• Title, Summary, Keyword: Association rules

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Extraction of Expert Knowledge Based on Hybrid Data Mining Mechanism (하이브리드 데이터마이닝 메커니즘에 기반한 전문가 지식 추출)

  • Kim, Jin-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.6
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    • pp.764-770
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    • 2004
  • This paper presents a hybrid data mining mechanism to extract expert knowledge from historical data and extend expert systems' reasoning capabilities by using fuzzy neural network (FNN)-based learning & rule extraction algorithm. Our hybrid data mining mechanism is based on association rule extraction mechanism, FNN learning and fuzzy rule extraction algorithm. Most of traditional data mining mechanisms are depended ()n association rule extraction algorithm. However, the basic association rule-based data mining systems has not the learning ability. Therefore, there is a problem to extend the knowledge base adaptively. In addition, sequential patterns of association rules can`t represent the complicate fuzzy logic in real-world. To resolve these problems, we suggest the hybrid data mining mechanism based on association rule-based data mining, FNN learning and fuzzy rule extraction algorithm. Our hybrid data mining mechanism is consisted of four phases. First, we use general association rule mining mechanism to develop an initial rule base. Then, in the second phase, we adopt the FNN learning algorithm to extract the hidden relationships or patterns embedded in the historical data. Third, after the learning of FNN, the fuzzy rule extraction algorithm will be used to extract the implicit knowledge from the FNN. Fourth, we will combine the association rules (initial rule base) and fuzzy rules. Implementation results show that the hybrid data mining mechanism can reflect both association rule-based knowledge extraction and FNN-based knowledge extension.

Review of the KCAB International Arbitration Rules, Recently Revised, in Comparison with the Revised ICC Arbitration Rules (대한상사중재원 국제중재규칙의 개정 동향 - ICC 중재규칙의 개정과 비교하여 -)

  • Park, Won-Hyung
    • Journal of Arbitration Studies
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    • v.22 no.2
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    • pp.159-176
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    • 2012
  • The Korean Commercial Arbitration Board (KCAB) recently revised its International Arbitration Rules in a way that reflects its efforts to advance its procedures, leading directly to improved competitiveness as an arbitration institute. Apart from certain limitations, the KCAB's international arbitration rule revision introduced several new arbitration mechanisms, including fast-track arbitration and an empowered administrative office. The International Chamber of Commerce (ICC) released a revised set of arbitration rules (ICC Arbitration Rules), which have been said to be probably the most consulted-on arbitration rules ever. Even though the changes codify existing ICC court practice and add to the 1998 rules only provisions felt necessary in light of input from the users of arbitration, some of the changes will have huge implications for future aspects of arbitration mechanisms, especially those of KCAB. Although it remains to be seen what impact the ICC Arbitration Rules will have in practice, the new rules have been well received by the arbitration community and represent a modern set of provisions consistent with the current needs of the users of international arbitration. That is why, here in the Korean arbitration environment, further research is needed on the possibilities of introducing several elements of the revised ICC Arbitration Rules to improve the speed and cost efficiency of international arbitration.

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Hybrid Intelligent Web Recommendation Systems Based on Web Data Mining and Case-Based Reasoning

  • Kim, Jin-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.3
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    • pp.366-370
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    • 2003
  • In this research, we suggest a hybrid intelligent Web recommendation systems based on Web data mining and case-based reasoning (CBR). One of the important research topics in the field of Internet business is blending artificial intelligence (AI) techniques with knowledge discovering in database (KDD) or data mining (DM). Data mining is used as an efficient mechanism in reasoning for association knowledge between goods and customers' preference. In the field of data mining, the features, called attributes, are often selected primary for mining the association knowledge between related products. Therefore, most of researches, in the arena of Web data mining, used association rules extraction mechanism. However, association rules extraction mechanism has a potential limitation in flexibility of reasoning. If there are some goods, which were not retrieved by association rules-based reasoning, we can't present more information to customer. To overcome this limitation case, we combined CBR with Web data mining. CBR is one of the AI techniques and used in problems for which it is difficult to solve with logical (association) rules. A Web-log data gathered in real-world Web shopping mall was given to illustrate the quality of the proposed hybrid recommendation mechanism. This Web shopping mall deals with remote-controlled plastic models such as remote-controlled car, yacht, airplane, and helicopter. The experimental results showed that our hybrid recommendation mechanism could reflect both association knowledge and implicit human knowledge extracted from cases in Web databases.

