• 제목/요약/키워드: co-occurrence frequency

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텍스트 마이닝을 활용한 대학 화학 실험 수업의 서술형 강의 평가 내용 분석 (Analysis of Descriptive Course Evaluation of University Chemistry Laboratory Class using Text Mining)

  • 윤정현;박금주
    • 대한화학회지
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    • 제66권3호
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    • pp.218-227
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    • 2022
  • 이 연구는 대학 화학 실험 수업에 참여한 수강생이 작성한 강의평가의 서술형 내용 중 수업의 좋은 점과 개선사항에 대해 텍스트 마이닝 기법을 적용하여 학생들의 의견을 분석하고, 수업의 개선 방안을 도출하는 데 목적이 있다. 연구 방법은 텍스트 마이닝 기법을 적용하여 핵심단어의 출현 빈도, 동시 출현 빈도, 네트워크 분석을 실시하였다. 연구결과, 화학 실험 수업의 좋은점 네트워크에서는 수업과 교수님 간 언급이 가장 많았고, 설명, 이해, 학생, 열정, 재미, 조교, 실험, 도움 등과 함께 언급되었다. 화학 실험 수업의 개선점 네트워크에서는 수업과 학생 간 언급이 가장 많았고, 교수님, 내용, 설명, 시험, 좋겠다, 실험, 이해, 어렵다, 생각, 문제 등과 함께 언급되었다. 즉, 학생들은 '쉽고 자세한 설명'과 '조교의 도움'으로 인해 실험 수업 내용이 잘 이해되고, 실험 과정에 재미와 만족을 느꼈다는 의견을 수업의 좋은 점으로 제시하였다. 반면에 '수업 내용과 시험의 어려움', '과도한 과제', '수업 환경'으로 인해 수업 내용에 대한 이해도와 집중도가 떨어진다는 부정적인 의견을 수업의 개선점으로 제시하였다.

텍스트네트워크분석을 적용하여 탐색한 국내 시뮬레이션간호교육 연구주제 동향 (Simulation Nursing Education Research Topics Trends Using Text Network Analysis)

  • 박찬숙
    • 동서간호학연구지
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    • 제26권2호
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    • pp.118-129
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    • 2020
  • Purpose: The purpose of this study was to analyze the topic trend of domestic simulation nursing education research using text network analysis(TNA). Methods: This study was conducted in four steps. TNA was performed using the NetMiner (version 4.4.1) program. Firstly, 245 articles from 4 databases (RISS, KCI, KISS, DBpia) published from 2008 to 2018, were collected. Secondly, keyword-forms were unified and representative words were selected. Thirdly, co-occurrence matrices of keywords with a frequency of 2 or higher were generated. Finally, social network-related measures-indices of degree centrality and betweenness centrality-were obtained. The topic trend over time was visualized as a sociogram and presented. Results: 178 author keywords were extracted. Keywords with high degree centrality were "Nursing student", "Clinical competency", "Knowledge", "Critical thinking", "Communication", and "Problem-solving ability." Keywords with high betweenness centrality were "CPR", "Knowledge", "Attitude", "Self-efficacy", "Performance ability", and "Nurse." Over time, the topic trends on simulation nursing education have diversified. For example, topics such as "Neonatal nursing", "Obstetric nursing", "Pediatric nursing", "Blood transfusion", "Community visit nursing", and "Core basic nursing skill" appeared. The core-topics that emerged only recently (2017-2018) were "High-fidelity", "Heart arrest", "Clinical judgment", "Reflection", "Core basic nursing skill." Conclusion: Although simulation nursing education research has been increasing, it is necessary to continue studies on integrated simulation learning designs based on various nursing settings. Additionally, in simulation nursing education, research is required not only on learner-centered educational outcomes, but also factors that influence educational outcomes from the perspective of the instructors.

