition Methods.