Editorial Message: Special Issue on Fuzzy System in Data Mining and Knowledge Discovery: Modelling and Application

Editorial Message: Special Issue on Fuzzy System in Data Mining and Knowledge Discovery:... Int. J. Fuzzy Syst. (2017) 19(4):1157 DOI 10.1007/s40815-017-0359-1 Editorial Message: Special Issue on Fuzzy System in Data Mining and Knowledge Discovery: Modelling and Application 1 2 3 • • • Youngchul Bae Yong Soo Kim Frank Chung Hoon Rhee 4 5 Yong-Tae Kim Chin-Wang Tao Published online: 1 August 2017 Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany 2017 As the guest editors of the special issue on Fuzzy System in analysis and fuzzy systems and knowledge discovery. The Data mining and Knowledge discovery: Modelling and criteria for the review were based on technical contribu- application, we would like to publish the latest, innovative, tions, novelty and completeness. After the rigorous review and outstanding research results in the International Journal process, nine papers were accepted for publication in this of Fuzzy Systems (IJFS). Fuzzy system in data mining and IJFS special issue. All the nine papers successfully intro- knowledge discovery is an interdisciplinary area focusing duced fuzzy system in data mining, knowledge discovery upon methodologies for extracting useful knowledge from and its application. List of nine papers is as follows: ‘‘Pa- data. Data mining and knowledge discovery has studied tent Big Data Analysis Using Fuzzy Learning’’, ‘‘A Fuzzy widely research topic in the fields of artificial intelligence, System for Combining Filter Features Selection Methods’’, human interaction, knowledge management, knowledge ‘‘Information Fusion Based on Information Entropy in visualization, reliability and robustness, knowledge dis- Fuzzy Multi-source Incomplete Information System’’, ‘‘A covery with high-dimensional data, software warehouse Systematic Approach to Fuzzy-Model-Based Robust’’, and software mining, data engineering. ‘‘Feature Selection in Learning Common Sense Associa- The special issue on Fuzzy System in Data Mining and tions Using Matrix Factorization’’, ‘‘Fuzzy Modeling for Knowledge Discovery: Modelling and Application was Low-Carbon Dynamic Procurement Problem’’, ‘‘An Intel- called for papers during September 2015–March 2016. The ligent Algorithm Based on Bacteria Foraging Optimization objective of this special issue is to explore latest modelling, and Robust Fuzzy Algorithm to Analyze Asthma Data’’, ‘‘Personalized Adaptive Learner Model in E-Learning System Using FCM and Fuzzy Inference System’’ and ‘‘An & Youngchul Bae Integrated Fuzzy Trust Prediction Approach in Product ycbae@jnu.ac.kr Design and Engineering’’. Yong Soo Kim This editorial message not only delineates the paper kystj@dju.kr submission and rigorous review, but also assures the Frank Chung Hoon Rhee quality of the papers in this special issue of IJFS. As the frhee@fuzzy.hanyang.ac.kr guest editors of this special issue on data mining and Yong-Tae Kim knowledge discover, we deeply thank for the author’s ytkim@hknu.ac.kr patience and effort for revising their submissions according Chin-Wang Tao to the reviewers’ comments. cwtao@niu.edu.tw Chonnam National University, Yeosu, Korea Daejeon University, Daejeon, Korea Hanyang University, Seoul, Korea Hankyong National University, Anseong, Korea National ILan University, Yilan, Taiwan http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Fuzzy Systems Springer Journals

Editorial Message: Special Issue on Fuzzy System in Data Mining and Knowledge Discovery: Modelling and Application

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany
Subject
Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Operations Research, Management Science
ISSN
1562-2479
eISSN
2199-3211
D.O.I.
10.1007/s40815-017-0359-1
Publisher site
See Article on Publisher Site

Abstract

Int. J. Fuzzy Syst. (2017) 19(4):1157 DOI 10.1007/s40815-017-0359-1 Editorial Message: Special Issue on Fuzzy System in Data Mining and Knowledge Discovery: Modelling and Application 1 2 3 • • • Youngchul Bae Yong Soo Kim Frank Chung Hoon Rhee 4 5 Yong-Tae Kim Chin-Wang Tao Published online: 1 August 2017 Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany 2017 As the guest editors of the special issue on Fuzzy System in analysis and fuzzy systems and knowledge discovery. The Data mining and Knowledge discovery: Modelling and criteria for the review were based on technical contribu- application, we would like to publish the latest, innovative, tions, novelty and completeness. After the rigorous review and outstanding research results in the International Journal process, nine papers were accepted for publication in this of Fuzzy Systems (IJFS). Fuzzy system in data mining and IJFS special issue. All the nine papers successfully intro- knowledge discovery is an interdisciplinary area focusing duced fuzzy system in data mining, knowledge discovery upon methodologies for extracting useful knowledge from and its application. List of nine papers is as follows: ‘‘Pa- data. Data mining and knowledge discovery has studied tent Big Data Analysis Using Fuzzy Learning’’, ‘‘A Fuzzy widely research topic in the fields of artificial intelligence, System for Combining Filter Features Selection Methods’’, human interaction, knowledge management, knowledge ‘‘Information Fusion Based on Information Entropy in visualization, reliability and robustness, knowledge dis- Fuzzy Multi-source Incomplete Information System’’, ‘‘A covery with high-dimensional data, software warehouse Systematic Approach to Fuzzy-Model-Based Robust’’, and software mining, data engineering. ‘‘Feature Selection in Learning Common Sense Associa- The special issue on Fuzzy System in Data Mining and tions Using Matrix Factorization’’, ‘‘Fuzzy Modeling for Knowledge Discovery: Modelling and Application was Low-Carbon Dynamic Procurement Problem’’, ‘‘An Intel- called for papers during September 2015–March 2016. The ligent Algorithm Based on Bacteria Foraging Optimization objective of this special issue is to explore latest modelling, and Robust Fuzzy Algorithm to Analyze Asthma Data’’, ‘‘Personalized Adaptive Learner Model in E-Learning System Using FCM and Fuzzy Inference System’’ and ‘‘An & Youngchul Bae Integrated Fuzzy Trust Prediction Approach in Product ycbae@jnu.ac.kr Design and Engineering’’. Yong Soo Kim This editorial message not only delineates the paper kystj@dju.kr submission and rigorous review, but also assures the Frank Chung Hoon Rhee quality of the papers in this special issue of IJFS. As the frhee@fuzzy.hanyang.ac.kr guest editors of this special issue on data mining and Yong-Tae Kim knowledge discover, we deeply thank for the author’s ytkim@hknu.ac.kr patience and effort for revising their submissions according Chin-Wang Tao to the reviewers’ comments. cwtao@niu.edu.tw Chonnam National University, Yeosu, Korea Daejeon University, Daejeon, Korea Hanyang University, Seoul, Korea Hankyong National University, Anseong, Korea National ILan University, Yilan, Taiwan

Journal

International Journal of Fuzzy SystemsSpringer Journals

Published: Aug 1, 2017

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