Research and Development in Intelligent Systems XXXIII (eBook, PDF)

Incorporating Applications and Innovations in Intelligent Systems XXIV
Redaktion: Bramer, Max; Petridis, Miltos

• Format: PDF

Produktbeschreibung

The papers in this volume are the refereed papers presented at AI-2016, the Thirty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2016 in both the technical and the application streams.

They present new and innovative developments and applications, divided into technical stream sections on Knowledge Discovery and Data Mining, Sentiment Analysis and Recommendation, Machine Learning, AI Techniques, and Natural Language Processing, followed by application stream sections on AI for Medicine and Disability, Legal Liability and Finance, Telecoms and eLearning, and Genetic Algorithms in Action. The volume also includes the text of short papers presented as posters at the conference.

This is the thirty-third volume in the Research and Development in Intelligent Systems series, which also incorporates the twenty-fourth volume in the Applications and Innovations in Intelligent Systemsseries. These series are essential reading for those who wish to keep up to date with developments in this important field.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 397
• Erscheinungstermin: 14. November 2016
• Englisch
• ISBN-13: 9783319471754
• Artikelnr.: 53151486

Inhaltsangabe

Research and Development in Intelligent Systems XXXIII Best Technical Paper: Harnessing Background Knowledge for E-learning Recommendation B.Mbipom
S.Craw and S.Massie (Robert Gordon University
Aberdeen
UK).- Knowledge Discovery and Data Mining Category-Driven Association Rule Mining Z. Ibrahim
H. Wu (King`s College London
UK)
R. Mallah (The South London and Maudsley NHS Foundation Trust) and R. Dobson (King`s College London
UK.-Enhancing SAT-Based Itemsets Mining Imen Ouled Dlala
Said Jabbour and Lakhdar Sais (University of Artois
France) and Bouteina Ben Yaghlane (LARODEC
France.- Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes Mohammed Al-Zeyadi
Frans Coenen and Alexei Lisitsa (University of Liverpool
UK).- Sentiment Analysis and Recommendation Emotion-corpus guided Lexicons for Sentiment Analysis on Twitter Anil Bandhakavi
Nirmalie Wiratunga and Stewart Massie (Robert Gordon University
UK) and P. Deepak (Queen`s University
Belfast
UK.- Context-aware Sentiment Detection From Ratings Yichao Lu (Fudan University
Shanghai
China)
Ruihai Dong and Barry Smyth (University College Dublin
Dublin
Ireland).- Recommending with Higher-Order Factorization Machines Julian Knoll (Technische Hochschule Nürnberg
Germany).- Machine Learning Multitask Learning for Text Classification with Deep Neural Networks H. Ghodrati Noushahr and S. Ahmadi (De Montfort University
Leicester
UK).- An Investigation on Online versus Batch Learning in Predicting User Behaviour N. Burlutskiy
M. Petridis
A. Fish
A. Chernov and N. Ali (University of Brighton
UK).-A neural network test of the expert attractor hypothesis: Chaos theory accounts for individual variance in learning P. Chassy (Liverpool Hope University
UK).- AI Techniques A Fast Algorithm to Estimate the Square Root of Probability Density Function Xia Hong (University of Reading
UK)
Junbin Gao (University of Sydney
Australia).-An Incremental Approach for Identifying Communities in Dynamic Social Networks Lihua Zhou
Peizhong Yang (Yunnan University
China) and Kevin Lü (Brunel University
UK).- 3Dana: Path Planning on 3D surfaces Pablo Muñoz
María D. R-Moreno and Bonifacio Castaño (Universidad de Alcalá
Spain).-Natural Language Processing.-Covert Implementations of the Turing Test: A More Level Playing Field? D.J.H Burden (Daden Limited
UK)
M Savin-Baden and R. Bhakta (University of Worcester
UK).- Context-dependent Pattern Simplification by Extracting Context-free Floating Qualifiers M.J. Wheatman (Yagadi Ltd
UK).- Short Papers Experiments With High Performance Genetic Programming for Classification Problems Darren M. Chitty (University of Bristol
UK).-Towards Expressive Modular Rule Induction for Numerical Attributes M.Almutairi
F.Stahl
M.Jennings and T.Le (University of Reading
UK)
M.Bramer (University of Portsmouth
UK).-OPEN: New Path-Planning Algorithm for Real-World Complex Environment J.I. Olszewska and J. Toman (University of Gloucestershire
UK).- Encoding Medication Episodes for Adverse Drug Event Prediction Honghan Wu
Zina M. Ibrahim
Ehtesham Iqbal and Richard J.B. Dobson (King`s College London
UK) Applications and Innovations in Intelligent Systems XXIV Best Application Paper: A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation A.J.Starkey and H.Hagras (University of Essex
UK)
S.Shakya and G.Owusu (British Telecom
UK).- AI for Medicine and Disability SELFBACK - Activity Recognition for Self-management of Low Back Pain S. Sani
N. Wiratunga
S. Massie and K. Cooper (Robert Gordon University
UK).-A Voice Controlled Automatic Gearbox for Disabled People Mohammed K Mustafa
Paul Evans
Tony Allen
Kofi Appiah and Fatima Mustafa (Nottingham Trent University
UK).- Legal Liability and Finance Artificial Intelligence and Legal Liability J.K.C. Kingston (University of Brighton
UK).- Automated Sequence Tagging: Applications in Financial Hybrid Systems Peter Hampton
William Blakburn
Hui Wang and Zhiwei Lin (Ulster University).- Telecoms and eLearning A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network Chris Wrench (University of Reading
UK)
Frederic Stahl (University of Reading)
Thien Le (University of Reading)
Vidhyalakshmi Karthikeyan (BT Research and Innovation) and Detlef Nauck (BT Research and Innovation).- Towards Keystroke Continuous Authentication Using Time Series Analytics Abdullah Alshehri and Frans Coenen and Danushka Bollegala (University of Liverpool).- Genetic Algorithms in Action EEuGene: Employing Electroencephalograph Signals in the Rating Strategy of a Hardware- Based Interactive Genetic Algorithm C.James-Reynolds and E.Currie (Middlesex University
UK).- Spice Model Generation from EM Simulation Data using Integer Coded Genetic Algorithms J. Werner and L. Nolle (Jade University of Applied Sciences
Germany) Short Papers Dendritic Cells for Behaviour Detection in Immersive Virtual Reality Training N. M.Y. Lee
R.H.K. Wong
W.W.L. Tam
L.K.Y. Chan & H.Y. K. Lau (The University of Hong Kong) .- Interactive Evolutionary Generative Art L.Hernandez Mengesha and C.James-Reynolds (Middlesex University
UK).- Incorporating emotion and personality-based analysis in user-centered modelling Mohamed Mostafa
Tom Crick
Ana C. Calderon (Cardiff Metropolitan University
UK) and Giles Oatley (Murdoch University
Australia).- An Industrial application of Data Mining Techniques to Enhance the Effectiveness of On-line Advertising Maria Diapouli
Miltos Petridis
Roger Evans (University of Brighton
UK)
Tony Evans (CRIMEAN Ltd) and Stelios Kapetanakis (University of Brighton
UK).- Aggregated Activity Recognition Using Smart Devices Walid Mohamed Aly
Khaled Eskaf and Alyaa Aly (Arab Academy for Science and Technology
Egypt)