Knowledge-based reasoning and recommendation framework for intelligent decision making-Reference-Cited by-同舟云学术

Knowledge-based reasoning and recommendation framework for intelligent decision making

Published:2018-02-07 Issue:2 Volume:35 Page:e12242
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Ali Rahman¹²^ORCID,Afzal Muhammad²³,Sadiq Muhammad²,Hussain Maqbool²³,Ali Taqdir²,Lee Sungyoung²,Khattak Asad Masood⁴

Affiliation:

1. Quaid-e-Azam College of Commerce; University of Peshawar; Peshawar Khyber Pakhtunkhwa Pakistan

2. Department of Computer Engineering; Kyung Hee University (Global Campus); Yongin Gyeonggi Republic of Korea

3. College of Electronics and Information Engineering; Sejong University; Seoul Korea

4. College for Technological Innovation; Zayed University; Abu Dhabi United Arab Emirates

Funder

Zayed University Research Initiative Fund

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/exsy.12242/fullpdf

Reference72 articles.

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2. Ali , R. Sadiq , M. 2016 Knowledge-based reasoning and recommendation framework (KRF) (version 1.0) [open source]: GitHub https://github.com/intelligent-decision-support-systems

3. Ali , R. Siddiqi , M. H. Kang , B. H. Lee , S. 2015 KARE: A hybrid reasoning approach for promoting active lifestyle. Paper presented at the Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication

4. American College of Sports Medicine 2015 ACSM issues new recommendations on quantity and quality of exercise

5. Australia's Physical Activity and Sedentary Behaviour Guidelines 2014 http://www.health.gov.au/internet/main/publishing.nsf/Content/health-pubhlth-strateg-phys-act-guidelines

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