Research and Development in Intelligent Systems XXXIII (eBook)

Incorporating Applications and Innovations in Intelligent Systems XXIV

Max Bramer, Miltos Petridis (Herausgeber)

eBook Download: PDF

2016 | 1st ed. 2016
XIV, 397 Seiten
Springer International Publishing (Verlag)
978-3-319-47175-4 (ISBN)

Infos

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 Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.

 

Inhalt

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)

 

Produkt-Details

• Erscheint lt. Verlag: 14.11.2016
• Zusatzinfo: XIV, 397 p. 98 illus.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Schlagworte: Data Mining • Intelligent Systems • Knowledge Acquisition • Knowledge Discovery • machine learning
• ISBN-10: 3-319-47175-9 / 3319471759
• ISBN-13: 978-3-319-47175-4 / 9783319471754