EngineeringCommunications and Discoveries from Multidisciplinary Data
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Item 1 of 1
SKU 9783642097515Publishing Ref 9783642097515
Springer
Communications and Discoveries from Multidisciplinary Data
Printed Book
SR 863
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SKU 9783642097515Publishing Ref 9783642097515
Author:Iwata, Shuichi
Date of Publication: 2010
Book classification:Engineering,English Books,
No. of pages:356 Pages
Format:Paperback
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About this Product
Part I 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.- Part II 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.- Part III 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 Process with Pictogram for Extracting New Scenarios for Patent Technology.- Drug Design Using a Multi-input Multi-output Neuro-Fuzzy System.- A Framework of Knowledge Management Platform for Middle and Small Business.- Part IV 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.