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Data Mining and Web-Based Children Shoe Suggestion System

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U- and E-Service, Science and Technology (UNESST 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 264))

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Abstract

In this paper, we present a shoe suggestion system for children. The system stores the database about children’s shoes from K1-K3 and P1-P3. The attributes considered are types of shoes, shoe sizes, brands. Given a type of children foot and age, the system suggested the type of shoes, brands, and sizes with the confidence level. The system uses the data mining technique for the classification and prediction.

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Author information

Authors and Affiliations

  1. Department of Computing, Faculty of Science, Silpakorn University, Thailand, 73000

    P. Sudta, K. Kanchan & Chantana Chantrapornchai

Authors
  1. P. Sudta
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  2. K. Kanchan
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  3. Chantana Chantrapornchai
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Hosei University, 184-8584, Tokyo, Japan

    Jianhua Ma

  4. National Chiao Tung University, Hsinchu, Taiwan, R.O.C.

    Wai-chi Fang

  5. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

  6. Hannam University, Daejeon, Korea

    Byungjoo Park

  7. Oslo University College, Norway

    Frode Eika Sandnes

  8. Sungkyunkwan University, 110-745, Seoul, Republic of Korea

    Kun Chang Lee

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© 2011 Springer-Verlag Berlin Heidelberg

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Sudta, P., Kanchan, K., Chantrapornchai, C. (2011). Data Mining and Web-Based Children Shoe Suggestion System. In: Kim, Th., et al. U- and E-Service, Science and Technology. UNESST 2011. Communications in Computer and Information Science, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27210-3_14

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  • DOI: https://doi.org/10.1007/978-3-642-27210-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27209-7

  • Online ISBN: 978-3-642-27210-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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