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Advances in Computational Intelligence Systems

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Cover of 'Advances in Computational Intelligence Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Integrating Association Rules Mined from Health-Care Data with Ontological Information for Automated Knowledge Generation
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    Chapter 2 Sentiment Analysis Model Based on Structure Attention Mechanism
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    Chapter 3 Fuzzy Representation for Flexible Requirement Satisfaction
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    Chapter 4 A Multidisciplinary Method for Constructing and Validating Word Similarity Datasets
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    Chapter 5 Fuzzy Connected-Triple for Predicting Inter-variable Correlation
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    Chapter 6 Data Integration with Self-organising Neural Network Reveals Chemical Structure and Therapeutic Effects of Drug ATC Codes
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    Chapter 7 A Modified Approach to Inferring Animal Social Networks from Spatiotemporal Data Streams
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    Chapter 8 A Heuristic Approach for the Dynamic Frequency Assignment Problem
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    Chapter 9 Applying ACO to Large Scale TSP Instances
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    Chapter 10 A New Steady-State MOEA/D for Sparse Optimization
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    Chapter 11 A Multiobjective Evolutionary Algorithm Approach for Map Sketch Generation
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    Chapter 12 A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization
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    Chapter 13 Generation of Reducts and Threshold Functions Using Discernibility and Indiscernibility Matrices for Classification
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    Chapter 14 Adaptive Noise Cancelation Using Fuzzy Brain Emotional Learning Network
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    Chapter 15 Artificial Neural Network Analysis of Volatile Organic Compounds for the Detection of Lung Cancer
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    Chapter 16 Predicting the Occurrence of World News Events Using Recurrent Neural Networks and Auto-Regressive Moving Average Models
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    Chapter 17 A Comparison Study on Flush+Reload and Prime+Probe Attacks on AES Using Machine Learning Approaches
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    Chapter 18 Classifying and Recommending Using Gradient Boosted Machines and Vector Space Models
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    Chapter 19 SemCluster: Unsupervised Automatic Keyphrase Extraction Using Affinity Propagation
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    Chapter 20 Towards Low-Cost P300-Based BCI Using Emotiv Epoc Headset
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    Chapter 21 Emotion Detection in E-learning Using Expectation-Maximization Deep Spatial-Temporal Inference Network
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    Chapter 22 Human Activities Transfer Learning for Assistive Robotics
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    Chapter 23 3D Simulation of Navigation Problem of People with Cerebral Visual Impairment
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    Chapter 24 A Fall Detection/Recognition System and an Empirical Study of Gradient-Based Feature Extraction Approaches
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    Chapter 25 Towards an Ontology of Trust for Situational Understanding
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    Chapter 26 Traffic Condition Analysis Based on Users Emotion Tendency of Microblog
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    Chapter 27 Fuzzy Bi-objective Chance-Constrained Programming Model for Timetable Optimization of a Bus Route
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    Chapter 28 Solving Dial-A-Ride Problems Using Multiple Ant Colony System with Fleet Size Minimisation
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    Chapter 29 Bus Scheduling Timetable Optimization Based on Hybrid Bus Sizes
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    Chapter 30 Supplier’s Information Strategy in the Presence of a Dominant Retailer
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    Chapter 31 Optimization Allocation Between Multiple Logistic Tasks and Logistic Resources Considered Demand Uncertainty
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    Chapter 32 Two-Stage Heuristic Algorithm for a New Model of Hazardous Material Multi-depot Vehicle Routing Problem
Overall attention for this book and its chapters
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Mentioned by

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3 X users
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5 Wikipedia pages

Citations

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4 Dimensions

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Title
Advances in Computational Intelligence Systems
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-66939-7
ISBNs
978-3-31-966938-0, 978-3-31-966939-7
Editors

Fei Chao, Steven Schockaert, Qingfu Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Student > Doctoral Student 2 18%
Unspecified 2 18%
Student > Ph. D. Student 2 18%
Other 1 9%
Other 1 9%
Readers by discipline Count As %
Computer Science 5 45%
Unspecified 2 18%
Engineering 2 18%
Business, Management and Accounting 1 9%
Arts and Humanities 1 9%
Other 0 0%