• 제목/요약/키워드: Relationship matrix

검색결과 748건 처리시간 0.032초

vlda: An R package for statistical visualization of multidimensional longitudinal data

  • Lee, Bo-Hui;Ryu, Seongwon;Choi, Yong-Seok
    • Communications for Statistical Applications and Methods
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    • 제28권4호
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    • pp.369-391
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    • 2021
  • The vlda is an R (R Development Core team et al., 2011) package which provides functions for visualization of multidimensional longitudinal data. In particular, the R package vlda was developed to assist in producing a plot that more effectively expresses changes over time for two different types (long format and wide format) and uses a consistent calling scheme for longitudinal data. The main features of this package allow us to identify the relationship between categories and objects using an indicator matrix with object information, as well as to cluster objects. The R package vlda can be used to understand trends in observations over time in addition to identifying relative relationships at a simple visualization level. It also offers a new interactive implementation to perform additional interpretation, therefore it is useful for longitudinal data visual analysis. Due to the synergistic relationship between the existing VLDA plot and interactive features, the user is empowered by a refined observe the visual aspects of the VLDA plot layout. Furthermore, it allows the projection of supplementary information (supplementary objects and variables) that often occurs in longitudinal data of graphs. In this study, practical examples are provided to highlight the implemented methods of real applications.

The Impact of Financial Variables on Firm Profitability: An Empirical Study of Commercial Banks in Oman

  • JAYARAMAN, Gopu;AZAD, Imran;AHMED, Hanaa Sid
    • The Journal of Asian Finance, Economics and Business
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    • 제8권5호
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    • pp.885-896
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    • 2021
  • The general role of commercial banks is to provide financial services to the general public and business, ensuring economic and social stability and sustainable growth of the economy. Commercial banks play an important role in mobilizing and channelizing funds for investment activities. This study analyzes the impact of the key financial variables on the net profit of the selected commercial banks in Oman. The study employs times series panel data - cross-sectional analysis of the key financials of five leading commercial banks for a period of 13 years from 2007 to 2019. The results reveal that the correlation matrix of the selected variables has a positive relationship with net profit, assets, deposits, loans, and interest income. However, the findings also shows a negative relationship between net profit and net loans to total deposits ratio. The study found net loans is the main independent variable that influences the profitability of the banks since the key source of revenue comes from the lending operations. The assets, total capital adequacy ratio have a mixed effect on the profitability of commercial banks. The total deposits and capital adequacy ratio have a negative effect on profitability mainly because excessive liquidity will increase the cost of capital and reduce the return on investment. Focusing on lending operations with a sound credit portfolio will improve profitability.

부분 AUC와 최적분류점들 (Partial AUC and optimal thresholds)

  • 홍종선;조현수
    • 응용통계연구
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    • 제32권2호
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    • pp.187-198
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    • 2019
  • ROC와 CAP 곡선을 이용하여 다양한 정확도 측도를 바탕으로 최적분류점을 추정하는 많은 연구가 있다. 본 연구에서는 ROC와 CAP 곡선의 특정한 부분 면적을 나타내는 대안적인 통계량을 제안한다. 새롭게 정의된 부분 면적을 나타내는 통계량의 미분방정식을 이용하여 ROC와 CAP 함수와의 관계를 살펴보고, 다음으로는 ROC와 CAP 곡선에 대한 다양한 정확도 측도들의 조건에서의 최적분류점과의 관계를 유도한다. 혼합분포를 구성하는 두 종류의 분포함수를 다양한 정규분포로 가정하여 최적분류점을 설정하고, 다양한 정확도 측도들의 조건에서의 최적분류점에 대응하는 제1종과 제2종 오류의 크기를 탐색하고 토론한다.