An Analysis of 'Family Constitution' and the Development Plan for the 'Making Family Constitution' Project in Healthy Family Support Centers : With a Focus on Healthy Family Support Centers in Seoul (건강가정지원센터 '가정헌법 만들기' 사업의 '가정헌법' 분석과 발전방안 : 서울 지역 건강가정지원센터를 중심으로)

  • Lee, Eun-Joo;Jun, Mi-Kyung
    • Journal of Korean Home Management Association
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    • v.31 no.2
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    • pp.93-108
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    • 2013
  • This study aimed to analyze the functionality and healthiness of family rules through a relational analysis of the relationship between the rule frequency by sub-family system and the content properties shown in the 'family constitution', It also aimed to examine the relationship between the perception degree of healthy family elements and the family subsystem rules and prepare the project development plans. As a result, it was a found that there were many dysfunctional rules, and healthiness was not satisfied. Project development plans include specific project plans, delivery systems, an orientation for practitioners, the necessity of evaluation and feedback, family health diagnosis, association with other project areas, and small scale operations.

A Study for Statistical Criterion in Negative Association Rules Using Boolean Analyzer

  • Shin, Sang-Jin;Lee, Keun-Woo
    • 한국데이터정보과학회:학술대회논문집
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    • pp.145-151
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    • 2006
  • Association rule mining searches for interesting relationships among items in a given database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule support and confidence and lift. Association rule is an interesting rule among purchased items in transaction, but the negative association rule is an interesting rule that includes items which are not purchased. Boolean Analyzer is the method to produce the negative association rule using PIM. But PIM is subjective. In this paper, we present statistical objective criterion in negative association rules using Boolean Analyzer.

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A Study for Statistical Criterion in Negative Association Rules Using Boolean Analyzer

  • Lee, Keun-Woo;Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.2
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    • pp.569-576
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    • 2008
  • Association rule mining searches for interesting relationships among items in a given database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. Association rule is an interesting rule among purchased items in transaction, but the negative association rule is an interesting rule that includes items which are not purchased. Boolean Analyzer is the method to produce the negative association rule using PIM. But, PIM is subjective. In this paper, we present statistical objective criterion in negative association rules using Boolean Analyzer.

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An Efficient Algorithm for Updating Discovered Association Rules in Data Mining (데이터 마이닝에서 기존의 연관규칙을 갱신하는 효율적인 앨고리듬)

  • 김동필;지영근;황종원;강맹규
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.21 no.45
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    • pp.121-133
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    • 1998
  • This study suggests an efficient algorithm for updating discovered association rules in large database, because a database may allow frequent or occasional updates, and such updates may not only invalidate some existing strong association rules, but also turn some weak rules into strong ones. FUP and DMI update efficiently strong association rules in the whole updated database reusing the information of the old large item-sets. Moreover, these algorithms use a pruning technique for reducing the database size in the update process. This study updates strong association rules efficiently in the whole updated database reusing the information of the old large item-sets. An updating algorithm that is suggested in this study generates the whole candidate item-sets at once in an incremental database in view of the fact that it is difficult to find the new set of large item-sets in the whole updated database after an incremental database is added to the original database. This method of generating candidate item-sets is different from that of FUP and DMI. After generating the whole candidate item-sets, if each item-set in the whole candidate item-sets is large at an incremental database, the original database is scanned and the support of each item-set in the whole candidate item-sets is updated. So, the whole large item-sets in the whole updated database is found out. An updating algorithm that is suggested in this study does not use a pruning technique for reducing the database size in the update process. As a result, an updating algoritm that is suggested updates fast and efficiently discovered large item-sets.

