• Title/Summary/Keyword: Association rule extension

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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.

Association Rule Discovery Considering Strategic Importance: WARM (전략적 중요도를 고려한 연관규칙의 발견: WARM)

  • Choi, Doug-Won
    • The KIPS Transactions:PartD
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    • v.17D no.4
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    • pp.311-316
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    • 2010
  • This paper presents a weight adjusted association rule mining algorithm (WARM). Assigning weights to each strategic factor and normalizing raw scores within each strategic factor are the key ideas of the presented algorithm. It is an extension of the earlier algorithm TSAA (transitive support association Apriori) and strategic importance is reflected by considering factors such as profit, marketing value, and customer satisfaction of each item. Performance analysis based on a real world database has been made and comparison of the mining outcomes obtained from three association rule mining algorithms (Apriori, TSAA, and WARM) is provided. The result indicates that each algorithm gives distinct and characteristic behavior in association rule mining.

A Study on the Youth's Rural Rehabilitation Movement in Shiryang-ri, Yesan under Japanese Rule (일제하 예산군 시량리 청년들의 농촌개발운동에 관한 연구)

  • Kim, Myung-Hee;Choe, Pyeong-Ik;Yoon, Jun-Sang
    • Journal of Agricultural Extension & Community Development
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    • v.16 no.2
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    • pp.385-404
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    • 2009
  • The youth's rural rehabilitation movement started the crusade against illiteracy and poverty with all young educated elites including Whang Jongjin(a student of Yesan Public Agricultural High School) of the village, Shiryang-ri. Deoksan-myon. Yesan-gun. Among others, Patriot Youn(1908-1932) initiated the movement. The main projects of the agricultural extension were the Evening School(1926), Reading Club, the Woljin.Hoe(1929), Puheung.Won(1928), a Mutual Financing Association for Swine Farming, Sweet Potato Cultivation, Cooperative Planting, the Shuam.Sports Club and Consumer's Cooperative Society. The idea in Nongmindokbon (Famer's Text, 1927) is based on liberalism, equality, independence, a pioneer and cooperative spirit or realization of a physiocratical Utopia. Most references about Patriot Youn are concerned with his heroic deed in Shanghai, however the youth in Shinyang-Ri are typical agricultural extension workers or in other words, a forerunner of Saemaul Undong.

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A Study of the Formative Characteristics and Meanings in Fashion Design Applying The Principles of Shape-Transformation (형태변형 원리를 적용한 현대 패션디자인의 조형적 특징 및 의미 연구)

  • Kwon, Gi-Young
    • Journal of the Korean Home Economics Association
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    • v.44 no.12
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    • pp.167-178
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    • 2006
  • The purpose of this study is to analyze the transformed fashion design based on the principles of visual design. Wucius Wong classified the kinds of transformation techniques as internal variation, external variation, extension, superimposition, transfiguration, dislocation, and distortion, which create and modify the shape. And the kinds of shape grammar for transformation are rule deletion, rule addition, and rule transformation, which are applied to interpretate for the change of wearing, the specialization & development of clothes, and the avant-garde styles in subculture groups. The formative meanings of the transformed fashion design are multi-transformation with complexity, formal beauty pretending confusion, and the basis for new trend.

XOnto-Apriori: An eXtended Ontology Reasoning-based Association Rule Mining Algorithm (XOnto-Apriori: 확장된 온톨로지 추론 기반의 연관 규칙 마이닝 알고리즘)

  • Lee, Chong-Hyeon;Kim, Jang-Won;Jeong, Dong-Won;Lee, Suk-Hoon;Baik, Doo-Kwon
    • The KIPS Transactions:PartD
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    • v.18D no.6
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    • pp.423-432
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    • 2011
  • In this paper, we introduce XOnto-Apriori algorithm which is an extension of the Onto-Apriori algorithm. The extended algorithm is designed to improve the conventional algorithm's problem of comparing only identifiers of transaction items by reasoning transaction properties of the items which belong in the same category. We show how the mining algorithm works with a smartphone application recommender system based on our extended algorithm to clearly describe the procedures providing personalized recommendations. Further, our simulation results validate our analysis on the algorithm overhead, precision, and recall.

