TAILIEUCHUNG - Summary of Computer and Information technology doctoral thesis: Research on developing method of mining fuzzy association rules based on linguistic information and its application

Study methods of semantically expressing fuzzy concepts based the MF or other mathematical methods providing that they express the semantics of the most suitable concepts; studying methods of knowledge exploitation in general and fuzzy rules in particular; sesearch different data representations of information so that it can be exploited in ARs in a diverse and meaningful way. | MINISTRY OF EDUCATION VIETNAM ACADEMY OF AND TRAINING SCIENCE AND TECHNOLOGY GRADUATE UNIVERSITY OF SCIENCE AND TECHNOLOGY ------------------------------- NGUYEN TUAN ANH RESEARCH ON DEVELOPING METHOD OF MINING FUZZY ASSOCIATION RULES BASED ON LINGUISTIC INFORMATION AND ITS APPLICATION Major Mathematical Foundation for informatics Code 62 46 01 10 SUMMARY OF COMPUTER AND INFORMATION TECHNOLOGY DOCTORAL THESIS HA NOI 2020 List of works of author Trần Thái Sơn Nguyễn Tuấn Anh Nâng cao hiệu quả khai phá luật kết hợp mờ theo hướng tiếp cận đại số gia tử quot Kỷ yếu hội nghị quốc gia lần VI 1 về nghiên cứu cơ bản và ứng dụng công nghệ thông tin Fair - Huế 6 2013. Tran Thai Son Nguyen Tuan Anh Improve efficiency fuzzy association 2 rule using hedge algebra approach Journal of Computer Science and Cybernetics Vol 30 No 4 2014. Tran Thai Son Nguyen Tuan Anh Hedges Algebras and fuzzy partition 3 problem for qualitative attributes Journal of Computer Science and Cybernetics 2016. Tran Thai Son Nguyen Tuan Anh Partition fuzzy domain with multi- 4 granularity representation of data based on Hedge Algebra approach Journal of Computer Science and Cybernetics vol. 33 pp. 63-76 2017. 1 INTRODUCTION Nowadays there is an important research direction on which the problem of mining association rules AR is concerned and is soon developed in the direction of data mining. Specially many algorithms have been developed in different directions but mainly focused on two main directions i Improve the average speed of rule mining algorithms because this is an exponentially complex problem due to repeated database DB scans. ii Further research on the meaning of mining rules means as not all mining rules have implications for users. Fuzzy AR take the form quot If X is A then Y is B quot . quot X is A quot is called Premise quot Y is B quot is called the conclusion of the rule. 1 2 Y 1 2 is a subsection of a set of attributes I of the DB. 1 2 B 1 2 are the corresponding fuzzy sets of .

• Thạc sĩ - Tiến sĩ - Cao học
• Information technology
• Information technology doctoral thesis
• Mining fuzzy association rules
• Linguistic information
• Mathematical foundation for informatics
• Lecture Information technology project management
• Project management
• Information technology project management
• Information technology project
• Information technology context
• Agile project management
• Professional practices in information technology
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• Computer technology
• World Wide Web
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• Integrating information
• Communications technologies
• Educational technology
• Information technology education
• Distance learning technology education
• Communications technology education
• Teaching with technology
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• Information technology certification
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• Lecture Using information technology
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• Big data
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• Legal implications
• Information technology for managers
• Information technology results
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• English reading skill
• English for Information Technology
• College of Information and Communication Technology
• Thai Nguyen University
• The selected sophomore students
• IT Strategic Planning
• Enterprise Architecture TOGAF framework
• development of information technology
• use of information technology
• information technology services
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• Medium scale manufacturing companies in Indonesia
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• Finding information technology workers
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