Implementation of a Web-Based Intelligent Deicision Support System for Apartment Auction


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 11, pp. 2863-2874, Nov. 1999
10.3745/KIPSTE.1999.6.11.2863,   PDF Download:

Abstract

Apartment auction is a system that is used for the citizens to get a house. This paper deals with the implementation of a web-based intelligent decision support system using OLAP technique and data mining technique for auction decision support. The implemented decision support system is working on a real auction database and is mainly composed of OLAP Knowledge Extractor based on data warehouse and Auction Data Miner based on data mining methodology. OLAP Knowledge Extractor extracts required knowledge and visualizes it from auction database. The OLAP technique uses fact, dimension, and hierarchies to provide the result of data analysis by menas of roll-up, drill-down, slicing, dicing, and pivoting. Aucion Data Miner predicts a successful bid price by means of applying classification to auction database. The Miner is based on the lazy model-based classification algorithm and applies the concepts such as decision fields, dynamic domain information, and field weighted function to this algorithm to reflect the characteristics of auction database.


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Cite this article
[IEEE Style]
M. Y. Ra and H. H. Lee, "Implementation of a Web-Based Intelligent Deicision Support System for Apartment Auction," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 11, pp. 2863-2874, 1999. DOI: 10.3745/KIPSTE.1999.6.11.2863.

[ACM Style]
Min Young Ra and Hyun Ho Lee. 1999. Implementation of a Web-Based Intelligent Deicision Support System for Apartment Auction. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 11, (1999), 2863-2874. DOI: 10.3745/KIPSTE.1999.6.11.2863.