• Title/Summary/Keyword: Database and statistics

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Recent Trends of the Scientific Publication Patterns of Korean Thoracic and Cardiovascular Surgeons (대한민국 흉부외과 의사들의 논문저술경향의 변화)

  • Lim, Cheong
    • Journal of Chest Surgery
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    • v.42 no.5
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    • pp.561-565
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    • 2009
  • Background: There haven't been any papers that have analyzed the recent trends in the changing attitudes and results of Korean thoracic and cardiovascular surgeons who submit scientific papers to the major cardiothoracic journals. Material and Method: I analyzed the original articles that were published in the major cardiothoracic surgery journals from 1995 to 2008 by Korean thoracic and cardiovascular surgeons. The data was retrieved from the internet websites of Pubmed, three major international SCI (Science Citation Index) journals and the Korean Journal of Thoracic and Cardiovascular Surgery. I then analyzed the data according to the chronological year, the subjects and the subspecialties. Result: The total number of original articles in the three international journals was 14,629. Among them, the number of articles written by Korean scientists was 157 (1.07%). A sharp increase was identified from 28 articles out of 7,674 articles (0.36%) prior to 2002, to 129 articles out of 6,955 articles (1.83%) after 2003. On the other hand, the annual number of articles in the Korean Journal was markedly decreased from 126.8 articles by 1999 to 80.0 articles after 2000. The annual number of articles in the Korean Journal was also decreased from 58.8% by 1999 to 48.3% after 2000. Conclusion: There was an observed increase in submitting articles to the international SCI journals after 2000 rather than to the Korean journal. The proportion of original articles in the Korean journal is also decreasing. I think we need to pay special attention to improve the quality and quantity of articles published in the Korean journal.

The proposition of compared and attributably pure confidence in association rule mining (연관 규칙 마이닝에서 비교 기여 순수 신뢰도의 제안)

  • Park, Hee Chang
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.3
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    • pp.523-532
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    • 2013
  • Generally, data mining is the process of analyzing big data from different perspectives and summarizing it into useful information. The most widely used data mining technique is to generate association rules, and it finds the relevance between two items in a huge database. This technique has been used to find the relationship between each set of items based on the interestingness measures such as support, confidence, lift, etc. Among many interestingness measures, confidence is the most frequently used, but it has the drawback that it can not determine the direction of the association. The attributably pure confidence and compared confidence are able to determine the direction of the association, but their ranges are not [-1, +1]. So we can not interpret the degree of association operationally by their values. This paper propose a compared and attributably pure confidence to compensate for this drawback, and then describe some properties for a proposed measure. The comparative studies with confidence, compared confidence, attributably pure confidence, and a proposed measure are shown by numerical example. The results show that the a compared and attributably pure confidence is better than any other confidences.

The Prevalence Rate of Tuberculin Skin Test Positive by Contacts Group to Predict the Development of Active Tuberculosis After School Outbreaks

  • Kim, Hee Jin;Chun, Byung Chul;Kwon, AmyM;Lee, Gyeong-Ho;Ryu, Sungweon;Oh, Soo Yeon;Lee, Jin Beom;Yoo, Se Hwa;Kim, Eui Sook;Kim, Je Hyeong;Shin, Chol;Lee, Seung Heon
    • Tuberculosis and Respiratory Diseases
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    • v.78 no.4
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    • pp.349-355
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    • 2015
  • Background: The tuberculin skin test (TST) is the standard tool to diagnose latent tuberculosis infection (LTBI) in mass screening. The aim of this study is to find an optimal cut-off point of the TST+ rate within tuberculosis (TB) contacts to predict the active TB development among adolescents in school TB outbreaks. Methods: The Korean National Health Insurance Review and Assessment database was used to identify active TB development in relation to the initial TST (cut-off, 10 mm). The 7,475 contacts in 89 schools were divided into two groups: Incident TB group (43 schools) and no incident TB group (46 schools). LTBI treatment was initiated in 607 of the 1,761 TST+ contacts. The association with active TB progression was examined at different cut-off points of the TST+ rate. Results: The mean duration of follow-up was $3.9{\pm}0.9years$. Thirty-three contacts developed active TB during the 4,504 person-years among the TST+ contacts without LTBI treatment (n=1,154). The average TST+ rate for the incident TB group (n=43) and no incident TB group (n=46) were 31.0% and 15.5%, respectively. The TST+ rate per group was related with TB progression (odds ratio [OR], 1.025; 95% confidence interval [CI], 1.001-1.050; p=0.037). Based on the TST+ rate per group, active TB was best predicted at TST+ ${\geq}$ 16% (OR, 3.11; 95% CI, 1.29-7.51; area under curve, 0.64). Conclusion: Sixteen percent of the TST+ rate per group within the same grade students can be suggested as an optimal cut-off to predict active TB development in middle and high schools TB outbreaks.