지적정보 기반의 강우빈도별 침수지역 분석 (Analysis of Flooded Areas for Cadastral Information-Based Rainfall Frequencies)

  • 민관식;이형석
    • 한국지리정보학회지
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    • 제13권4호
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    • pp.101-110
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    • 2010
  • 태풍 및 국지성 폭우로 인한 침수 및 범람지역의 발생이 증가하고 있어 재해 이력에 대한 체계적 구축과 침수 예측에 대한 정략적 분석을 통한 재해 예방이 필요하다. 본 연구는 피해지역의 수치영상을 기반으로 피해조사 범위 산정의 기반 자료와 속성정보를 제공하기 위하여 지리정보체계 매핑 기술을 사용하여 수치영상과 피해지역 연속지적도의 속성정보 융합을 통해 현장 실사용 재해정보지도를 구축하였다. 또한, 재해정보의 고도화를 위해 홍수범람 시뮬레이션을 통해 대상 지역의 빈도별 홍수량을 산정하여 돌발홍수 예측지역을 표시하였으며 지적 정보를 활용하여 빈도별 침수면적 및 침수피해율을 산출하였다. 따라서, 집중호우에 따른 홍수 시나리오 분석을 통해 사전에 자연재해 예방 및 대책을 위한 의사결정을 지원함으로써 자연재해관리 업무 효율성 및 대응능력 강화에 기여할 수 있는 방안을 제시하였다.

미래를 향하는 한국 마이크로 패키징 학회지의 과거와 현재 연구영역에 관한 연구 (Past and Present Research Topics within the Korean Micoelectronics and Packaging Using Social Network Analysis)

  • 이현정;손일
    • 마이크로전자및패키징학회지
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    • 제22권3호
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    • pp.9-17
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    • 2015
  • After its inception in 1994, the Journal of the Microelectronics and Packaging Society has continued to make significant strides in the number and quality of publications within its field. The interest in the microelectronics and packaging research has become more critical as consumer electronic products continue its increasing trend towards thinner and lighter devices that tests the boundaries of electronic devices. This study utilizes social network analysis of all published literature in the Journal for the past 22 years. Using the keywords and abstracts available within each individual article, the publications within the Journal has focused on major topics covering (1) flip chip, (2) reliability, (3) Cu, (4) IMC (intermetallic compounds), and (5) thin film. Using the social network relationship between keywords within articles, flip chip was closely associated with reliability, BGA (ball grid array), contact resistance, electromigration in many of the published research works within the Journal. From the centrality analysis, it was found that flip chip, reliability, Cu, thin film, IMC, and RF (radio frequency) to have a high degree of centrality suggesting these key areas of research have relatively high connectivity with other research topics within the Journal and is central to many of the research fields within the micro-electronics and packaging area. The cohesiveness analysis showed research clustering of five major cohesive sub-groups and was mapped to better understand the major area of research within this field. Research within the field of micro-electronics and packaging converges many disciplines of science and engineering. The continued evolution within this field requires an understanding of the rapidly changing industry environment and the consumer needs.

A Method for Information Source Selection using Teasaurus for Distributed Information Retrieval

  • Goto, Shoji;Ozono, Tadachika;Shintani, Toramatsu
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.272-277
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    • 2001
  • In this paper, we describe a new method for selecting information sources in a distributed environment. Recently, there has been much research on distributed information retrieval, that is information retrieval (IR) based on a multi-database model in which the existence of multiple sources is modeled explicitly. In distributed IR, a method is needed that would enable selecting appropriate sources for users\` queries. Most existing methods use statistical data such as document frequency. These methods may select inappropriate ate sources if a query contains polysemous words. In this paper, we describe an information-source selection method using two types of thesaurus. One is a thesaurus automatically constructed from documents in a source. The other is a hand-crafted general-purpose thesaurus(e.g. WordNet). Terms used in documents in a source differ from one another and the meanings of a term differ depending on th situation in which the term is used. The difference is a characteristic of the source. In our method, the meanings of a term are distinguished between by the relationship between the term and other terms, and the relationship appear in the co-occurrence-based thesaurus. In this paper, we describe an algorithm for evaluating a usefulness of a source for a query based on a thesaurus. For a practical application of our method, we have developed Papits, a multi-agent-based in formation sharing system. An experiment of selection shows that our method is effective for selecting appropriate sources.

