Affective design using machine learning: a survey and its prospect of conjoining big data

QR Code

Affective design using machine learning: a survey and its prospect of conjoining big data

© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. Customer satisfaction in purchasing new products is an important issue that needs to be addressed in today’s competitive markets. A product with good affective design excites consumer emotional feelings to buy the product. A...

Full description

Bibliographic Details
Main Authors:	Chan, Kit Yan, Kwong, C., Wongthongtham, Pornpit, Jiang, H., Fung, C., Abu-Salih, B., Liu, Z., Wong, T., Jain, P.
Format:	Journal Article
Published:	Taylor & Francis Group 2018
Online Access:	http://hdl.handle.net/20.500.11937/71691

Similar Items

An edge detection framework conjoining with IMU data for assisting indoor navigation of visually impaired persons
by: Chan, Kit Yan, et al.
Published: (2017)

CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor
by: Abu-Salih, B., et al.
Published: (2018)

Ontology-based approach for identifying the credibility domain in social Big Data
by: Wongthongtham, Pornpit, et al.
Published: (2018)

Twitter mining for ontology-based domain discovery incorporating machine learning
by: Abu-Salih, B., et al.
Published: (2018)

State-of-the-Art Ontology Annotation for Personalised Teaching and Learning and Prospects for Smart Learning Recommender Based on Multiple Intelligence and Fuzzy Ontology
by: Wongthongtham, Pornpit, et al.
Published: (2018)

Towards A Methodology for Social Business Intelligence in the era of Big Social Data incorporating Trust and Semantic Analysis
by: Salih, B., et al.
Published: (2015)

Analysis of scientific production of IoE big data research
by: Kaur, J., et al.
Published: (2018)

Social Big Data Analytics: Practices, Techniques, and Applications
by: Abu Salih, Bilal, et al.

A guided search genetic algorithm using mined rules for optimal affective product design
by: Fung, K.Y., et al.
Published: (2014)

An Approach for Time-aware Domain-based Analysis of Users Trustworthiness in Big Social Data
by: Salih, B., et al.
Published: (2015)

A modified dynamic evolving neural-fuzzy approach to modeling customer satisfaction for affective design
by: Kwong, C., et al.
Published: (2013)

An intelligent fuzzy regression approach for affective product design that captures nonlinearity and fuzziness
by: Chan, Kit Yan, et al.
Published: (2011)

Explaining Seemingly Paradoxical Consumer Experiences: Conjoining Weekly Road Rage and Church Attendance
by: Gau, L., et al.
Published: (2013)

Separation of conjoined twins from the shari'ah and common law perspectives: the legal and ethical conundrum
by: Jahn Kassim, Puteri Nemie, et al.
Published: (2015)

Separation of conjoined twins from the common law and Shari'ah perspectives: the legal and ethical conundrum
by: Jahn Kassim, Puteri Nemie, et al.
Published: (2018)

Using an evolutionary fuzzy regression for affective product design
by: Chan, Kit Yan, et al.
Published: (2010)

Ontology and trust based data warehouse in new generation of business intelligence: State-of-the-art, challenges, and opportunities
by: Wongthongtham, Pornpit, et al.
Published: (2015)

Ontology and Trust based Data Warehouse in New Generation of Business Intelligence
by: Wongthongtham, Pornpit, et al.
Published: (2015)

Recommendation systems for software engineering: A survey from software development life cycle phase perspective
by: Pakdeetrakulwong, Udsanee, et al.
Published: (2014)

Cognitive big data: survey and review on big data research and its implications. What is really “new” in big data?
by: Lugmayr, Artur, et al.
Published: (2017)

Modelling customer satisfaction for product development using genetic programming
by: Chan, Kit Yan, et al.
Published: (2009)

A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach
by: Kwong, C., et al.
Published: (2009)

A comprehensive survey on big-data research and its implications - What is really 'new' in big data? - It's cognitive big data!
by: Lugmayr, Artur, et al.
Published: (2016)

Trustworthiness in Social Big Data Incorporating Semantic Analysis, Machine Learning and Distributed Data Processing
by: Abu Salih, Bilal Ahmad Abdal Rahman
Published: (2018)

Modeling of epoxy dispensing process using a hybrid fuzzy regression approach
by: Chan, Kit Yan, et al.
Published: (2012)

An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction
by: Yeung, C., et al.
Published: (2009)

Comprehensive survey on Big Data Privacy Protection
by: BinJubeir, Mohammed, et al.
Published: (2019)

Big Healthcare Data: Survey of Challenges and Privacy
by: Mohammed, Jubeir, et al.
Published: (2020)

Ontology Annotation for Software Engineering Project Management in Multisite Distributed Software Development Environments
by: Wongthongtham, Pornpit
Published: (2017)

Tree-based classification to users’ trustworthiness in OSNs
by: Nabipourshiri, R., et al.
Published: (2018)

A Preliminary Approach to Domain-based Evaluation of Users’ Trustworthiness in Online Social Networks
by: Salih, B., et al.
Published: (2015)

Polynomial modeling for manufacturing processes using a backward elimination based genetic programming
by: Chan, Kit Yan, et al.
Published: (2010)

Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers
by: Chan, Kit Yan, et al.
Published: (2009)

A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design
by: Chan, Kit Yan, et al.
Published: (2010)

Varying Spread Fuzzy Regression for Affective Quality Estimation
by: Chan, Kit Yan, et al.
Published: (2017)

Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions
by: Abu Salih, Bilal, et al.
Published: (2019)

Editorial for Special Issue on “Hybrid Evolutionary and Swarm Techniques for Big Data Analytics and Applications”
by: Yuen, K., et al.
Published: (2018)

Big Data Challenges for the Internet of Things (IoT) Paradigm
by: Wongthongtham, P., et al.
Published: (2017)

Big Data—A New Technology Trend and Factors Affecting the Implementation of Big Data in Australian Industries
by: Issa, Tomayess, et al.
Published: (2018)

A fuzzy ordinary regression method for modeling customer preference in tea maker design
by: Chan, Kit Yan, et al.
Published: (2014)

Cannot write session to /tmp/vufind_sessions/sess_539t6qvc39d969ts1tvb64p564