• Journal of the Korean Data and Information Science Society
• /
• 제16권2호
• /
• pp.207-216
• /
• 2005

One of the well-studied problems in data mining is the search for association rules. Association rules are useful for determining correlations between attributes of a relation and have applications in marketing, financial and retail sectors. There are three criteria of association rule; support, confidence, lift. The goal of association rule mining is to find all the rules with support and confidence exceeding some user specified thresholds. We can know there is association between two items by the criteria of association rules. But we can not know the degree of association between two items. In this paper we examine the relation between the measures of association and the criteria of association rule for ordinal data.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• 제58권4호
• /
• pp.832-839
• /
• 2009

In this paper, we introduce an design of fuzzy relation-based fuzzy neural networks with multi-output. Fuzzy relation-based fuzzy neural networks comprise the network structure generated by dividing the entire input space. The premise part of the fuzzy rules of the network reflects the relation of the division space for the entire input space and the consequent part of the fuzzy rules expresses three types of polynomial functions such as constant, linear, and modified quadratic. For the multi-output structure the neurons in the output layer were connected with connection weights. The learning of fuzzy neural networks is realized by adjusting connections of the neurons both in the consequent part of the fuzzy rules and in the output layer, and it follows a back-propagation algorithm. In addition, in order to optimize the network, the parameters of the network such as apexes of membership functions, learning rate and momentum coefficient are automatically optimized by using real-coded genetic algorithm. Two examples are included to evaluate the performance of the proposed network.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• 제3권1호
• /
• pp.57-62
• /
• 2010

This paper proposes two methods for the construction of job offer and job hunting information in order to supply an environment that can easily connects to job hunting information. First, the database expansion, category rules and ERD(Entity Relation Diagram) are designed for the construction of job hunting site with real example. Second, the prime number labeling rules are designed for the strong intimacy of label rules. Therefore, according to using the systematic and regular rules when we design and construct a database, the consistency and efficiency are improved in the database being constructed and being operated. And the convenience of application program development and operation are easily provided. In addition, the proposed code-expansion rule can be defined and be standardized in the domestic and foreign job offer and job hunting information provision agency.

• 한국데이터정보과학회:학술대회논문집
• /
• 한국데이터정보과학회 2003년도 추계학술대회
• /
• pp.197-213
• /
• 2003

One of the well-studied problems in data mining is the search for association rules. The goal of association rule mining is to find all the rules with support and confidence exceeding some user specified thresholds. In this paper we consider the relation between the measure of association and the criteria of association rule for ordinal data.

• International Commerce and Information Review
• /
• 제14권3호
• /
• pp.481-511
• /
• 2012

Incoterms 2010 Rules consist of 11 rules. The 11 rules are presented in "rules for any mode or modes of transport" and "rules for sea and inland waterway transport". The each rule of Incoterms 2010 rules has the guidance note, 10 articles(A1~A10) in relation to the seller's obligations and 10 articles(B1~B10) in relation to the buyer's obligations. The A6 and B6 of Incoterms 2010 rules, likewise previous Incoterms rules, have the article of allocations of costs. These articles of Incoterms 2010 rules provide the allocation of costs between the seller and the buyer. According to These A6 and B6, in principle, the seller must pay all costs relating to the goods until they have been delivered in accordance with A4, and the buyer must pay all costs relating to the goods from the time they have been delivered as envisaged in A4. The purpose of this paper is, therefore, to analyze the clauses of allocation of costs in Incoterms 2010 and to provide the problems of the clauses.

• International Commerce and Information Review
• /
• 제9권2호
• /
• pp.351-371
• /
• 2007

This study article is a study on the rules of origin review and rules of origin judgement. and The purpose of this article shall be studies to korea foreign law and Korea American FTA in origin country regulation. this article are two most important elements in determining market access in a FTA. that is the coverage of tariff elimination and rules of origin. The rule of origin in a FTA greatly influences the creation of economic profit and distribution. Therefor, The Result of the article is review to protection of domestic customers and domestic industries in rules of origin. This study contributes to a understanding of judgement of rules of origin and extend level of generalization of exchange law, WTO, FTA Regulations by review interaction relation.

• Journal of KIISE:Databases
• /
• 제28권3호
• /
• pp.301-314
• /
• 2001

Data mining refers to a set of techniques for discovering implicit and useful knowledge from large database. Many studies on data mining have been pursued and some of them have involved issues of temporal data mining for discovering knowledge from temporal database, such as sequential pattern, similar time sequence, cyclic and temporal association rules, etc. However, all of the works treat problems for discovering temporal pattern from data which are stamped with time points and do not consider problems for discovering knowledge from temporal interval data. For example, there are many examples of temporal interval data that it can discover useful knowledge from. These include patient histories, purchaser histories, web log, and so on. Allen introduces relationships between intervals and operators for reasoning about relations between intervals. We present a new data mining technique that can discover temporal relation rules in temporal interval data by using the Allen's theory. In this paper, we present two new algorithms for discovering algorithm for generating temporal relation rules, discovers rules from temporal interval data. This technique can discover more useful knowledge in compared with conventional data mining techniques.

• Proceedings of the Korea Contents Association Conference
• /
• 한국콘텐츠학회 2008년도 춘계 종합학술대회 논문집
• /
• pp.84-86
• /
• 2008

The customer relation marketing in which companies can utilize to control and to get the filtered information efficiently has appeared. It is applying data mining to build the management that can even predict and recommend products to customers. In this paper, we proposed the adaptive customer relation management strategies using the association rules of data mining. The proposed method uses the association rules composes frequent customers with occurrence of candidate customer set creates the rules of associative customers. We analyzed the efficient feature of purchase customers using the hyper graph partition according to the lift of creative association rules. Therefore, we discovered strategies of the cross-selling and the up-selling about customers.

• 한국데이터정보과학회:학술대회논문집
• /
• 한국데이터정보과학회 2005년도 춘계학술대회
• /
• pp.18-24
• /
• 2005

The methods of data mining are decision tree, association rules, clustering, neural network and so on. Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. We analyze Gyeongnam social indicator survey data by 2003 using association rule technique for environment information. Association rules are useful for determining correlations between attributes of a relation and have applications in marketing, financial and retail sectors. We can use association rule outputs in environmental preservation and environmental improvement.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• 제20권
• /
• pp.369-385
• /
• 2003

Contracts of carriage evidenced by bill of lading which are made between carrier and unidentified number of the shipper are to a large extent regulated by statute law such as Hague-Visby Rules and Hamburg Rules. These rules qualifies the contractual liberty of parties and especially restrains the carrier from introducing exemption from his liability beyond those admitted by the Rules. However, these Rules are applied only to goods in respect of which a bill of lading or similar document of title has been issued. In this reason, it is possible that liability of carrier in respect of goods shipped could become an issue where electronic bill of lading is used instead of paper bill of lading because electronic bill of lading is not generally recognised document of title in existing rule. Thus, this article discuss the relation between the carrier who create electronic bill of lading and the Rules regulating liability of carrier. Also, new Rules which has been examining in UNCITRAL will be introduced.