Saviz Mohammadnabi; Sina Mohammadnabi
Volume 9, Issue 24 , March 2012, , Pages 161-182
Abstract
This study attempted to use data mining as a powerful analytical tool to find patterns for occurrence of accidents from 1845 recorded events in safety data warehouse in one of the largest project-based organizations active in construction industry in Iran between the years 2002 and 2008. High-risk nature ...
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This study attempted to use data mining as a powerful analytical tool to find patterns for occurrence of accidents from 1845 recorded events in safety data warehouse in one of the largest project-based organizations active in construction industry in Iran between the years 2002 and 2008. High-risk nature of construction industry, Geographic expansion of the projects sites and large number of accidents are the characteristics of this organization. Predicting and preventing models for occurrence of accidents have been proposed in this study by extracting 31 traceable Association rules from recorded events. Extracting the rules, the minimum amount of confidence, support and lift indicators have been set respectively in 73%, 5% and 1 levels.
Mohammad Reza Taghva; Seyed Mojtaba Hosseini Bamakan
Volume 9, Issue 23 , December 2011, , Pages 187-207
Abstract
During the past two decades, perspective of competition in the banking industry has been changed significantly. This is due to forces such as new laws, globalization, and grows of technology and becoming bank's services to products, and significant grows in customer's demands. Therefore banks try to ...
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During the past two decades, perspective of competition in the banking industry has been changed significantly. This is due to forces such as new laws, globalization, and grows of technology and becoming bank's services to products, and significant grows in customer's demands. Therefore banks try to offer appropriate service to potential customers, and new services offer with better analysis so that with customer behavior analysis, we can predict risk of new investment and obtain appropriate segmentation of customer demand for these services. With such as analysis, company can prevent additional cost of marketing and also increase acceptance of services. Whereas decision making environment made of different factors, we need models so we can analysis more variables and also enable capability of information provision for decision making. In this paper, we present a model for analyzing the behavior of customers with self-organizing map, and discovering association rule among bank's services.