Classification and Analysis of Data Mining Algorithms (데이터마이닝 알고리즘의 분류 및 분석)

  • Lee, Jung-Won;Kim, Ho-Sook;Choi, Ji-Young;Kim, Hyon-Hee;Yong, Hwan-Seung;Lee, Sang-Ho;Park, Seung-Soo
    • Journal of KIISE:Databases
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    • v.28 no.3
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    • pp.279-300
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    • 2001
  • Data mining plays an important role in knowledge discovery process and usually various existing algorithms are selected for the specific purpose of the mining. Currently, data mining techniques are actively to the statistics, business, electronic commerce, biology, and medical area and currently numerous algorithms are being researched and developed for these applications. However, in a long run, only a few algorithms, which are well-suited to specific applications with excellent performance in large database, will survive. So it is reasonable to focus our effort on those selected algorithms in the future. This paper classifies about 30 existing algorithms into 7 categories - association rule, clustering, neural network, decision tree, genetic algorithm, memory-based reasoning, and bayesian network. First of all, this work analyzes systematic hierarchy and characteristics of algorithms and we present 14 criteria for classifying the algorithms and the results based on this criteria. Finally, we propose the best algorithms among some comparable algorithms with different features and performances. The result of this paper can be used as a guideline for data mining researches as well as field applications of data mining.

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Distribution Maps for Waste generation using GIS (GIS 이용 폐기물 발생량 분포지도 작성)

  • Kim, Yi-Hyun;Hong, S. Young;Hong, Seung-Gil;Choe, Eunyoung;Nam, Jae Jak;So, Kyu Ho
    • Journal of the Korea Organic Resources Recycling Association
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    • v.18 no.2
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    • pp.55-61
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    • 2010
  • This study was carried out to analyze national and regional distribution of the organic wastes generation and build their distribution maps including food wastes, paper and wood wastes, wastewater and slaughterhouse wastes. The information for the annual waste production was modified using statistics from Ministry of Environment (MOE). Based on waste generation resources data, we established database architecture table about waste generation. The distribution maps for food wastes were built up in both national and regional scales and distribution maps for paper and wood wastes, wastewater and slaughterhouse wastes were also produced, respectively. The distribution maps of waste generation graphically provide the information regarding biomass resources to policy-makers, farmers, general users and it is highly expected to be utilized for policy-making of environmental-friendly agriculture and bioenergy.

Network analysis using frequency of cross-citation and comparing citation index of accounting journals (회계학 관련 학술지의 인용지수 비교 및 상호인용 빈도를 이용한 네트워크 분석)

  • Choi, Kyoung-Ho;Oh, Hee-Hwa;Kwag, Hee-Jong
    • Journal of Digital Convergence
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    • v.12 no.2
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    • pp.143-149
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    • 2014
  • Currently, despite the quantitative growth of domestic journal, objective and metric criterion to evaluate the contents and quality of those journals is inadequate. As a result, depending on a foreign citation index like SCI to evaluate the research result is causing some problems such as, thesis of an excellent standard being presented and published in foreign countries, thus, neglecting journals written in Korean. Hereat, the Korea Citation Index(KCI) is constructing a database of the journals published by academic associations; scientific paper information, articles information, and bibliographic, analyzing the quoting relation. Consequently, KCI is providing the basic information and the corresponding quoting relations of journals and papers on its webpage. This study compares the impact level of domestic accounting related journals by KCI and analyzes the network among journals using the cross-citation frequency from a social network analysis point of view. As a result, Accounting-related journals are now more desirable than the location in order to have a variety of interdisciplinary research needs to be encouraged. Through this exchange of other disciplines and actively made, which is the phase of apparent accounting-related journals expect to be greatly enhanced looks.

