• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.149-154
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• 2003

Credit scoring system (CSS) starts from an analysis of delinquency trend of each individual or industry. This paper conducts a research on credit card delinquency of bank customers as a preliminary step for building effective credit scoring system to prevent excess loan or bad credit status. To serve this purpose, we use association rules that ore generating method. Specifically, we generate sets of rules of customers who are in bad credit status because of delinquency by using association rules. We expect that the sets of rules generated by association rules could act as an estimator of good or bad credit status classifier.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.1
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• pp.10-19
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• 2013

Dispatching rule plays an important role in a hybrid flow shop. Finding the appropriate dispatching rule becomes more challenging when there are multiple criteria, uncertain demands, and dynamic manufacturing environment. Using a single dispatching rule for the whole shop or a set of rules based on a single criterion is not sufficient. Therefore, a multi-criteria decision making technique using 'the order preference by similarity to ideal solution' (TOPSIS) and 'analytic hierarchy process' (AHP) is presented. The proposed technique is aimed to find the most suitable set of dispatching rules under different manufacturing scenarios. A simulation based case study on a PCB manufacturing process is presented to illustrate the procedure and effectiveness of the proposed methodology.

• IE interfaces
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• v.20 no.1
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• pp.79-86
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• 2007

In B2B e-commerce environments, many initiatives for process modeling have made efforts to design business processes correctly. Especially, Petri nets have been widely used as a good theory to design and verify process models. Therefore, we propose the process modeling method for the B2B e-commerce based on Petri nets. First of all, a B2B process model based on BPSS is represented by the UML activity diagram. Second, the activity diagram is transformed to a Petri net model. For the transformation, well-behaved building blocks/control structures and the modeling rules for inter-organizational workflow processes are proposed. Third, the process is partitioned into sharable processes for individual business partners. Finally, according to needs of individual business partners, the sharable processes are modified by well-structured refinement rules. The whole procedure is explained with the purchase process of an e-bookstore.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.197-204
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• 2019

The transfer pricing mechanism is a tool commonly used to transfer the tax base from countries with high taxation in countries with low taxation. In many countries, this financial operations generate significant tax revenue losses. In an attempt to limit tax revenue losses, many public authorities have introduced regulations on transfer pricing, but the effectiveness of these rules has proved limited, and they contributed to the increasing complexity of tax laws and to the appearance of additional costs for companies. Historically, transfer pricing (TP) was not a substantial issue in Mongolia. The tax legislation contains basic TP rules, but there is limited guidance and enforcement in practice. At the moment, Mongolian tax authorities are not conducting specific transfer pricing audits. Nevertheless, tax authorities are starting to pay more attention to transactions between related parties and potential transfer pricing adjustments. This study examines a transfer pricing regulations of Mongolia.

• Journal of information and communication convergence engineering
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• v.1 no.3
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• pp.150-156
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• 2003

This paper explored the use of an algorithm for the data mining and method in handling missing data which had generated enhanced association patterns observed using the data illustrated here. The evaluations showed that more association patterns are generated in the second analysis which suggests more meaningful rules than in the first situation. It showed that the model offer more precise and important association rules that is more valuable when applied for business decision making. With the discovery of accurate association rules or business patterns, strategies could be efficiently planned out and implemented to improve marketing schemes. This investigation gives rise to a number of interesting issues that could be explored further like the effect of outliers and missing data for detecting fraud and devious database entries.

• International Commerce and Information Review
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• v.7 no.3
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• pp.231-246
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• 2005

Concerning the regulation of Internet service and the control of electronic commerce in China, It has not specific regulation and various rules or measures to enforce it yet. The common regulatory measures are that online business in some special areas must acquire a license or approval from relative agencies in advance. But whether licensing is an effect regulatory measure still takes time to verify. Accordingly these measures must be unified or coordinated to be enforced effectively. In order to encourage the development of E-Commerce, China will need to focus on developing rules that take advantage of the internet to encourage the economy, and establishing new legal rules or amending the traditional law to create a safe and secure legal environment for online transactions.

• Journal of the Korea Convergence Society
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• v.3 no.2
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• pp.19-26
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• 2012

In accordance with the advent of smartphone and the growth of the Mobile App market, the Mobile game industry is being reorganized. So, This study is to be know the association rules between mobile game apps and mobile apps. Accordingly, To promote the Mobile Game App based on advertisement effectiveness that can be obtained from the characteristics of the game by finding out what to investigate.

• The Journal of Society for e-Business Studies
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• v.4 no.1
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• pp.21-36
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• 1999

Using user monitoring techniques on web, marketing decision makers in cyber shopping malls can gather customer behavior data as well as sales transaction data and customer profiles. In this paper, we present a marketing rule extraction technique for customer behavior analysis in cyber shopping malls, The technique is an application of market basket analysis which is a representative data mining technique for extracting association rules. The market basket analysis technique is applied on a customer behavior log table, which provide association rules about web pages in a cyber shopping mall. The extracted association rules can be used for mall layout design, product packaging, web page link design, and product recommendation. A prototype cyber shopping mall with customer monitoring features and a customer behavior analysis algorithm is implemented using Java Web Server, Servlet, JDBC(Java Database Connectivity), and relational database on windows NT.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.54
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• pp.27-36
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• 2000

The problem of discovering association rules is an emerging research area, whose goal is to extract significant patterns or interesting rules from large databases and several algorithms for mining association rules have been applied to item-oriented sales transaction databases. Data warehouses and OLAP engines are expected to be widely available. OLAP and data mining are complementary; both are important parts of exploiting data. Our study shows that data cube is an efficient structure for mining association rules. OLAP databases are expected to be a major platform for data mining in the future. In this paper, we present an efficient and effective algorithm for mining association rules using data cube. The algorithm can be applicable to enhance the power of competitiveness of business organizations by providing rapid decision support and efficient database marketing through customer segmentation.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.332-335
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• 2004

Issues ·Bottom-up v.s. Top-down Development ＆ Evaluation ·Syntax-Directed v.s. Conceptual Modeling -Reusing and Easy understanding -User friendliness and Concrete Rules ·No Aligned Rules and Guidelines for Developing Document Structures from Conceptual Information Models(omitted)