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Research and Development in Intelligent Systems XXXIII

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Cover of 'Research and Development in Intelligent Systems XXXIII'

Table of Contents

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    Book Overview
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    Chapter 1 Harnessing Background Knowledge for E-Learning Recommendation
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    Chapter 2 Category-Driven Association Rule Mining
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    Chapter 3 A Comparative Study of SAT-Based Itemsets Mining
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    Chapter 4 Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes
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    Chapter 5 Emotion-Corpus Guided Lexicons for Sentiment Analysis on Twitter
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    Chapter 6 Context-Aware Sentiment Detection from Ratings
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    Chapter 7 Recommending with Higher-Order Factorization Machines
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    Chapter 8 Multitask Learning for Text Classification with Deep Neural Networks
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    Chapter 9 An Investigation on Online Versus Batch Learning in Predicting User Behaviour
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    Chapter 10 A Neural Network Test of the Expert Attractor Hypothesis: Chaos Theory Accounts for Individual Variance in Learning
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    Chapter 11 A Fast Algorithm to Estimate the Square Root of Probability Density Function
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    Chapter 12 3Dana: Path Planning on 3D Surfaces
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    Chapter 13 Covert Implementations of the Turing Test: A More Level Playing Field?
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    Chapter 14 Context-Dependent Pattern Simplification by Extracting Context-Free Floating Qualifiers
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    Chapter 15 Experiments with High Performance Genetic Programming for Classification Problems
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    Chapter 16 Research and Development in Intelligent Systems XXXIII
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    Chapter 17 OPEN: New Path-Planning Algorithm for Real-World Complex Environment
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    Chapter 18 Encoding Medication Episodes for Adverse Drug Event Prediction
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    Chapter 19 A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation
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    Chapter 20 Artificial Intelligence and Legal Liability
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    Chapter 21 SELFBACK—Activity Recognition for Self-management of Low Back Pain
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    Chapter 22 Automated Sequence Tagging: Applications in Financial Hybrid Systems
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    Chapter 23 Research and Development in Intelligent Systems XXXIII
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    Chapter 24 Towards Keystroke Continuous Authentication Using Time Series Analytics
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    Chapter 25 EEuGene: Employing Electroencephalograph Signals in the Rating Strategy of a Hardware-Based Interactive Genetic Algorithm
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    Chapter 26 Spice Model Generation from EM Simulation Data Using Integer Coded Genetic Algorithms
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    Chapter 27 Dendritic Cells for Behaviour Detection in Immersive Virtual Reality Training
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    Chapter 28 Interactive Evolutionary Generative Art
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    Chapter 29 Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
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    Chapter 30 An Industrial Application of Data Mining Techniques to Enhance the Effectiveness of On-Line Advertising
Overall attention for this book and its chapters
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Research and Development in Intelligent Systems XXXIII
Published by
Springer International Publishing, November 2016
DOI 10.1007/978-3-319-47175-4
978-3-31-947174-7, 978-3-31-947175-4

Bramer, Max, Petridis, Miltos

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Master 7 19%
Student > Bachelor 3 8%
Student > Doctoral Student 3 8%
Unspecified 2 5%
Other 6 16%
Unknown 8 22%
Readers by discipline Count As %
Computer Science 13 35%
Engineering 4 11%
Business, Management and Accounting 3 8%
Unspecified 2 5%
Agricultural and Biological Sciences 1 3%
Other 2 5%
Unknown 12 32%