Distributed Computing and Artificial Intelligence 7th International Symposium
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Andre Ponce Leon F. de Carvalho, Sara Rodríguez-González, Juan F. Paz Santana, Juan M. Corchado Rodr
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Andre Ponce de Leon F. de Carvalho, Sara Rodríguez-González, Juan F. De Paz Santana, Juan Manuel Cor
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Distributed Computing and Artificial Intelligence 7th International Symposium
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Springer-Verlag
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9783642148835
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Advances in Intelligent and Soft Computing
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1
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CHF 558.20
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Allgemeines, Lexika
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English
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702
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Wasserzeichen/DRM
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PC/MAC/eReader/Tablet
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PDF
The International Symposium on Distributed Computing and Artificial Intel- gence (DCAI´10) is an annual forum that brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application to provide efficient solutions to real problems. This symposium is organized by the Biomedicine, Intelligent System and Edu- tional Technology Research Group (http://bisite. usal. es/) of the University of - lamanca. The present edition has been held at the Polytechnic University of - lencia, from 7 to 10 September 2010, within the Congreso Español de Informática (CEDI 2010). Technology transfer in this field is still a challenge, with a large gap between academic research and industrial products. This edition of DCAI aims at contributing to reduce this gap, with a stimulating and productive forum where these communities can work towards future cooperation with social and econo- cal benefits. This conference is the forum in which to present application of in- vative techniques to complex problems. Artificial intelligence is changing our - ciety. Its application in distributed environments, such as internet, electronic commerce, environment monitoring, mobile communications, wireless devices, distributed computing, to cite some, is continuously increasing, becoming an e- ment of high added value with social and economic potential, both industry, life quality and research. These technologies are changing constantly as a result of the large research and technical effort being undertaken in universities, companies.
Title Page
2
Preface
6
Organization
8
Contents
12
Feature Selection Method for Classification of New and Used Bills
21
Introduction
21
Adaptive Digital Filter
22
Error Back-Propagation Algorithm
23
Acoustic Data from a Bank Machine
25
Noise Reduction Method
25
Experimental Results
27
Conclusions
28
References
28
Otoliths Identifiers Using Image Contours EFD
29
Introduction
30
Materials and Methods
30
Contours Extraction and Elliptic Fourier Descriptors (EFD)
32
Support Vector Machine (SVM) and Identifier
33
Implementation and Results
33
Discussion
35
Conclusion
35
References
36
Semantic Based Web Mining for Recommender Systems
37
Introduction
37
Recommender Systems
38
Associative Classification
39
Semantic Web Mining
39
Recommendation Methodology
41
Conclusions
44
References
44
Classification of Fatigue Bills Based on K-Means by Using Creases Feature
46
Introduction
46
Basic Concept
47
Length
47
K-Means Clustering
47
Feature Extraction
48
Distinction Experiment
49
Conclusion
51
References
51
A Classification Method of Inquiry e-Mails for Describing FAQ with Self-configured Class Dictionary
53
Introduction
53
Document Clustering for Making Candidate Q
53
