Visualized Benefit Segmentation based on Supervised Self-organizing Map

DOI

Bibliographic Information

Other Title
  • 教師あり自己組織化マップによる可視化ベネフィットセグメンテーション

Description

In this study, we present a novel model to visualize benefit segmentation using supervised Self-organizing Map(SSOM). Benefit segmentation is an approach in the market segmentation which paid its attention to the benefit of customers. It is the segmentation technique which attaches importance not only to demographics such as age, sex, and an occupation but to benefit. This segmentation is considered to be a classification of customer data in the viewpoint of data mining. However, the feature understanding of customer data is difficult for many supervised learning techniques, and extraction of useful information is not easy. By employing SSOM which made the customer's benefit class information, segmentation was attained simultaneously with data visualization.

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Keywords

Details 詳細情報について

  • CRID
    1390282680687439360
  • NII Article ID
    130005474933
  • DOI
    10.11497/jasmin.2014s.0_181
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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