쇄빙연구선 ARAON호의 북극해 실측 데이터에 기초한 국부 빙하중 추정식의 수정 (Modification of Local Ice Load Prediction Formula Based on IBRV ARAON's Arctic Field Data)

  • 조성록;최경식
    • 한국해양공학회지
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    • 제33권2호
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    • pp.161-167
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    • 2019
  • This paper focuses on a newly designed ice load formula based on the ARAON's 2016 Arctic field data in order to improve a structural design against ice loads. The strain gage signals from ARAON's hull plating were converted to the local ice pressure upon the hull plating using the influence coefficient matrix and finite element analysis. First, a traditional pressure-area relationship is derived by applying probabilistic approaches to handle the strains measured onboard the ARAON. Then, the local ice load prediction formula is re-analyzed after reviewing the ARAON's additional field data to consider information about the ship speed and thickness of the sea ice. It is shown that the newly developed pressure-area relationship well reflects the influence of other design parameters such as the ship speed and ice thickness in the prediction of local ice loads on Arctic vessels.

A Study on the Job Career Patterns of Korean IT Personnel

  • Lee, Kyoungnam
    • 한국IT서비스학회지
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    • 제17권4호
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    • pp.37-52
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    • 2018
  • With the increasing severity of the shortage of highly-skilled IT personnel, more and more attention is being paid to the professional career path and systematic career management of IT employees. Although some studies have been conducted to describe the current status of IT personnel, limited attempts have been made to analyze the career paths or career patterns of IT professionals from a longitudinal perspective. In this context, this study explored the job career patterns of IT professionals in Korea and examined their relationship with subjective and objective career success. To identify job career patterns over time, detailed information about jobs and positions were used and an optimal matching analysis (OMA) was conducted to calculate the dissimilarity matrix between employees' career sequences, while a cluster analysis was used to categorize the meaningful groups based on this dissimilarity data. This analysis revealed that career patterns among Korean IT personnel are more varied than previously thought. These career types have a significant relationship with individual profiles, such as age, education, industry and company size, and account for significant variations in the three main career success variables, i.e. quality of life, assessment of software quality, and wage level. It is expected that the findings of this study will contribute to refining the Korean career path so as to retain IT personnel, and raise the need to improve the low quality of life and poor SW work environment of IT personnel.

윤리적 소비와 소비가치의 관계에 대한 소비자 인식 변화: 소셜 빅데이터를 활용한 윤리적 소비와 소비가치의 키워드 변화 분석을 중심으로 (A Study on the Changes in Consumer Perceptions of the Relationship between Ethical Consumption and Consumption Value: Focusing on Analyzing Ethical Consumption and Consumption Value Keyword Changes Using Big Data)

  • 신은정;고애란
    • Human Ecology Research
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    • 제59권2호
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    • pp.245-259
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    • 2021
  • The purpose of this study was to analyze big data to identify the sub-dimensions of ethical consumption, as well as the consumption value associated with ethical consumption that changes over time. For this study, data were collected from Naver and Daum using the keyword 'ethical consumption' and frequency and matrix data were extracted through Textom, for the period January 1, 2016, to December 31, 2018. In addition, a two-way mode network analysis was conducted using the UCINET 6.0 program and visualized using the NetDraw function. The results of text mining show increasing keyword frequency year-on-year, indicating that interest in ethical consumption has grown. The sub-dimensions derived for 2014 and 2015 are fair trade, ethical consumption, eco-friendly products, and cooperatives and for 2016 are fair trade, ethical consumption, eco-friendly products and animal welfare. The results of deriving consumption value keywords were classified as emotional value, social value, functional value and conditional value. The influence of functional value was found to be growing over time. Through network analysis, the relationship between the sub-dimensions of ethical consumption and consumption values derived each year from 2014 to 2018 showed a significantly strong correlation between eco-friendly product consumption and emotional value, social value, functional value and conditional value.

Big Data Analysis of the Women Who Score Goal Sports Entertainment Program: Focusing on Text Mining and Semantic Network Analysis.