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Sectors from Phyricularia grisea Isolates on Edifenphos and Iprobenfos-Amended Media

  • Kim, Yun-Sung;Baik, Jong-Min;Kim, Eui-Nam;Kim, Ki-Deok
    • The Plant Pathology Journal
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    • 제20권4호
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    • pp.244-246
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    • 2004
  • Sectors of rice blast fungus, Pyricularia grisea, frequently appeared on potato dextrose agar amended with edifenphos and iprobenfos. Thus, we assessed the sector-forming frequency of isolates of P. grisea and compared the fungicide sensitivity between wild types and sectors against the fungicides. The 905 isolates of the fungus were obtained from rice-growing locations in Korea from 1997-1998. When the isolates were grown on potato dextrose agar amended with minimal inhibitory concentrations of edifenphos (20 ${\mu}$g a.i./ml)and iprobenfos (55 ${\mu}$g a.i./ml), they produced sectors that overcame the effect of the fungicides. Among the 905 isolates tested, 9.0% produced sectors against edifenphos and 5.6%, against iprobenfos. Different sector-forming frequencies were also observed among the 11 locations of Korea. Sectors obtained from the fungicide-amended media generally grew more than their counterpart wild types grown on the media with either edifenphos or iprobenfos, regardless of their origins. In this study, greater relative growth of sectors over wild types of tested isolates can support the resistant characteristic of the fungus to survive against the fungicides. Therefore, the results indicate that the sectoring in rice blast fungus, P. grisea, may play a role in the occurrence of fungicide resistance.

연관성 규칙에 기반한 보존된 단백질 도베인 조합의 식별 (Identification of Conserved Protein Domain Combination based on Association Rule)

  • 정석훈;장우혁;한동수
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제15권5호
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    • pp.375-379
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    • 2009
  • 도메인은 단백질의 진화와 삼차구조 및 분자 기능의 기본 단위체이다. 단백질은 한 개 이상의 도메인들로 구정 되며, 단백질의 기능 또한 각 도메인이 가진 기능의 집합으로 구현된다. 단백질은 특정 기능을 담당하기 위해 진화되어 왔으므로, 도메인 또한 단백질 내에서 기능을 위한 특정 조합 패턴, 즉 보존도메인 조합을 가진다. 본 논문은 각 도메인 조합의 진화상 보존 정도를 측정할 수 있는 연관성 규칙 기반 계산 기법을 제안한다. 제안된 기법은 기존 기법에서 주로 고려되었던 도메인 조합의 빈도뿐 아니라, 조합 내 소속 도메인간의 상호 의존도를 측정하여 주어진 조합의 보존 정도를 산출한다. 이를 기반으로 S.cerevisiae의 단백질을 대상으로 보존 도메인 조합을 추출하였으며, Gene Ontology를 이용하여 그 생물학적 의미를 분석하였다. 그 결과 제안된 기법으로 추출된 보존 도메인 조합은 기존의 것에 비해 조합 내 기능의 유사도가 높았으며, 따라서 제안된 기법이 생물학적 기능의 협업 위해 보존된 도메인 조합의 추출에 우수하다 할 것이다. 또한 S.cerevisiae 단백질체에는 서로 의존도가 높고 자주 나타나는 보존 도메인 조합이 존재하며, 그러한 조합들은 molecular function의 협업과 관련 있음을 밝혀냈다.

Z세대 패션에 대한 소셜미디어의 빅데이터 분석 (Social media big data analysis of Z-generation fashion)

  • 성광숙
    • 한국의상디자인학회지
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    • 제22권3호
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    • pp.49-61
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    • 2020
  • This study analyzed the social media accounts and performed a Big Data analysis of Z-generation fashion using Textom Text Mining Techniques program and Ucinet Big Data analysis program. The research results are as follows: First, as a result of keyword analysis on 67.646 Z-generation fashion social media posts over the last 5 years, 220,211 keywords were extracted. Among them, 67 major keywords were selected based on the frequency of co-occurrence being greater than more than 250 times. As the top keywords appearing over 1000 times, were the most influential as the number of nodes connected to 'Z generation' (29595 times) are overwhelmingly, and was followed by 'millennials'(18536 times), 'fashion'(17836 times), and 'generation'(13055 times), 'brand'(8325 times) and 'trend'(7310 times) Second, as a result of the analysis of Network Degree Centrality between the key keywords for the Z-generation, the number of nodes connected to the "Z-generation" (29595 times) is overwhelmingly large. Next, many 'millennial'(18536 times), 'fashion'(17836 times), 'generation'(13055 times), 'brand'(8325 times), 'trend'(7310 times), etc. appear. These texts are considered to be important factors in exploring the reaction of social media to the Z-generation. Third, through the analysis of CONCOR, text with the structural equivalence between major keywords for Gen Z fashion was rearranged and clustered. In addition, four clusters were derived by grouping through network semantic network visualization. Group 1 is 54 texts, 'Diverse Characteristics of Z-Generation Fashion Consumers', Group 2 is 7 Texts, 'Z-Generation's teenagers Fashion Powers', Group 3 is 8 Texts, 'Z-Generation's Celebrity Fashions' Interest and Fashion', Group 4 named 'Gucci', the most popular luxury fashion of the Z-generation as one text.

