• Journal of Korean Library and Information Science Society
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• v.44 no.3
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• pp.405-428
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• 2013

This study tried to explore the relation between research networks(coauthor network, author co-citation network, author bibliographic coupling network) and research performance of Records and Archives Management study in Korea. For the analysis, three basic types of network centrality and three indicators of research performance are used. The summary of this study is as follows: Firstly, there are relations between three centralities and three indicators of research performance in the coauthor network. Secondly, there are relations between betweenness centrality and research performance in the author co-citation/author bibliographic coupling networks. Thirdly, there are relations between three centralities in the each research network. Fourthly, there are not high relations between all centralities of the three research networks.

• Review of KIISC
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• v.15 no.3
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• pp.69-75
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• 2005

특정 또는 불특정 네트워크를 공격 대상으로 하는 인터넷 웜, 분산서비스거부 공격 등의 출현과 가공할 파괴력으로 인해 네트워크에 대한 보안 요구가 점차 증가하고 있다. 침입탐지시스템 등의 네트워크 보안 솔루션은 네트워크 공격에 대한 감시 및 차단 등의 기능을 제공하며 기술적인 진화를 거듭하고 있지만, 근본적인 한계로써 국부 감시로 인한 불명확성과 오탐에 의한 보안경보$^{1)}$ 플러딩 등이 지적되고 있다. 특히 보안경보의 플러딩 현상은 네트워크 보안 상태를 정확하게 판단하는 것을 방해함으로써 조기경보체제의 구축을 어렵게 하는 요인이 되고 있다. 최근 이러한 부분을 극복하기 위해 보안경보 간의 상호 연관성 분석에 대한 연구가 활발해 지고 있다. 본 논문에서는 보안경보에 대한 연관성 분석 동향에 대해서 논의한다. 또한 보안경보의 집단화(aggregation)를 이용한 네트워크 공격 상황 분석방안에 대해서도 논의한다. 보안경보의 집단화를 이용한 공격 상황 분석은 엄청나게 발생하는 보안경보로부터 조기경보를 위한 공격 정보의 판별과 광역 네트워크상에서 이상 현상의 탐지를 가능하게 한다. 이와 더불어 현재 ETRI에서 개발 중에 있는 네트워크 공격 상황 분석기인 NASA(Network Attack Situation Analyzer)에 대해서도 간략히 소개한다.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2865-2872
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• 2018

In the field of data mining technique, there are various methods such as association rules, cluster analysis, decision tree, neural network. Among them, association rules are defined by using various association evaluation criteria such as support, confidence, and lift. Agrawal et al. (1993) first proposed this association rule, and since then research has been conducted by many scholars. Recently, studies related to crossover entropy have been published (Park, 2016b). In this paper, we proposed a purely symmetric J measure considering directionality and purity in the previously published J measure, and examined its usefulness by using examples. As a result, it is found that the pure symmetric J measure changes more clearly than the conventional J measure, the symmetric J measure, and the pure crossover entropy measure as the frequency of coincidence increases. The variation of the pure symmetric J measure was also larger depending on the magnitude of the inconsistency, and the presence or absence of the association was more clearly understood.

• Korean Journal of Construction Engineering and Management
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• v.22 no.5
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• pp.29-38
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• 2021

Governments and companies are trying to reduce occupational accidents in the construction industry; however, the number of disasters are not decreasing significantly. This study aims to identify the correlation between factors affecting construction disasters quantitatively. To this end, 1,197 cases of serious disasters provided by Korea Occupational Safety and Health Administration (KOSHA) were analyzed using affinity analysis, one of the data mining techniques. The data from KOSHA were preprocessed and analyzed with variables of accident type, project type, activity type, original cause materials, sensory temperature, time of the accident, and fall height, and the association rules were derived for fall accidents and the others. For fall accidents, 64 association rules with lift ratios of 1.38 or greater were derived, and for the other accidents, 59 association rules with lift ratios of 1.54 or greater were derived. After analyzing the derived association rules focusing on the relationship among accident factors, this study presented the significance of applying the affinity analysis to address the study's limitations. The significance of this study can be found in that the correlation among factors affecting construction accidents is presented quantitatively.