  • Hyun-Myung, Kim;Kyung-Won, Byun
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권1호
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    • pp.222-230
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    • 2023
  • The purpose of this study is to provide basic data on sports entertainment programs by collecting data on unstructured data generated by Naver and Google for SBS entertainment program 'Women Who Score Goal', which began regular broadcast in June 2021, and analyzing public perceptions through data mining, semantic matrix, and CONCOR analysis. Data collection was conducted using Textom, and 27,911 cases of data accumulated for 16 months from June 16, 2021 to October 15, 2022. For the collected data, 80 key keywords related to 'Kick a Goal' were derived through simple frequency and TF-IDF analysis through data mining. Semantic network analysis was conducted to analyze the relationship between the top 80 keywords analyzed through this process. The centrality was derived through the UCINET 6.0 program using NetDraw of UCINET 6.0, understanding the characteristics of the network, and visualizing the connection relationship between keywords to express it clearly. CONCOR analysis was conducted to derive a cluster of words with similar characteristics based on the semantic network. As a result of the analysis, it was analyzed as a 'program' cluster related to the broadcast content of 'Kick a Goal' and a 'Soccer' cluster, a sports event of 'Kick a Goal'. In addition to the scenes about the game of the cast, it was analyzed as an 'Everyday Life' cluster about training and daily life, and a cluster about 'Broadcast Manipulation' that disappointed viewers with manipulation of the game content.

Association Rule Mining and Collaborative Filtering-Based Recommendation for Improving University Graduate Attributes

  • Sheta, Osama E.
    • International Journal of Computer Science & Network Security
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    • 제22권6호
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    • pp.339-345
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    • 2022
  • Outcome-based education (OBE) is a tried-and-true teaching technique based on a set of predetermined goals. Program Educational Objectives (PEOs), Program Outcomes (POs), and Course Outcomes (COs) are the components of OBE. At the end of each year, the Program Outcomes are evaluated, and faculty members can submit many recommended measures which dependent on the relationship between the program outcomes and its courses outcomes to improve the quality of program and hence the overall educational program. When a vast number of courses are considered, bad actions may be proposed, resulting in unwanted and incorrect decisions. In this paper, a recommender system, using collaborative filtering and association rules algorithms, is proposed for predicting the best relationship between the program outcomes and its courses in order to improve the attributes of the graduates. First, a parallel algorithm is used for Collaborative Filtering on Data Model, which is designed to increase the efficiency of processing big data. Then, a parallel similar learning outcomes discovery method based on matrix correlation is proposed by mining association rules. As a case study, the proposed recommender system is applied to the Computer Information Systems program, College of Computer Sciences and Information Technology, Al-Baha University, Saudi Arabia for helping Program Quality Administration improving the quality of program outcomes. The obtained results revealed that the suggested recommender system provides more actions for boosting Graduate Attributes quality.

용어 간의 다양한 관계 추출을 통해 온톨로지를 자동으로 생성하는 방법 (A Method on Automatically Creating an Ontology by Extracting Various Relationships between Terms)

  • 김영태
    • 실천공학교육논문지
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    • 제15권2호
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    • pp.321-330
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    • 2023
  • 본 논문에서는 특정 도메인의 온톨로지 구성에 필요한 용어 간의 다양한 관계를 추출하여 자동으로 온톨로지를 생성하는 방법을 제안하고자 한다. 추출된 관계를 온톨로지의 구조에 공리 집합으로 인코딩하여 온톨로지로 구성한다. 효율적으로 해결하기 위해 집합의 검색 공간을 정수 프로그래밍 문제로 표현하며, 최적화를 위해 별로 도움이 되지 않는 규칙은 제거하는 단순한 축소를 사용하여 행렬을 감소시킨다. 결론적으로 본 논문에서는 주어진 데이터를 이용하여 패턴을 일반화하고, 유용한 패턴을 유지하면서 검색 공간을 줄이는 방법을 제시하며, 구조화된 온톨로지로 구성하는 알고리즘을 적용하여 추출된 관계를 이용해 자동으로 효율적인 온톨로지로 생성하는 방법을 제안한다.

