• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.

• (The)Study of the Eastern Classic
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• no.71
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• pp.147-180
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• 2018

Seokjeong JEONG-JIK LEE is a scholar who tried to render a form of service for his country by writing works of literature during the crisis of the Period of Modern Enlightenment. He mainly expressed his perception of reality through an evaluation of historical figures. He left behind a text on the Analects of Confucius, which is known as the '10 questions and answers regarding the Analects of Confucius', in his posthumous work. It seems that he wrote it to be used as lecture material for his students. The purpose of this thesis is to analyze his recognition to the Analects of Confucius and its learning direction expressed in the writing '10 questions and answers regarding the Analects of Confucius'. With respect to the word ren(仁), which is the most fundamental concept of the Analects, he viewed his life in an introspective way from the standpoint of a 'Hoinyupe(好仁有蔽)', which means that if you like kindness and fairness but don't like learning it, then there will be negative effects, and through the 'Gwangwajiin(觀過知仁)', which means that you will know for sure kindness and fairness when you observe wrongdoing, not the general viewpoint of 'Humaneness or Love'. He tried to determine the meaning of ren, and virtue(德) through a common denominator from an overall point of view. It might have been a reflection of his thoughts that a sound comprehension of powerful countries was needed. In terms of relationship between Gunja(君子) and Myeong(命), Gunja needs to make constant efforts to understand Myeong as a talented person who can maintain order. The direction of learning was examined under three categories: Jongipjibang (從入之方), Gunjajiryu(君子之類), and Sumunihae(隨文而解). Jongipjibang is defined as a way to complement the weaknesses of leaners according to their characteristics and it promotes a focus on pushing ethics into practice rather than acquiring knowledge as it is today. Gunja was classified into 3 stages. However, it merely provides standards to help learners' understandings, so not all students may fall into these stages. Sumunihae gives explanations of commentaries on the book. Seokjeong remarked that the meaning was not different even if the same concept was annotated differently in the "Four Books". This is because the context was emphasized according to the principle of 'Sosisojeol Pilchakpilseom (所始所切, 必着必贍)'.

• The Korean Journal of Air & Space Law and Policy
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• v.31 no.2
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• pp.177-214
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• 2016

During more than 20 years of practice, Civil Aviation Law has experienced three times of amendments since it was enacted in 1995. But these revisions are limited to the technical level. The problems and limitations have become increasingly prominent in its implementation. Firstly, the civil aviation law is the result of interests game among several departments and some legal issues was left behind and the regulation was very vague as a result. Secondly, the process of aviation legislation is the process that the country has undergone profound changes and social transformation. The 20 years is long enough for the society to undergo tremendous changes and 1995 version of civil aviation law does not keep pace of development of economy. There was a serious lag between reality and the law. In order to actively promote the development of the aviation industry and overcome implementation issues of the Civil Aviation Law, Civil Aviation Administration of China (CAAC) initiated modification procedure the law and published new draft of Civil Aviation Law in August 2016. The spirit of this modification is to learn and absorb new achievements of domestic and foreign legislation and the International Convention on civil aviation. Furthermore, the purpose of the revision is to provide favorable policy for the development of civil aviation industry and improve aviation safety and supervision, strengthen and protection of consumer rights and interests, to enhance the safety of civil aviation activities, and promote the development of general aviation. This revision concerned to the 78 articles which are revised or deleted and 24 articles added. The highlights of the draft include but not limited to the enhancement of security management, clarification of the main responsibility for production safety. And also it added the provisions related to the construction of effective tracking capability of public air transport enterprises and license system on the transport of dangerous goods. Compared with the existing civil aviation law, the draft has made a great improvements. But there are several deficiencies and limitations in the drafts. These problems need to be supplemented and perfected through further amendments in near future.