A Research on the State of Korean Seafood Marketing at the Colonial Period - Focused on the West Coast - (일제강점기의 수산적 유수실태에 관한 고찰 -서해안 지역을 중심으로-)

  • 김수관;두정완;윤영선
    • The Journal of Fisheries Business Administration
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    • v.35 no.1
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    • pp.133-168
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    • 2004
  • The purpose of this study is to examine the state and characteristic of seafood marketing in Korean West Coast during the colonial period ruled by Japan. To accomplish the purpose, we tried to set the fisheries statistical database by reviewing of $\boxDr$Statistical Annual Report of Chosun Chongdokbu$\boxUl$ and $\boxDr$Official Report of Chosun Chongdokbu$\boxUl$. A trend analysis was carried out with the data. Also, by reviewing of articles related to the state of seafood marketing via $\boxDr$Daehan Maeil Newspaper$\boxUl$, $\boxDr$Maeil Newspaper$\boxUl$ issued at the period, we could find out some meaningful findings which backed up the statistics in realistic facts. For numbers of businessman in seafood marketing, it was clear that the number of Japanese businessmen increased more quickly than that of Korean compared with other sphere of fisheries. That means Japanese grasped Korean seafood market in a short time. In price of seafood in terms of cities, Kunsan was comparatively higher than Incheon and Mokpo. In price of seafood in terms of species, ‘Snapper’ was mostexpensive, and ‘Mackerel Pike’, ‘Anchovy’, ‘Mullet’, ‘Eel’, ‘Flatfish’ followed in that order. In price of a species in terms of ‘Yellow Croaker’, which was famous in West Sea, ‘Croaker with salt’ was more expensive than dried and fresh one. For the transition trend of number of fish market, we could ascertain that the number of market increased until 1919, however, it decreased slowly from 1932. That means Japanese government went to war against China from 1931. Of the West Coast, the number of fish market in Chungnam province was most high, but that of Chonbuk outrun from 1940. At that time, the number of fish market in West Coast reached to 34% out of that of whole country. In 1919, the proportion of seafood sales amount of West Coast neighboring provinces, such as Kyunggido, Chungnam, and Chonbuk, was 23% of whole country which rose to 28% in 1929, and 29% in 1939. Therefore, we could assure that seafood marketing was very active at that time in the region. When we consider the trend of seafood export at the main ports of West Coast, in 1910's, the export through Mokpo and Inchon port was very live but that of Kunsan was very tiny. However, in 1920's, the export amount of Inchon port did not much change, but that of Mokpo decreased, whereas, that of Kunsan increased. In the early and middle of 1910' s which was around beginning of Japanese ruling period, we realized that the imperialist Japan was very eager in political efforts to enhance the mind of seafood's quality improvement through the opening of several fisheries competitive shows and fairs.

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A Study on Greenhouse Gas Emissions Estimation based on Mileage Through Accumulation of Activity Databases (활동자료 구축을 통한 주행거리 기반의 온실가스 배출량산정방법에 관한 연구)

  • Bae, Bo Ram;Kim, Gyeong Seok
    • Journal of Korean Society of Transportation
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    • v.32 no.1
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    • pp.1-12
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    • 2014
  • The tier 3 methodology used in estimation of greenhouse gas emissions from road sectors is based on mileage data. However, such data can neither accurately represent the mileage of regional unit nor have sufficient integrated data reflecting the characteristics by region, vehicle type, fuel type and road type. Such estimation of greenhouse gas emissions is not reliable. Accordingly, the purpose of this study is, firstly to accumulate activity data based on distance traveled which enables us to accurately estimate the amount of green gas emitted by regional unit(emission point), and secondly, to develop a methodology for estimation of greenhouse gas emissions using these data. To do this, the study utilizes the mileage data of Korea Transportation Safety Authority(TS), statistics of registered motor vehicles, statistical yearbook of traffic volume from the Ministry of Land, Infrastructure and Transport(MLIT), the Korea Transport Database of the Korea Transport Institute(KOTI), and average road speed by local government. Methodology for estimation by local government level(emission point) is meaningful, because it reflects traffic pattern data including flow in and out and internal traffics. Finally, to verify the methodology presented in this study, it is applied to Seoul. Both greenhouse gas estimates, one by multiplying the average mileage and the number of registered vehicles and the other by multiplying traffic volume and road extension, are less than the amount estimated by the methodology presented in this study.