Conjugate Gradient 기법을 이용한 관측교통량 기반 기종점 OD행렬 추정 모형 개발 (The Estimation Model of an Origin-Destination Matrix from Traffic Counts Using a Conjugate Gradient Method)

  • 이헌주;이승재
    • 대한교통학회지
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    • 제22권1호
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    • pp.43-62
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    • 2004
  • 전통적으로 기종점 OD행렬을 추정하는 방법은 가구통행조사나 노측면접조사를 실시하여 표본조사한 자료의 전수화 과정을 거쳐 기종점 OD행렬표를 작성한다. 조사 과정에서 조사표본수가 증가함에 따라 시간과 비용 및 조사오차가 수반되는 문제로 인하여 많은 제약이 내포되어 있다. 이러한 제약을 극복하기 위해 관측교통량을 이용하여 기종점 OD행렬을 추정하는 기법을 연구해 오고 있다 관측교통량으로 기종점 OD행렬을 추정하는 기법 중 gradient 모형은 가장 일반적으로 많이 이용하는 기법중의 하나다. 그러나 gradient모형을 이용하여 관측교통량으로 기종점 OD행렬을 추정한 결과 관측교통량과 추정교통량의 오차는 최소화시키면서 기종점 OD행렬을 추정하지만 사전(prior) 기종점 OD행렬의 OD행렬 구조를 유지하지 못할 경우가 많다. 즉 사전 기종점 OD행렬의 통행특성을 변경시키는 단점이 있다. 따라서 본 연구에서는 추정된 기종점 OD행렬은 사전 기종점 OD행렬의 OD행렬 구조를 반영하면서 관측교통량과 추정교통량의 오차를 최소화시켜주도록 하는 기종점 OD행렬 추정모형을 개발하기 위하여 Conjugate Gradient 알고리즘을 이용하였다. 개발된 모형을 검증하기 위하여 예제 분석가로망에서 모형의 일관성(일치성)을 분석하였다. 일관성 분석결과 모형의 상위수준(upper level)과 하위수준(lower level)이 내부적으로 유기적인 관계를 유지하고 있는 것으로 분석되었다. 또한 관측링크교통량에 관측오차를 반영하여 기종점 OD행렬의 추정력을 분석하였다. 분석결과는 관측교통량과 추정(배정)교통량의 오차는 허용오차 범위내에서 추정되는 것으로 분석되었고 추정된 기종점 OD행렬의 OD행렬 구조는 사전 기종점 OD행렬의 OD행렬 구조를 유지하는 것으로 분석되었다.른 지원이 필요하다. 이와 같은 철도화물활성화의 정책수립필요성의 배경에는 철도화물수송이 효율성과 환경친화성, 높은 안전성 등 사회적 비용을 감소시키는 장점을 가지고 때문이다. 철도화물운송회사도 현재의 수송기능과 함께 포워더로서의 기능을 가져야 할 것이며, 운임인하노력과 속도향상을 위한 노력을 계속하여야 할 것이다.적 대안경로 집합을 역추적 생성하는 과정을 단계별로 추가 설명하였다.을 받지 않은 시추공의 자료는 사용하였다 이러한 온천 주변 지역이라 하더라도 실제는 온천의 pumping 으로 인한 대류현상으로 주변 일대의 온도를 올려놓았기 때문에 비교적 높은 지열류량 값을 보인다. 한편 한반도 남동부 일대는 이번 추가된 자료에 의해 새로운 지열류량 분포 변화가 나타났다 강원 북부 오색온천지역 부근에서 높은 지열류량 분포를 보이며 또한 우리나라 대단층 중의 하나인 양산단층과 같은 방향으로 발달한 밀양단층, 모량단층, 동래단층 등 주변부로 NNE-SSW 방향의 지열류량 이상대가 발달한다. 이것으로 볼 때 지열류량은 지질구조와 무관하지 않음을 파악할 수 있다. 특히 이러한 단층대 주변은 지열수의 순환이 깊은 심도까지 가능하므로 이러한 대류현상으로 지표부근까지 높은 지온 전달이 되어 나타나는 것으로 판단된다.의 안정된 방사성표지효율을 보였다. $^{99m}Tc$-transferrin을 이용한 감염영상을 성공적으로 얻을 수 있었으며, $^{67}Ga$-citrate 영상과 비교하여 더 빠른 시간 안에 우수한 영상을 얻을 수 있었다. 그러므로 $^{99m}Tc$-transierrin이 감염 병소의 영상진단에 사용될 수 있을 것으로 기대된다.리를 정량화 하였다. 특히 선조체에서의 도파민 유리에 의한 수용체 결합능의