TEMPORARY REMOVAL: Big Data analytics: Computational intelligence techniques and application areas

∗ Corresponding author at: Interactive Coventry Limited, Coventry University Technology Park, Puma Way, Coventry CV1 2TT, United Kingdom. E-mail addresses: r.iqbal@interactivecoventry.com, r.iqbal@coventry.ac.uk (R. Iqbal), dr.faiyaz@interactivecoventry.com, faiyaz.doctor@coventry.ac.uk (F. Doctor), BMore@cad.coventry.ac.uk (B. More), sm@interactivecoventry.com (S. Mahmud), usman.yousuf@interactivecoventry.com (U. Yousuf).

[1]  Brent Lance,et al.  Optimal Arousal Identification and Classification for Affective Computing Using Physiological Signals: Virtual Reality Stroop Task , 2010, IEEE Transactions on Affective Computing.

[2]  Victor I. Chang,et al.  A Fuzzy Modelling Approach of Emotion for Affective Computing Systems , 2016, IoTBD.

[3]  Rafael A. Calvo,et al.  Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications , 2010, IEEE Transactions on Affective Computing.

[4]  Jiankun Hu,et al.  Biometric Security , 2015 .

[5]  Nik Bessis,et al.  Big data‐based extraction of fuzzy partition rules for heart arrhythmia detection: a semi‐automated approach , 2016, Concurr. Comput. Pract. Exp..

[6]  Hani Hagras,et al.  A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[7]  John A. Sokolowski,et al.  Modeling population displacement in the Syrian city of Aleppo , 2014, Proceedings of the Winter Simulation Conference 2014.

[8]  Qiang Chen,et al.  Design of a terminal solution for integration of in-home health care devices and services towards the Internet-of-Things , 2015, Enterp. Inf. Syst..

[9]  Rahat Iqbal,et al.  Type-2 fuzzy sets applied to multivariable self-organizing fuzzy logic controllers for regulating anesthesia , 2016, Appl. Soft Comput..

[10]  Atsushi Iwata,et al.  A Convolutional Neural Network VLSI for Image Recognition Using Merged/Mixed Analog-Digital Architecture , 2004, KES.

[11]  Long Jiang,et al.  User-level sentiment analysis incorporating social networks , 2011, KDD.

[12]  Victor I. Chang,et al.  Towards a Big Data system disaster recovery in a Private Cloud , 2015, Ad Hoc Networks.

[13]  Rahat Iqbal,et al.  An intelligent framework for monitoring student performance using fuzzy rule-based Linguistic Summarisation , 2012, 2012 IEEE International Conference on Fuzzy Systems.

[14]  Rahat Iqbal,et al.  A fuzzy ambient intelligent agents approach for monitoring disease progression of dementia patients , 2012, Journal of Ambient Intelligence and Humanized Computing.

[15]  Tara N. Sainath,et al.  Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups , 2012, IEEE Signal Processing Magazine.

[16]  Rafael S. Parpinelli,et al.  New inspirations in swarm intelligence: a survey , 2011, Int. J. Bio Inspired Comput..

[17]  Rosa M. Carro,et al.  Sentiment analysis in Facebook and its application to e-learning , 2014, Comput. Hum. Behav..

[18]  Ying Wah Teh,et al.  Big data reduction framework for value creation in sustainable enterprises , 2016, Int. J. Inf. Manag..

[19]  Victor I. Chang,et al.  A cybernetics Social Cloud , 2017, J. Syst. Softw..

[20]  Yi-Hung Huang,et al.  Feature selection based on an improved cat swarm optimization algorithm for big data classification , 2016, The Journal of Supercomputing.

[21]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[22]  A. Haines,et al.  The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis , 2013, PLoS medicine.

[23]  Li Bing,et al.  A Fuzzy Logic Approach for Opinion Mining on Large Scale Twitter Data , 2014, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing.

[24]  John Langford,et al.  Scaling up machine learning: parallel and distributed approaches , 2011, KDD '11 Tutorials.

[25]  Victor I. Chang,et al.  Model and experimental development for Business Data Science , 2016, Int. J. Inf. Manag..

[26]  Yoshua. Bengio,et al.  Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..

[27]  Rahat Iqbal,et al.  Cloud enabled data analytics and visualization framework for health-shocks prediction , 2016, Future Gener. Comput. Syst..

[28]  Muthu Ramachandran,et al.  Cloud Computing Adoption Framework – a security framework for business clouds , 2015 .

[29]  Nabil Ahmed Sultan,et al.  Making use of cloud computing for healthcare provision: Opportunities and challenges , 2014, Int. J. Inf. Manag..

[30]  Victor I. Chang,et al.  The Business Intelligence as a Service in the Cloud , 2014, Future Gener. Comput. Syst..

