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International Conference on Database Systems for Advanced Applications

DASFAA 2016: Database Systems for Advanced Applications pp 57–64Cite as

Similarity-Based Classification for Big Non-Structured and Semi-Structured Recipe Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9645))

Abstract

In current big data era, there has been an explosive growth of various data. Most of these large volume of data are non-structured or semi-structured (e.g., tweets, weibos or blogs), which are difficult to be managed and organized. Therefore, an effective and efficient classification algorithm for such data is essential and critical. In this article, we focus on a specific kind of non-structured/semi-structured data in our daily life: recipe data. Furthermore, we propose the document model and similarity-based classification algorithm for big non-structured and semi-structured recipe data. By adopting the proposed algorithm and system, we conduct the experimental study on a real-world dataset. The results of experiment study verify the effectiveness of the proposed approach and framework.

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Acknowledgement

This work is supported by Fundamental Research Funds of Agricultural Information Institute, Chinese Academy of Agricultural Sciences (No. 2014-J-011), and Project of Ministry of Agriculture of China “Agricultural information monitoring and early-warning”.

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Authors and Affiliations

  1. Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China

    Wei Chen

  2. Beijing Research Center for Information Technology in Agriculture, Beijing, China

    Xiangyu Zhao

  3. Key Laboratory of Agri-information Service Technology, Ministry of Agriculture, Beijing, China

    Wei Chen

  4. National Engineering Research Center for Information Technology in Agriculture, Beijing, China

    Xiangyu Zhao

Authors
  1. Wei Chen
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  2. Xiangyu Zhao
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Corresponding author

Correspondence to Xiangyu Zhao .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, China

    Hong Gao

  2. Kangwon National University, Kangwon, Korea (Republic of)

    Jinho Kim

  3. Kumamoto University, Kumamoto-shi, Japan

    Yasushi Sakurai

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Chen, W., Zhao, X. (2016). Similarity-Based Classification for Big Non-Structured and Semi-Structured Recipe Data. In: Gao, H., Kim, J., Sakurai, Y. (eds) Database Systems for Advanced Applications. DASFAA 2016. Lecture Notes in Computer Science(), vol 9645. Springer, Cham. https://doi.org/10.1007/978-3-319-32055-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-32055-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32054-0

  • Online ISBN: 978-3-319-32055-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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