음의 일치 빈도를 고려한 유사성 측도의 대소 관계 규명에 관한 연구 (A study on the ordering of similarity measures with negative matches)

  • 박희창
    • Journal of the Korean Data and Information Science Society
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    • 제26권1호
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    • pp.89-99
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    • 2015
  • 세계 경제 포럼과 대한민국 지식경제부에서 10대 핵심정보기술 가운데 하나로 빅 데이터를 선정한 바 있다. 빅 데이터에 대한 분석은 결국 데이터들이 가지고 있는 속성을 얼마나 효과적으로 분석하느냐가 관건이다. 이를 위한 기법들 중에서 군집 분석 방법은 거리 또는 유사성 측도를 이용하여 각 개체의 유사성을 측정하여 유사도가 높은 대상 집단을 분류하고 군집에 속한 개체들의 유사성과 서로 다른 군집에 속한 개체간의 상이성을 밝혀내는 통계분석 기법이다. 군집분석에서 이용되고 있는 유사성 측도는 데이터의 속성에 따라 여러 가지의 형태로 분류할 수 있으며, 범주형 데이터에 적용 가능한 측도들은 음의 일치 빈도를 고려한 측도, 음의 일치 빈도를 고려하지 않는 측도, 그리고 주변 확률 분포의 포함 여부에 의한 측도 등으로 구분할 수 있다. 음의 일치 빈도는 동시발생빈도와 더불어 두 항목간의 관련성에 대한 순방향성을 의미하므로 이를 고려하지 않는 유사성 측도들보다 이를 고려한 유사성 측도들이 좀 더 현실적인 측도라고 할 수 있다. 따라서 본 논문에서는 이분형 데이터에 대해 일반적으로 많이 활용되고 있는 음의 일치 빈도를 고려한 측도들에 대해 대소 관계를 규명함으로써 이들의 상한 및 하한을 설정하는 문제를 고려하였다.

Coexisting JAK2V617F and CALR Exon 9 Mutations in Myeloproliferative Neoplasms - Do They Designate a New Subtype?

  • Ahmed, Rifat Zubair;Rashid, Munazza;Ahmed, Nuzhat;Nadeem, Muhammad;Shamsi, Tahir Sultan
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권3호
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    • pp.923-926
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    • 2016
  • The classic BCR-ABL1-negative myeloproliferative neoplasm is an operational sub-category of MPNs that includes polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF). The JAK2V617F mutation is found in ~ 95% of PV and 50-60% of ET or PMF. In most of the remaining JAK2V617F-negative PV cases, JAK2 exon 12 mutations are present. Amongst the JAK2V617F-negative ET or PMF 5-10% of patients carry mutations in the MPL gene. Prior to 2013, there was no specific molecular marker described in the remaining 30-40% ET and PMF. In December 2013, two research groups independently reported mutations in the gene CALR found specifically in ET (67-71%) and PMF (56-88%) but not in PV. Initially CALR mutations were reported mutually exclusive with JAK2 or MPL. However, co-occurrence of CALR mutations with JAK2V617F has been reported recently in a few MPN cases. Many studies have reported important diagnostic and prognostic significance of CALR mutations in ET and PMF patients and CALR mutation screening has been proposed to be incorporated into WHO diagnostic criteria for MPN. It is suggestive in diagnostic workup of MPN that CALR mutations should not be studied in MPN patients who carry JAK2 or MPL mutations. However JAK2V617F and CALR positive patients might have a different phenotype and clinical course, distinct from the JAK2-positive or CALR-positive subgroups and identification of the true frequency of these patients may be an important factor for defining the prognosis, risk factors and outcomes for MPN patients.