A multi-objective PSO approach of mining association rules for affective design based on online customer reviews
出版年份 2018 全文链接
标题
A multi-objective PSO approach of mining association rules for affective design based on online customer reviews
作者
关键词
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出版物
JOURNAL OF ENGINEERING DESIGN
Volume 29, Issue 7, Pages 381-403
出版商
Informa UK Limited
发表日期
2018-05-18
DOI
10.1080/09544828.2018.1475629
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features
- (2016) Haiqing Zhang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Combining local and global information for product feature extraction in opinion documents
- (2016) Liang Yang et al. INFORMATION PROCESSING LETTERS
- Understanding big consumer opinion data for market-driven product design
- (2016) Jian Jin et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Kano integrated robust design approach for aesthetical product design: a case study of a car profile
- (2016) H. C. Yadav et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data
- (2016) Sunghoon Lim et al. JOURNAL OF MECHANICAL DESIGN
- Rough set and PSO-based ANFIS approaches to modeling customer satisfaction for affective product design
- (2015) Huimin Jiang et al. ADVANCED ENGINEERING INFORMATICS
- Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data
- (2015) Suppawong Tuarob et al. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
- Latent Customer Needs Elicitation by Use Case Analogical Reasoning From Sentiment Analysis of Online Product Reviews
- (2015) Feng Zhou et al. JOURNAL OF MECHANICAL DESIGN
- Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks
- (2015) Suppawong Tuarob et al. JOURNAL OF MECHANICAL DESIGN
- Discovering and monitoring product features and the opinions on them with OPINSTREAM
- (2015) Max Zimmermann et al. NEUROCOMPUTING
- Multi-objective PSO algorithm for mining numerical association rules without a priori discretization
- (2014) Vahid Beiranvand et al. EXPERT SYSTEMS WITH APPLICATIONS
- Product weakness finder: an opinion-aware system through sentiment analysis
- (2014) Hongwei Wang et al. INDUSTRIAL MANAGEMENT & DATA SYSTEMS
- Association rule mining using binary particle swarm optimization
- (2013) K.N.V.D. Sarath et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Mining numerical association rules via multi-objective genetic algorithms
- (2013) B. Minaei-Bidgoli et al. INFORMATION SCIENCES
- A multi-objective genetic algorithm approach to rule mining for affective product design
- (2012) K.Y. Fung et al. EXPERT SYSTEMS WITH APPLICATIONS
- An ontology learning system for customer needs representation in product development
- (2012) Xingyu Chen et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Visually decomposing vehicle images: Exploring the influence of different aesthetic features on consumer perception of brand
- (2011) Charlie Ranscombe et al. DESIGN STUDIES
- Mining comparative opinions from customer reviews for Competitive Intelligence
- (2010) Kaiquan Xu et al. DECISION SUPPORT SYSTEMS
- An intelligent fuzzy regression approach for affective product design that captures nonlinearity and fuzziness
- (2010) K. Y. Chan et al. JOURNAL OF ENGINEERING DESIGN
- TACO-miner: An ant colony based algorithm for rule extraction from trained neural networks
- (2009) Lale Özbakir et al. EXPERT SYSTEMS WITH APPLICATIONS
- Decision support for the design of affective products
- (2009) Cathy Barnes et al. JOURNAL OF ENGINEERING DESIGN
- Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support
- (2008) Xiaowei Yan et al. EXPERT SYSTEMS WITH APPLICATIONS
- Application of elitist multi-objective genetic algorithm for classification rule generation
- (2007) S. Dehuri et al. APPLIED SOFT COMPUTING
- A dominance-based rough set approach to Kansei Engineering in product development
- (2007) Lian-Yin Zhai et al. EXPERT SYSTEMS WITH APPLICATIONS
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