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Emerging Intelligent Technologies in Industry

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Cover of 'Emerging Intelligent Technologies in Industry'

Table of Contents

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    Book Overview
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    Chapter 1 A Genetic Algorithm Approach to Optimization of Vehicular Traffic in Cities by Means of Configuring Traffic Lights
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    Chapter 2 Towards Understanding Protein-Protein Interactions: The AI Approach
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    Chapter 3 Integrating Clustering and Classification Techniques: A Case Study for Reservoir Facies Prediction
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    Chapter 4 A Novel Method Based on Modified Shuffled Frog Leaping Algorithm and Artificial Neural Network for Power System Load Prediction
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    Chapter 5 Stock Investment Decision Making: A Social Network Approach
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    Chapter 6 An Interactive Tool for Automatic Index Selection in Relational Database Management Systems
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    Chapter 7 NASA Technology Transfer System
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    Chapter 8 Agent Metamodel for Virtual Reality Applications
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    Chapter 9 Porting Graphical User Interfaces through Ontology Alignment
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    Chapter 10 Querying and Splitting Techniques for SBA: A Model Checking Based Approach
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    Chapter 11 Polish-English Word Alignment: Preliminary Study
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    Chapter 12 Concept-Based Topic Model Improvement
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    Chapter 13 Automatic Supply of a Medical Knowledge Base Using Linguistic Methods
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    Chapter 14 “Dynamic” Syntax Model in Automated Language Analysis Systems for Increasing Full-Text Search Systems Efficiency
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    Chapter 15 An Algorithm for Parallel Tree-Shaped Bayesian Network Construction
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    Chapter 16 Mining Hierarchical Communities from Complex Networks Using Distance-Based Similarity
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    Chapter 17 Architecture of Distributed System for Challenging Data Mining Tasks
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    Chapter 18 External Validation Measures for Nested Clustering of Text Documents
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    Chapter 19 Knowledge Trends – Analysis of Data Frames
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    Chapter 20 Correlated Gauss Distribution Based Rough Entropy Thresholding Measures in Image Segmentation
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    Chapter 21 Lazy Approach to Privacy Preserving Classification with Emerging Patterns
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    Chapter 22 LRFI – Fault Injection Tool for Testing Mobile Software
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    Chapter 23 How Rich Are Mobile Rich Internet Applications?
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    Chapter 24 Fuzzy Model of QPSK and QAM Modulation
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    Chapter 25 Who/Where Are My New Customers?
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    Chapter 26 Customer Experience Management Architecture for Enhancing Corporate Customer Centric Capabilities
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    Chapter 27 Shopping Path Modeling Using a Transition Matrix Compression Algorithm
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Title
Emerging Intelligent Technologies in Industry
Published by
Springer Berlin Heidelberg, January 2011
DOI 10.1007/978-3-642-22732-5
ISBNs
978-3-64-222731-8, 978-3-64-222732-5
Editors

Dominik Ryżko, Henryk Rybiński, Piotr Gawrysiak, Marzena Kryszkiewicz

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Romania 1 6%
Brazil 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Professor 4 22%
Student > Master 3 17%
Student > Bachelor 2 11%
Librarian 2 11%
Researcher 2 11%
Other 4 22%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 11 61%
Business, Management and Accounting 2 11%
Engineering 2 11%
Economics, Econometrics and Finance 1 6%
Unknown 2 11%