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International Conference on Machine Learning, Image Processing, Network Security and Data Sciences

MIND 2020: Machine Learning, Image Processing, Network Security and Data Sciences pp 1–10Cite as

Mining Composite Fuzzy Association Rules Among Nutrients in Food Recipe

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1241))

Abstract

Association Rule Mining is a data mining technique to discover associations among attributes of data in the form of if.. then rules in large databases of transactions. Fuzzy Association Rule Mining (FARM) emerged as a significant research area and is an extension of classical association rule mining which applies Fuzzy set theory to address the uncertainty in the case of categorical data. Different algorithms are proposed for Fuzzy Association Rule Mining and applied in different domains. Composite Fuzzy Association Rule Mining (CFARM) is one of the algorithms based on the concept of composite data items. In this paper Composite Fuzzy association rule mining technique is applied on different recipes containing their nutrient values. The recipes considered are prepared from green leafy vegetables, other vegetables and recipes of Fish and Meat. The recipes are combination of nutrient attributes like moisture, protein, fat carbohydrates etc. and micronutrient combination of some nutrient attribute like calcium, iron, vitamin and moisture etc. The Composite Fuzzy Association Rule Mining algorithm is applied to discover association among the nutrients values in the recipes. This paper contains an overview of CFARM algorithm and a composite dataset is prepared to generate rules. Experimental results are presented and analyzed with different measures of interestingness along with scope of future works.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Assam University, Silchar, Assam, India

    Rajkamal Sarma & Pankaj Kumar Deva Sarma

Authors
  1. Rajkamal Sarma
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  2. Pankaj Kumar Deva Sarma
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Corresponding author

Correspondence to Pankaj Kumar Deva Sarma .

Editor information

Editors and Affiliations

  1. National Institute of Technology Silchar, Silchar, India

    Arup Bhattacharjee

  2. National Institute Of Technology Silchar, Silchar, India

    Samir Kr. Borgohain

  3. National Institute of Technology Silchar, Silchar, India

    Badal Soni

  4. National Institute of Technology Kurukshetra, Kurukshetra, India

    Gyanendra Verma

  5. University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

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© 2020 Springer Nature Singapore Pte Ltd.

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Sarma, R., Sarma, P.K.D. (2020). Mining Composite Fuzzy Association Rules Among Nutrients in Food Recipe. In: Bhattacharjee, A., Borgohain, S., Soni, B., Verma, G., Gao, XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1241. Springer, Singapore. https://doi.org/10.1007/978-981-15-6318-8_1

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  • DOI: https://doi.org/10.1007/978-981-15-6318-8_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6317-1

  • Online ISBN: 978-981-15-6318-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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