Review the Governance of Graduate Medical Education (대학(대학원) 졸업 후 의사 수련교육 거버넌스 고찰)

  • Park, Hye-Kyung;Park, Yoon-Hyung
    • Health Policy and Management
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    • v.29 no.4
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    • pp.394-398
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    • 2019
  • Education on the physician continues with undergraduate medical education, graduate medical education, and continuous medical education. The countries such as the United States, Japan, the United Kingdom, German, and others are required to undergo training in the clinical field for 2 years after completing the national medical examination, and to become doctors after passing the clinical practice license test. Korea can obtain a medical license and become a clinical doctor at the same time if it passes written and practical tests after completing 6 years of undergraduate medical education or 4 years of graduate school. About 90% of medical school graduates replace clinical practice with 4-5 years of training to acquire professional qualifications, but this is an option for individual doctors rather than an extension of the licensing system under law. The medical professional qualification system is implemented by the Ministry of Health and Welfare on the regulation. In fact, under the supervision of the government, the Korean Hospital Association, the Korean Medical Association, and the Korean Academy of Medical Sciences progress most procedures. After training and becoming a specialist, the only thing that is given to a specialist is the right to mark him or her as a specialist in marking a medical institution and advertising. The government's guidelines for professional training are too restrictive, such as the recruitment method of residents, annual training courses of residents, dispatch rule of the residents, and the quota of residents of training hospitals. Although professional training systems are operated in the United States, the United Kingdom, France, and Germany, most of them are organized and operated by public professional organizations and widely recognize the autonomy of academic institutions and hospitals. Korea should also introduce a compulsory education system after graduating from medical education and organize and initiate by autonomic public professional organization that meets global standards.

Historical Geography of Mu-Sim River and Nam-Suk Bridge in Chongju City (청주 무심천과 남석교에 관한 역사지리적 고찰)

  • Yeh, Kyong-Hee
    • Journal of the Korean association of regional geographers
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    • v.9 no.4
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    • pp.437-460
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    • 2003
  • It is recorded that the orignal Nam-Suk Bridge is constructed at the first year of Oh-Bong(B.C. 57). But I believe that it can be back to the 19 year of Jin-Hung King(AD. 558) by discovered bibliographies. The Nam-Suk Bridge is improved and remodelled from past to the late of Zosun dynasty by the development of walled city of Chongju. By the late of Gojong Empire, the Nam-Suk Bridge has stone post and monument of Nam-Suk Bridge. Because the alternations of Mu-Sim River channel, heavy floods, extension of built, up area and Japanese unconcern, the stone post and monument of Nam-Suk Bridge is lost approximately by 1910s and Nam-Suk Bridge is completely buried by the early 1930s. The Mu-Sim Hiver has negative aspects from past to the Japanese rule but has increasingly the positive aspects after the liberation of Korea. We must reconstruct these buried cultural resources to highlight the cultural identity of Chongju City.

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Extension Method of Association Rules Using Social Network Analysis (사회연결망 분석을 활용한 연관규칙 확장기법)

