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Representation by levels: An alternative to fuzzy sets for fuzzy data mining
Fuzzy Sets and Systems, 2020 In this paper we describe and discuss the main contributions of the representation by levels approach to fuzzy data mining. Representation by levels is an alternative representation of fuzziness in information and data, which is complementary to fuzzy sets in the sense that it provides tools and algebraic structures beyond the capabilities of fuzzy set
Carlos Molina 0001 +2 more
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Fuzzy sets in machine learning and data mining [PDF]
Applied Soft Computing, 2011 Machine learning, data mining, and several related research areas are concerned with methods for the automated induction of models and the extraction of interesting patterns from empirical data. Automated knowledge acquisition of that kind has been an essential aspect of artificial intelligence since a long time and has more recently also attracted ...
Eyke Hüllermeier
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Temporal-Based Fuzzy Utility Mining
IEEE Access, 2017 In recent years, fuzzy utility mining has become an area of interest due to advancement of human reasoning. With regards to real applications, transactions in a database often involve things, such as transaction time, stamp, and much more.
Wei-Ming Huang +4 more
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Top-k Average Utility Co-location Pattern Mining of Fuzzy Features [PDF]
Jisuanji kexue yu tansuo, 2022 The spatial co-location pattern refers to a subset of non-empty spatial features whose instances are frequently located together in a spatial neighborhood.
LI Jinhong, WANG Lizhen, ZHOU Lihua
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THE IMPLEMENTATION OF HESITANT FUZZY SPATIAL CO-LOCATION PATTERN MINING ALGORITHM BASED ON PYTHON [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 As one of the important research directions in the spatial data mining, spatial co-location pattern mining aimed at finding the spatial features whose the instances are frequent co-locate in neighbouring domain.
Z. W. Liu +7 more
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Finding Pareto-front Membership Functions in Fuzzy Data Mining [PDF]
International Journal of Computational Intelligence Systems, 2012 Transactions with quantitative values are commonly seen in real-world applications. Fuzzy mining algorithms have thus been developed recently to induce linguistic knowledge from quantitative databases.
Chun-Hao Chen +2 more
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IEEE Access, 2022 The field of data mining is progressing rapidly presenting researchers with many opportunities for research. Sequential pattern mining is a popular and long established technique in data mining which extracts data in the form of sequential patterns ...
Ritika, Sunil Kumar Gupta
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Performance Evaluation of Tourism Human Resource Management Based on Fuzzy Data Mining
Journal of Mathematics, 2022 Tourism human resources performance management is an important means of enterprise core competitiveness; the assessment results is good or bad will directly affect the staff's work enthusiasm and attitude; the use of tourism human resources ...
Fei Wei
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Data Mining Using Association Rules for Intuitionistic Fuzzy Data
Information, 2023 This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data.
Frederick Petry, Ronald Yager
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Knowledge Engineering and Data Science, 2022 Social media mining is an emerging technique for analyzing data to extract valuable knowledge related to various domains. However, traditional text matching techniques, such as exact matching, are not always suitable for social media data, which can ...
Ida Bagus Putra Manuaba +4 more
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