Asia Pacific Journal of Information Systems (APJIS)

menu05_sub01_ov.gif

Share this page

Past Issue

Date	March 2015
Vol. No.	Vol. 25 No. 1
DOI	http://dx.doi.org/10.14329/apjis.2015.25.1.083
Page	83~97
Title	An Intelligent Exhibition Rule Management System using PMML
Author	Hyun Sil Moon, Yoon Ho Cho, Jae Kyeong Kim
Keyword	PMML, Data Mining, Predictive Model, Exhibition Marketing, Rule Management System
Abstract	Recently, the exhibition industry has developed rapidly with the development of information technologies. Most exhibitors in an exhibition plan and deploy many events that may provide advantages to visitors as a method of effective promotion. The growth and propagation of wireless technologies is a powerful marketing tool for exhibitors. However, exhibitors still rely on domain experts who are costly and time consuming because of the manual knowledge input procedure. Moreover, it is prone to biases and errors and not suitable for managing fast-growing and tremendous amounts of data that far exceed a humans ability to comprehend. To overcome these problems, data mining technology may be a great alternative, but it needs to be fit to each exhibition. This study uses data mining technology with the Predictive Model Markup Language (PMML) to suggest a system that supports intelligent services and that improves stakeholder satisfaction. This system provides advantages to the exhibitor, show organizer, and system designer, and is first enhanced by integrating data mining technologies through the knowledge of exhibition experts. Second, using the PMML, the system can automate the process of applying data mining models to solve real-time processing problems in the exhibition environment.

Home l Site Map l Abstracting/Indexing l FAQ l Publisher l Contact Us l Admin Login

© 2013 The Korean Society of Management Information Systems. All rights reserved.