  • Lee, Dongwon
    • Journal of Intelligence and Information Systems
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    • v.23 no.4
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    • pp.111-126
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    • 2017
  • Recommender systems based on association rule mining significantly contribute to seller's sales by reducing consumers' time to search for products that they want. Recommendations based on the frequency of transactions such as orders can effectively screen out the products that are statistically marketable among multiple products. A product with a high possibility of sales, however, can be omitted from the recommendation if it records insufficient number of transactions at the beginning of the sale. Products missing from the associated recommendations may lose the chance of exposure to consumers, which leads to a decline in the number of transactions. In turn, diminished transactions may create a vicious circle of lost opportunity to be recommended. Thus, initial sales are likely to remain stagnant for a certain period of time. Products that are susceptible to fashion or seasonality, such as clothing, may be greatly affected. This study was aimed at expanding association rules to include into the list of recommendations those products whose initial trading frequency of transactions is low despite the possibility of high sales. The particular purpose is to predict the strength of the direct connection of two unconnected items through the properties of the paths located between them. An association between two items revealed in transactions can be interpreted as the interaction between them, which can be expressed as a link in a social network whose nodes are items. The first step calculates the centralities of the nodes in the middle of the paths that indirectly connect the two nodes without direct connection. The next step identifies the number of the paths and the shortest among them. These extracts are used as independent variables in the regression analysis to predict future connection strength between the nodes. The strength of the connection between the two nodes of the model, which is defined by the number of nodes between the two nodes, is measured after a certain period of time. The regression analysis results confirm that the number of paths between the two products, the distance of the shortest path, and the number of neighboring items connected to the products are significantly related to their potential strength. This study used actual order transaction data collected for three months from February to April in 2016 from an online commerce company. To reduce the complexity of analytics as the scale of the network grows, the analysis was performed only on miscellaneous goods. Two consecutively purchased items were chosen from each customer's transactions to obtain a pair of antecedent and consequent, which secures a link needed for constituting a social network. The direction of the link was determined in the order in which the goods were purchased. Except for the last ten days of the data collection period, the social network of associated items was built for the extraction of independent variables. The model predicts the number of links to be connected in the next ten days from the explanatory variables. Of the 5,711 previously unconnected links, 611 were newly connected for the last ten days. Through experiments, the proposed model demonstrated excellent predictions. Of the 571 links that the proposed model predicts, 269 were confirmed to have been connected. This is 4.4 times more than the average of 61, which can be found without any prediction model. This study is expected to be useful regarding industries whose new products launch quickly with short life cycles, since their exposure time is critical. Also, it can be used to detect diseases that are rarely found in the early stages of medical treatment because of the low incidence of outbreaks. Since the complexity of the social networking analysis is sensitive to the number of nodes and links that make up the network, this study was conducted in a particular category of miscellaneous goods. Future research should consider that this condition may limit the opportunity to detect unexpected associations between products belonging to different categories of classification.

Comparative Review on the Introduction and Operation of Salary Peak System -Focusing on Korea and Japan- (임금피크제 도입운영에 관한 비교법적 검토 -한국과 일본을 중심으로-)

  • Noh, Jae-Chul
    • The Journal of the Korea Contents Association
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    • v.15 no.11
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    • pp.93-103
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    • 2015
  • In this study, it has an intention of arranging an implication based on an effective introduction of a wage peak system in Japan to settle a mandatory retirement at sixty according to a legalization of retirement age at sixty smoothly. Institutionally, retirement age guaranteed type that reduces wage from certain period before retirement is of great importance. In Japan, mainly features the extension of retirement age that focus on keeping aged employment after retirement. In the introduction of the wage peak system, Korea attaches importance to the wage cost savings, but Japan puts emphasis on using aging workforce. Korea wants to promote the aged employment for retirement age at 60, whereas Japan actively push ahead with retirement age 65 and after that time. South Korea needs to reinforce the pensionable age and the connection though the extension of retirement age via the manpower utilization, employment promotion and the stability. It is necessary to prepare a institutional plan to try not to make a gap of the pensions by guaranteeing or extending the retirement age connect to the age of pensioners though the wage peak system. To activate the wage peak system, it is necessary to acknowledge a legal improvement that concedes rational changes such as the rule of employment. An active interpretation is needed currently though, it is more necessary to review the stipulation and the rational changes of the rule of employment that is established by a precedent like the Japanese legislation case. When a disadvantageous change of works rules is made, it is able to consider establishing the provision in the Act on age Discrimination Prohibition in Employment and Aged Employment Promotion, therefore it won't be able to apply the regulation in the rational criterion that satisfies the standards, rather than amending a Article 94 of the Labor Standards Act that makes accepting the approval of the majority of workers.