Patterns of Spontaneous Adverse Events Reporting on Human Papillomavirus Vaccines according to the Applicability of Brighton Collaboration Criteria in Korea from 2008 to 2017 (국내 사람유두종바이러스백신 접종 후 자발적 이상반응 보고사례의 Brighton Collaboration 기준 활용 가능성 연구)

  • Kim, Myo-Song;You, Seung-Hun;Park, Hye Min;Lee, Min-Taek;Kang, Ye-Jin;Koo, Hyunji;Jung, Sun-Young
    • Korean Journal of Clinical Pharmacy
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    • v.30 no.1
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    • pp.19-30
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    • 2020
  • Objective: To describe patterns of spontaneous reporting on adverse events following immunization (AEFIs) using the human papilloma virus (HPV) vaccine according to the Brighton Collaboration (BC) criteria. Methods: We used the Korea Adverse Event Reporting System (KAERS) database including vaccinations between 2008 and 2017. To apply BC criteria, we classified 58 BC AEFIs into World Health Organization Adverse Reaction Terminology (WHO-ART) codes. We applied MedDRA standard medical queries that were pre-defined as five BC AEFIs. Terminology mapping between MedDRA and WHO-ART terms was performed by three researchers. Descriptive statistics of individual case safety reports were analyzed according to BC applicability. Disproportionality analyses were performed on each BC AEFI and each preferred AEFI term according to the case-noncase approach; reporting odds ratio (ROR) and 95% confidence intervals (CI) were calculated. Results: Among the 30,266 reports of vaccinations between 2008 and 2017, 2,845 reports included the HPV vaccine. Of these reports, 1,511 (53.1%) included at least one BC AEFI. Reports from physicians or manufacturers included more BC AEFIs than from other reporters. Injection site reactions and fever were frequently reported in BC AEFIs; spontaneous abortion and ectopic pregnancy (ROR, 14.29 [95% CI, 4.30-47.49]) and vasculitic peripheral neuropathy (ROR, 8.57 [95% CI, 2.61-28.10]) showed the highest ROR. Among non-BC AEFIs, dizziness or myalgia were frequently reported; exposure during pregnancy (ROR, 23.95 [95% CI, 16.27-35.25]) and inappropriate schedule of administration (ROR, 22.89 [95% CI, 16.74-31.31]) showed the highest ROR. Conclusion: BC criteria would be applicable for labeled AEFIs, whereas analyzing non-BC AEFIs would be useful for detecting unlabeled AEFIs.

Quantitative Analysis of LTE Essential Patents (LTE 표준특허의 정량적 분석)

  • Lee, Kyoung-Shil;Song, Young-Keun
    • The Journal of the Korea Contents Association
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    • v.12 no.12
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    • pp.721-732
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    • 2012
  • Patent information, which is generated under a specific, objective rule for a prolonged period of time, has the properties of technology, right, and management. Because of these characteristics of patents, patent analysis is used to identify R&D capacities and performances, and management strategies of a given nation or enterprise. In this paper, we analyze LTE essential patents which are key IPRs for implementing standardized LTE technology and major weapons in a global patent war. Total of 2,307 LTE essential patents, published and registered applications from European Telecommunications Standards Institute(ETSI)'s online IPR database as of January 2011, are analyzed in quantitative methods. The analysis results present status and statistics of LTE essential patents by major countries, applicant companies and technical fields. And a comparative study is done using 4 patent indices limited to the LTE essential patents issued in the United States. It is expected that results herein are useful for not only figuring out the technological competitiveness of countries and companies in LTE market, but also suggesting a guide to strategic IPR management for related industries.