Communications and Discoveries from Multidisciplinary Data

Inbunden, Engelska, 2008

Del i serien Studies in Computational Intelligence

1 635 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2008-08-25
Mått:155 x 235 x undefined mm
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:340
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540787327

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Innehållsförteckning

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.