[31]  Shan Suthaharan,et al.  Big data classification: problems and challenges in network intrusion prediction with machine learning , 2014, PERV.

[32]  Colin Tankard,et al.  Big data security , 2012, Netw. Secur..

[33]  Alejandro Tirachini,et al.  Estimation of travel time and the benefits of upgrading the fare payment technology in urban bus services , 2013 .

[34]  Lillian Lee,et al.  Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..

[35]  N. B. Anuar,et al.  The rise of "big data" on cloud computing: Review and open research issues , 2015, Inf. Syst..

[36]  Dennis D. Hirsch.  The Glass House Effect: Big Data, the New Oil, and the Power of Analogy , 2014 .

[37]  Victor Chang,et al.  TEMPORARY REMOVAL: An overview, examples and impacts offered by Emerging Services and Analytics in Cloud Computing , 2015 .

[38]  Anne E. James,et al.  ARREST: From work practices to redesign for usability , 2011, Expert Syst. Appl..

[39]  Xue-wen Chen,et al.  Big Data Deep Learning: Challenges and Perspectives , 2014, IEEE Access.

[40]  Muthu Ramachandran,et al.  Towards Achieving Data Security with the Cloud Computing Adoption Framework , 2016, IEEE Transactions on Services Computing.

[41]  Rahat Iqbal,et al.  Automated intelligent system for sound signalling device quality assurance , 2015, Inf. Sci..

[42]  Geoffrey E. Hinton,et al.  Reducing the Dimensionality of Data with Neural Networks , 2006, Science.

[43]  Peter Ilves,et al.  Digital mental health services in general practice. , 2015, The British journal of general practice : the journal of the Royal College of General Practitioners.

[44]  Robert Barrett,et al.  Toward V2I communication technology-based solution for reducing road traffic congestion in smart cities , 2015, 2015 International Symposium on Networks, Computers and Communications (ISNCC).

[45]  Neil Y. Yen,et al.  State transition in communication under social network: An analysis using fuzzy logic and Density Based Clustering towards big data paradigm , 2016, Future Gener. Comput. Syst..

[46]  Anne E. James,et al.  An intelligent framework for monitoring students Affective Trajectories using adaptive fuzzy systems , 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[47]  Nor Badrul Anuar,et al.  TEMPORARY REMOVAL: Information fusion in social big data: Foundations, state-of-the-art, applications, challenges, and future research directions , 2016 .

[48]  Harleen Kaur,et al.  An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis , 2015 .

[49]  Anne E. James,et al.  An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images , 2016, Neurocomputing.

[50]  Fei-Yue Wang,et al.  Traffic Flow Prediction With Big Data: A Deep Learning Approach , 2015, IEEE Transactions on Intelligent Transportation Systems.

[51]  Rahat Iqbal,et al.  Automated Sound Signalling Device Quality Assurance Tool for Embedded Industrial Control Applications , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

[52]  Victor I. C. Chang,et al.  A Proposed Framework for Cloud Computing adoption , 2016, Int. J. Organ. Collect. Intell..

[53]  L. Darrell Whitley,et al.  An overview of evolutionary algorithms: practical issues and common pitfalls , 2001, Inf. Softw. Technol..

[54]  Nor Badrul Anuar,et al.  The role of big data in smart city , 2016, Int. J. Inf. Manag..

[55]  Tara N. Sainath,et al.  Parallel Deep Neural Network Training for Big Data on Blue Gene/Q , 2017, IEEE Transactions on Parallel and Distributed Systems.

[56]  Md. Rafiqul Islam,et al.  Evolutionary optimization: A big data perspective , 2016, J. Netw. Comput. Appl..

[57]  Riccardo Poli,et al.  A Field Guide to Genetic Programming , 2008 .

[58]  Jiann-Shing Shieh,et al.  Performance Analysis of Extracted Rule-Base Multivariable Type-2 Self-Organizing Fuzzy Logic Controller Applied to Anesthesia , 2014, BioMed research international.

[59]  László Monostori,et al.  AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing , 2003 .

[60]  T. Murdoch,et al.  The inevitable application of big data to health care. , 2013, JAMA.

[61]  Darrell Whitley,et al.  A genetic algorithm tutorial , 1994, Statistics and Computing.

[62]  Anne E. James,et al.  Integration, optimization and usability of enterprise applications , 2012, Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

[63]  Andreas Tolk,et al.  The next generation of modeling & simulation: integrating big data and deep learning , 2015, SummerSim.

[64]  G. Borghini,et al.  Neuroscience and Biobehavioral Reviews , 2022 .

[65]  Victor Chang,et al.  A review and future direction of agile, business intelligence, analytics and data science , 2016, Int. J. Inf. Manag..

[66]  Victor I. Chang,et al.  A model to compare cloud and non-cloud storage of Big Data , 2016, Future Gener. Comput. Syst..