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Improvement Scheme and Analysis of Intelligent Web-Based Housing Price Index

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Convergence and Hybrid Information Technology (ICHIT 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 310))

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Abstract

This study was intended to present the improvements of the housing price index based on the intelligent web in order to establish the right housing policy. For this purpose, it attempted to analysis the calculation procedures and problem of the Laspeyres Model and the Repeat Sales Model which are the existing index calculation method. It presented and proposed the realtime integrated model linked with the real transaction price DB newly as the improvement scheme based on the results of analysis.

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References

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Author information

Authors and Affiliations

  1. Korea Nazarene University, Cheonan, Chungnam, 331-718, Korea

    Youngwoo Nam & Junyon Kim

  2. Chonnam National University, 300 Yongbong-Dong, Buk-gu, Gwangju, 500-757, Korea

    Jinsul Kim

Authors
  1. Youngwoo Nam
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  2. Junyon Kim
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  3. Jinsul Kim
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Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Hannam University, 70 Hannamro, Daedeuk-gu, Daejeon, Korea

    Geuk Lee

  2. Computer Science and Information Systems, University of Limerick, Limerick, Ireland

    Daniel Howard

  3. University of Warsaw and Infobright Inc., Poland

    Dominik Ślęzak

  4. School of Information and Communication Engineering, Sang JI University, Wonju, Kangwon, Korea

    You Sik Hong

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© 2012 Springer-Verlag Berlin Heidelberg

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Nam, Y., Kim, J., Kim, J. (2012). Improvement Scheme and Analysis of Intelligent Web-Based Housing Price Index. In: Lee, G., Howard, D., Ślęzak, D., Hong, Y.S. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Communications in Computer and Information Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32692-9_15

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  • DOI: https://doi.org/10.1007/978-3-642-32692-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32691-2

  • Online ISBN: 978-3-642-32692-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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