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...
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| Other Authors: | , , , , , |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Studies in Computational Intelligence,
123 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-78733-4 |
Table of Contents:
- 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.