Programme Chairs’ Introduction
Acknowledgements/Committees
Technical Executive Programme Committee
Applications Executive Programme Committee
Technical Programme Committee
Application Programme Committee
Contents
Research and Development in Intelligent Systems XXXIII
Harnessing Background Knowledge for E-Learning Recommendation
Knowledge Discovery and Data Mining
Category-Driven Association Rule Mining
1 Introduction
2 Mining Association Rules Revisited
3 Category-Augmented Knowledge
4 Category-Augmented Rule-Association Mining Using Background Knowledge
5 Experimental Evaluation Using Medical Records
6 Summary and Conclusions
References
A Comparative Study of SAT-Based Itemsets Mining
1 Introduction
2 Background
3 Frequent Itemset Mining
4 Encoding of Frequent Itemset Mining Using Constraint
5 Enumerating all Models of CNF Formulae
6 Experimental Validation
7 Conclusion
References
Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes
1 Introduction
2 Literature Review
3 Formalism
4 Movement Pattern Mining
5 Experiments and Evaluation
5.1 Data Sets
5.2 Support Threshold
5.3 Number of FETs
5.4 Number of Shapes
5.5 Distributed ShaMP
6 Conclusion and Future Work
References
Sentiment Analysis and Recommendation
Emotion-Corpus Guided Lexicons for Sentiment Analysis on Twitter
Context-Aware Sentiment Detection from Ratings
Recommending with Higher-Order Factorization Machines
Machine Learning
Multitask Learning for Text Classification with Deep Neural Networks
An Investigation on Online Versus Batch Learning in Predicting User Behaviour
A Neural Network Test of the Expert Attractor Hypothesis: Chaos Theory Accounts for Individual Variance in Learning
AI Techniques
A Fast Algorithm to Estimate the Square Root of Probability Density Function
3Dana: Path Planning on 3D Surfaces
Natural Language Processing
Covert Implementations of the Turing Test: A More Level Playing Field?
1 Introduction
2 The Loyola Marymount Experiment
3 The University of Worcester Experiment
3.1 Experimental Design
3.2 Technical Design
3.3 Principal Results: Phase 1---Covert Turing
3.4 Principal Results: Phase 2---Overt Turing
3.5 Technical Analysis of the Worcester Experiment
4 Revisiting the Original Hypothesis
5 Further Work
References
Context-Dependent Pattern Simplification by Extracting Context-Free Floating Qualifiers
Short Papers
Experiments with High Performance Genetic Programming for Classification Problems
Towards Expressive Modular Rule Induction for Numerical Attributes
1 Introduction
2 Modular Rule Induction with Prism
3 Inducing Expressive Module Classification Rules
4 Preliminary Results
5 Conclusions and Future Work
References
OPEN: New Path-Planning Algorithm for Real-World Complex Environment
1 Introduction
2 Proposed Method
3 Experiments
4 Conclusions
References
Encoding Medication Episodes for Adverse Drug Event Prediction
Applications and Innovations in Intelligent Systems XXIV
A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation
1 Introduction
2 Overview of the Multi-skilled Workforce Optimisation Problem
2.1 Overview on Multi-skilled Engineers
2.2 Overview on Team Organisation Optimisation
2.3 Objective and Constraints
3 The Proposed GA Based Skill and Team Allocation Optimistion System
4 Experiments and Results
5 Real World Application
6 Conclusions and Future Work
References
Legal Liability, Medicine and Finance
Artificial Intelligence and Legal Liability
SELFBACK---Activity Recognition for Self-management of Low Back Pain
Automated Sequence Tagging: Applications in Financial Hybrid Systems
1 Introduction
2 Background
3 Methodologies
3.1 Rule Based
3.2 Statistical
3.3 Hybrid Systems
4 Architecture
5 Experiments
6 Discussion
7 Further Research
References
Telecoms and E-Learning
A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network
Towards Keystroke Continuous Authentication Using Time Series Analytics
Genetic Algorithms in Action
EEuGene: Employing Electroencephalograph Signals in the Rating Strategy of a Hardware-Based Interactive Genetic Algorithm
Spice Model Generation from EM Simulation Data Using Integer Coded Genetic Algorithms
Short Papers
Dendritic Cells for Behaviour Detection in Immersive Virtual Reality Training
1 Introduction
2 Dendritic Cells and the DCA
3 Behaviour Detection in an Immersive Virtual Environment
4 Results and Observations
5 Conclusion and Future Work
References
Interactive Evolutionary Generative Art
Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
1 Introduction
2 Data Analysis and Feature Extraction
3 Statistical Analysis and Key Elements of Model
4 Conclusions and Future Work
References
An Industrial Application of Data Mining Techniques to Enhance the Effectiveness of On-Line Advertising
1 Introduction
2 Methodology
3 The Experiments
4 Conclusions
References