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A Study on the Draft and Issues for the Revision of UNCITRAL Arbitration Rules (UNCITRAL 중재규칙 개정안의 내용과 쟁점에 관한 연구)

  • Lee, Kang-Bin
    • Journal of Arbitration Studies
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    • v.17 no.2
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    • pp.43-70
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    • 2007
  • The purpose of this paper is to make research on the contents and discussions of the draft of revised UNCITRAL Arbitration Rules that have been discussed and considered by the Working Group. At its thirty-ninth session (New York, 19 June-7 July 2006), the Commission agreed that, in respect of future work of the Working Group, priority be given to a revision of the UNCITRAL Arbitration Rules (1976). At its forty-fifth session (Vienna, 11-15 September 2006), the Working Group undertook to identify areas where a revision of the UNCITRAL Arbitration Rules might be useful. At that session, it was considered that the focus of the revision should be on updating the Rules to meet changes that had taken place over the last thirty years in arbitral practice. The largely amended provisions of the draft of revised UNCITRAL Arbitration Rules are as follows : Notice of arbitration and response to the notice of arbitration (Article 3), Designating and appointing authorities (Article 4 bis), November of arbitrators (Article 5), Appointment of arbitrations (Article 6), Appointment of arbitrators in multi-party arbitration (Article 7 bis), Challenge of arbitrators (Article 9), Replacement of an arbitrator (Article 13), Pleas as to the jurisdiction of the arbitral tribunal (Article 21), Interim measures (Article 26), Form and effect of the award (Article 32), and Liability of arbitrators (Proposed additional provisions). There are some differences between the draft of revised UNCITRAL Arbitration Rules and the KCAB Arbitration Rules. In order to jnternationalize the Korea's commercial arbitration system, it is desirable that the main articles of the draft of revised UNCITRAL Arbitration Rules should be admitted to the KCAB Arbitration Rules. In conclusion, the Commission was generally of the view of any revision of the UNCITRAL Arbitration Rules should not alter the structure of the text, its spirit, its drafting style, and should respect the flexibility of the text rather than make it more complex. The Working Group agreed that harmonizing the provisions of the UNCITRAL Model Law should not be automatic but rather considered only where appropriate.

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A Study on the Hybrid Data Mining Mechanism Based on Association Rules and Fuzzy Neural Networks (연관규칙과 퍼지 인공신경망에 기반한 하이브리드 데이터마이닝 메커니즘에 관한 연구)

  • Kim Jin Sung
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • pp.884-888
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    • 2003
  • In this paper, we introduce the hybrid data mining mechanism based in association rule and fuzzy neural networks (FNN). Most of data mining mechanisms are depended in the association rule extraction algorithm. However, the basic association rule-based data mining has not the learning ability. In addition, sequential patterns of association rules could not represent the complicate fuzzy logic. To resolve these problems, we suggest the hybrid mechanism using association rule-based data mining, and fuzzy neural networks. Our hybrid data mining mechanism was consisted of four phases. First, we used general association rule mining mechanism to develop the initial rule-base. Then, in the second phase, we used the fuzzy neural networks to learn the past historical patterns embedded in the database. Third, fuzzy rule extraction algorithm was used to extract the implicit knowledge from the FNN. Fourth, we combine the association knowledge base and fuzzy rules. Our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic.

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Recent Developments : The Third Reading of the Revised Version of the UNCITRAL Arbitration Rules of 1976 (UNCITRAL의 최근 동향 : 1976년 UNCITRAL 중재규칙 개정안의 제3회독을 중심으로)

  • Kang, Pyoung-Keun
    • Journal of Arbitration Studies
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    • v.20 no.2
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    • pp.3-26
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    • 2010
  • In 2006, the UNCITRAL Working Group II started a new project on the revision of the UNCITRAL Arbitration Rules of 1976. Ever since that time, 9 sessions of the Working Group II were devoted to the discussions on such topic. The Arbitration Rules has been acknowledged to be used for settling international disputes involving various disputing parties. In recent years, many treaty-based arbitrations have been subject to the Arbitration Rules. This article focuses on the discussions made in the 52nd session of the Working Group II where the third reading of the revised draft of the Arbitration Rules was completed except for a few provisions. Among the draft rules, the delegations were hardly able to reach an agreement with regard to Articles 2(2), 34(2), 41(3), (4), and (6). It is expected that those provisions would be agreed in the coming 43rd plenary session of the UNCITRAL. The use of the Arbitration Rules is dependent on the agreement by the disputing parties. It is not like the UNCITRAL Model Law on International Commercial Arbitration which was adopted in Korean legal system in 1999. However, the proper functioning of arbitration rules is essential for the efficient and successful operation of the arbitration system in a particular country. That is the reason why we should keep close attention on the discussions of the UNCITRAL with regard to the revision of the Arbitration Rules.

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