An Analysis of the Research Methodologies and Techniques in the Industrial Engineering Using Text Mining

조근호,; 임시영,; 허선,

doi:10.7232/jkiie.2014.40.1.052

Cited by 14 publications

(5 citation statements)

References 3 publications

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“…최근에는 적용 범위가 더욱 확대 되어 가상 환경이 필요한 연구나 오락(Entertainment)분 야에도 시뮬레이션 기법이 사용되고 있다 (Nance and Sargent, 2002). 이와 같이 시뮬레이션은 사용범위가 확 대될 뿐만 아니라 전통적 활용분야인 산업공학 분야에서 여전히 가장 많이 사용되는 기법이다 (Cho et al, 2014). 시뮬레이션의 사용 분야와 목적이 다변화되고 기법들도 다양해짐에 따라 시뮬레이션 연구 흐름에 대해 이해하고, 향후 방향을 전망하는 것이 필요하다.…”

Section: 서론unclassified

Trend Analysis using Topic Modeling for Simulation Studies

Na¹,

Kim²,

Jung³

et al. 2016

Journal of the Korea Society for Simulation

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The recent diversification in terms of the scope and techniques used for simulations has highlighted the importance of analyzing state of the art trends and applying these for educational and study purposes. While qualitative methods such as literature research or experts' assessments have previously been used, such methods are in fact likely to reflect the subjective viewpoint of experts, and to involve too much time and money for the results obtained. For the purpose of an objective analysis, a quantitative analysis that included the examination of topics found in domestic academic journal articles was conducted in the present study. In this regard, simulation was found to be most actively used domestically in the electrical and electronic fields. In addition, simulation was also found to be employed for the purpose of education and entertainment in the social sciences. The results of this study are expected to help to facilitate the prediction of the direction of the development of not only the Korea Society for Simulation, but also domestic simulation studies. This study also raises the possibility of applying text mining to trend analysis, and proves that it can be a useful method for deriving future key topics and helping experts' decisions regarding quantitative data.

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Section: 서론unclassified

Trend Analysis using Topic Modeling for Simulation Studies

Na¹,

Kim²,

Jung³

et al. 2016

Journal of the Korea Society for Simulation

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“…Zhang and Jiao (2007) analyzes customer interaction documents in order to extract customization strategy. On the other hands, Cho et al (2014) uses text-mining techniques to journal articles in order to identify the trend of research methodologies applied in industrial engineering domains.…”

Section: Distribution Channel Partner Networkmentioning

confidence: 99%

Business Model Mining: Analyzing a Firm's Business Model with Text Mining of Annual Report

Lee¹,

Hong²

2014

Industrial Engineering and Management Systems

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As the business model is receiving considerable attention these days, the ability to collect business model related information has become essential requirement for a company. The annual report is one of the most important external documents which contain crucial information about the company's business model. By investigating business descriptions and their future strategies within the annual report, we can easily analyze a company's business model. However, given the sheer volume of the data, which is usually over a hundred pages, it is not practical to depend only on manual extraction. The purpose of this study is to complement the manual extraction process by using text mining techniques. In this study, the text mining technique is applied in business model concept extraction and business model evolution analysis. By concept, we mean the overview of a company's business model within a specific year, and, by evolution, we mean temporal changes in the business model concept over time. The efficiency and effectiveness of our methodology is illustrated by a case example of three companies in the US video rental industry.

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“…지능형 도시와 관련한 텍스트 마이닝 연구로는 U-City와 관련 한 국내·외 논문의 연구 경향을 파악하여 향후 U-City 의 연구 방향을 제시한 연구가 있었고 [4], 정보계측기 법을 활용하여 공공데이터포털에서 수집한 공공데이터 와 ｢제2차 유비쿼터스도시종합계획｣에서 사용된 키워 드를 분석·비교하여 U-City 측면에서의 공공데이터 활 용성을 검토한 연구가 있다 [5]. 그 외 논문들의 동향을 텍스트마이닝을 활용하여 분 석한 연구로는 국내 산업공학 관련 저널들에 게재된 논 문들의 주제어들과 초록 내용을 바탕으로 산업공학의 주요 연구기법들의 동향을 파악한 연구가 있다 [6]. 그 외 키워드 분석을 중심으로 수행된 연구는 특허를 분석 하고 기술의 동향 및 차후 기술의 예측에 대한 연구 [7], 한글 형태소 및 키워드 분석에 기반한 웹 문서 분류에 대한 연구 [8] …”

Section: 서 론unclassified

Study on the Trends of U-City and Smart City Researches using Text Mining Technology

Lim¹,

Lim²,

Lee³

2014

Journal of Korean Society for Geospatial Information System

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City is currently developing into intelligent city which adopts the ICT technology to resolve the problems and increase the competitiveness. This intelligent city is promoted under the name of U-City or Smart City, yet it is also criticized in the trend for what the differences between U-City and Smart City are. In this study, we draws the differences between U-City and Smart City from our distinctive research method, text mining which analyzes the trend of research papers, and contribute to direction of U-City study in the future. Through this analysis, the study results in that U-City focuses practical implementation in domestic cities while Smart City focuses technological development and provision of single service. However, this paper has a limitation as the subjective opinion was reflected to configure the sets of keywords, and only keywords and abstracts were analyzed. Therefore, further studies are needed to confirm the differences between U-City and Smart City with related research papers and reports.

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An Analysis of the Research Methodologies and Techniques in the Industrial Engineering Using Text Mining

Cited by 14 publications

References 3 publications

Trend Analysis using Topic Modeling for Simulation Studies

Trend Analysis using Topic Modeling for Simulation Studies

Business Model Mining: Analyzing a Firm's Business Model with Text Mining of Annual Report

Study on the Trends of U-City and Smart City Researches using Text Mining Technology

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