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Management Intelligent Systems

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Cover of 'Management Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Making Accurate Credit Risk Predictions with Cost-Sensitive MLP Neural Networks
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    Chapter 2 Multilevel Clustering on Very Large Scale of Web Data
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    Chapter 3 Memory, Experience and Adaptation in Logical Agents
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    Chapter 4 Mining the Traffic Cloud: Data Analysis and Optimization Strategies for Cloud-Based Cooperative Mobility Management
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    Chapter 5 Towards a Knowledge-Driven Application Supporting Entrepreneurs Decision-Making in an Uncertain Environment
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    Chapter 6 Training Neural Networks by Resilient Backpropagation Algorithm for Tourism Forecasting
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    Chapter 7 On Semantic, Rule-Based Reasoning in the Management of Functional Rehabilitation Processes
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    Chapter 8 Advances in Market Segmentation through Nature-Inspired Intelligence Methods: An Empirical Evaluation
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    Chapter 9 Improving Index Selection Accuracy for Star Join Queries Processing: An Association Rules Based Approach
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    Chapter 10 The Utilization of the Moodle E-Learning System in Isra University
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    Chapter 11 Finding People Who Can Contribute to Learning Activities: A First Approach to Enhance the Information about Experts Available in a People Directory
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    Chapter 12 Providing Event Recommendations in Educational Scenarios
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    Chapter 13 A New Generation of Learning Object Repositories Based on Cloud Computing
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    Chapter 14 Technological Platform to Facilitate the Labor Integration of People with Auditory Impairements
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    Chapter 15 Keystrokes and Clicks: Measuring Stress on E-learning Students
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    Chapter 16 Integral Multi-agent Model Recommendation of Learning Objects, for Students and Teachers
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    Chapter 17 TANGO:H: Creating Active Educational Games for Hospitalized Children
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Mentioned by

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1 patent

Citations

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1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Management Intelligent Systems
Published by
Springer International Publishing, November 2013
DOI 10.1007/978-3-319-00569-0
ISBNs
978-3-31-900568-3, 978-3-31-900569-0
Editors

Casillas, Jorge, Martínez-López, Francisco J., Vicari, Rosa, De la Prieta, Fernando

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Ph. D. Student 2 17%
Professor 2 17%
Other 1 8%
Lecturer 1 8%
Other 2 17%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 3 25%
Engineering 2 17%
Arts and Humanities 1 8%
Linguistics 1 8%
Business, Management and Accounting 1 8%
Other 2 17%
Unknown 2 17%