• The Journal of Korean Association of Computer Education
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• v.11 no.1
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• pp.65-74
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• 2008

In this paper, we introduce an analysis system for answer dataset by using a data mining method. We analyze students' answer data collected from a test including multiple choice question items, and find associations between the items. Analysis of evaluation results based on our system will not only provide correct information on students' achievement levels but also provides a basis for modifying weaknesses of the evaluation procedures, question items, or teaching/learning procedures. Furthermore, it will enable us to improve the quality of question items for future use so that we can secure itemsets of high quality.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.10a
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• pp.145-147
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• 2012

해양사고의 70-80%가 인적 오류(Human Factor)에 기인한 것으로 알려져 있다. 특히 인적 오류 중 선원의 피로도는 실제 해양사고로 이어질 개연성이 대단히 큰데, 이러한 피로도는 선원의 음주로부터 비롯된 경우가 존재하며 해양사고와 연관이 있을 것으로 추정된다. 그러나 이러한 선원의 음주습관과 해양사고의 연관성에 관한 연구는 아직 정립된 바가 없는 실정이다. 이에 본 연구에서는 음주습관이 신체 및 행동에 미치는 영향을 알아보고 과거 해양사고 통계를 분석하여 해기사의 음주습관과 해양사고의 연관성에 대해 Fault-Tree 기법을 적용하여 연구하였다. 연구결과, 해기사의 음주습관은 피로도와 직접 연관성을 밝혀 낼 수 있지만 해양사고와 직접적인 연관성은 미약한 것으로 파악되었다. 그러나 선원의 피로도와 직접 연관된 음주습관은 해양사고 유발 원인이기 때문에 본 연구결과에 대한 타당성은 추후 다양한 실험을 통한 연구한 것으로 조사된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.1077-1080
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• 2014

대량으로 발생하는 키워드들 간의 연관성을 분석하고자 하는 연구는 꾸준히 진행되어 왔다. 많은 용어들의 관계를 분석하기 위한 방법으로 전문가 집단의 인력과 시간을 수행할 수 있지만, 시간과 비용이 많이 소모된다. 이를 해결하기 위한 방법으로 이미 관련 키워드 서비스를 제공하기 위한 시스템을 구축해 놓은 검색엔진을 사용해서 키워드들 간의 관계를 분석해 볼 수 있다. 본 논문에서는 IT분야의 논문에서 저자들이 자유롭게 작성하는 관심 분야를 키워드로 선정하고, 이 키워드들 간의 관계를 분석하기 위해 검색 엔진에서 출력하는 검색 결과 수를 사용한다. 검색 엔진에서 제공하는 검색 결과 수가 높을수록 다른 키워드와 연관성이 높은 키워드임을 알 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.280-282
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• 2002

본 논문은 웹 문서 여과시 사용자 모델링을 위해 사용되는 연관성 피드백 방법을 강화 학습 프레임웍에서 분석하고 강화학습 기반의 새로운 연관성 피드백 알고리즘을 제안한다. 제안된 방법은 강화 학습 프레임책상에서 기존의 방법을 일반화한 것으로 기존의 연관성 피드백 방법이 현재의 프로파일만을 상태로 사용하는 데 비해 과거 history부터 얻는 추가 정보를 사용하는 방법이다

• Smart Media Journal
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• v.7 no.3
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• pp.22-28
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• 2018

Air pollution problems in Korea are gradually becoming a higher concern due to various reasons such as fine dust, causing anxiety among people with regard to their health. Although various studies have been carried out on the relationship between the influence of fine dust and a certain disease, they are mostly focusing on the analyzation that fine dust is related to specific illnesses such as respiratory and cardiovascular diseases, hypertension and diabetes. In this paper, we utilize the public data of medical history information to extract ten medical care subjects with the highest number of monthly care in 2016, and analyze the relation of fine dust with certain medical subjects using Pearson correlation coefficient. We also subdivide and analyze the correlation between fine dust and the medical subjects according to their gender and age. Middle-aged Female group with the strongest positive correlation between fine dust and the medical subjects is analyzed with the correlation from 2011 to 2015, with its relevance coefficient extracted by regression analysis in order to predict the correlation with the medical subjects according to the fine dust concentration.

• Korean Journal of Construction Engineering and Management
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• v.23 no.5
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• pp.3-14
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• 2022

Construction projects have high potentials of claims among a variety of stakeholders. Claims on their own are not disputes but they have high potentials leading to disputes if agreements are not made between parties due to conflicting opinions. In the event of the construction disputes between clients and contractors, it could give negative impacts to both parties and, to minimize or pro-actively manage construction disputes, the role of clients is more significant. The objective of the study is to analyze a level of associations between the types of disputes and causes of construction projects based on the association rule analysis, and to identify and discuss key characteristics and implications from client's perspectives. The study analyzes associations between the types of disputes and causes, and also identifies those with a high level of associations. It also presents the outcomes of more systematic analysis compared to descriptive statistics just based on frequencies. Through the analysis of the data cases, the study proposes the directions to resolve the causes of disputes from client's perspectives. It can assist to improve understandings of the relationships between the types of disputes and causes and to pro-actively manage the disputes of construction projects.