• Journal of Information Processing Systems
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• 제8권4호
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• pp.621-652
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• 2012

Software Estimations provide an inclusive set of directives for software project developers, project managers, and the management in order to produce more realistic estimates based on deficient, uncertain, and noisy data. A range of estimation models are being explored in the industry, as well as in academia, for research purposes but choosing the best model is quite intricate. Estimation by Analogy (EbA) is a form of case based reasoning, which uses fuzzy logic, grey system theory or machine-learning techniques, etc. for optimization. This research compares the estimation accuracy of some conventional data mining models with a hybrid model. Different data mining models are under consideration, including linear regression models like the ordinary least square and ridge regression, and nonlinear models like neural networks, support vector machines, and multivariate adaptive regression splines, etc. A precise and comprehensible predictive model based on the integration of GRA and regression has been introduced and compared. Empirical results have shown that regression when used with GRA gives outstanding results; indicating that the methodology has great potential and can be used as a candidate approach for software effort estimation.

• 한국환경복원기술학회지
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• 제26권5호
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• pp.33-46
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• 2023

In this study, carbon storage in the aboveground biomass, litter layer, and soil layer was calculated for abandoned mining restoration areas to determine the level of carbon storage after the restoration project through comparison with the ecological reference. Five survey sites were selected for each abandoned mining restoration area in Boryeong-si, Chungcheongnam-do, and the ecological reference that can be a goal and model for the restoration project. The carbon storage in the restoration area was 0~21.3Mg C ha^-1, the deciduous layer 3.3~6.0Mg C ha^-1, and the soil layer(0-30cm) 8.3~35.1Mg C ha^-1, showing a significant difference in carbon storage by target site. The total carbon storage was between 6.1 and 35.3% of the ecological reference, with restoration area ranging from 14.0 to 62.4 Mg C ha^-1. The total carbon storage in the restoration area and the ecological reference differed the most in the aboveground biomass and was less than 12%. Based on these results, forest restoration area need to improve the carbon storage of forests through continuous management and monitoring so trees can grow and restore productivity in the early stages of the restoration project. The results of this study can be used as primary data for preparing future forest restoration indicators by identifying the storage of abandoned mining restoration areas.

• International Journal of Quality Innovation
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• 제2권2호
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• pp.93-100
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• 2001

This paper illustrates a prototyping framework of the documentation-standards retrieval system via the data mining approach for enhancing software development quality. We first present an approach for designing a retrieval algorithm based on data mining, with the three basic technologies of machine learning, statistics and database management, applied to this system to speed up the searching time and increase the fitness. This approach derives from the observation that data mining can discover unsuspected relationships among elements in large databases. This observation suggests that data mining can be used to elicit new knowledge about the design of a subject system and that it can be applied to large legacy systems for efficiency. Finally, software development quality will be improved at the same time when the project managers retrieving for the documentation standards.

• Communications for Statistical Applications and Methods
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• 제9권1호
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• pp.271-280
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• 2002

Recently, many companies have applied data mining techniques to promote competitive power in the field of their business market. In this study, we address how data mining, that is a technique to enable to discover knowledge from a deluge of data, Is used in an executed project in order to support decision making of an enterprise. Also, we develope scoring model on customer attrition probability for automobile-insurance company using data mining techniques. The development of scoring model in domestic insurance is given as an example concretely.

• 암석학회지
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• 제17권4호
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• pp.231-237
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• 2008

아르헨티나의 대표적인 외국광산기업은 엑스트라타, 바릭 골드, 야마나 골드, 앵글로 골드의 4개 회사들이다. 본문에서는 이들 회사 중 첫 번째로 엑스트라타의 회사연혁, 현재와 미래의 광산프로젝트, 생산량, 재무현황의 개요를 소개하였는데 이는 좋은 협력파트너를 모색하려는 한국 광산기업들에게 심각한 투자실수를 피하기 위해서다.

• 농촌계획
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• 제24권4호
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• pp.69-80
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• 2018

In this study, we typified the project for revitalizing the rural area through text analysis using news data, and analyzed the main direction and characteristics of the project. In order to examine the factors emphasized among the issues related to the revitalization of rural areas, we used news data related to 'tourism' and 'livelihood', which are the main keyword of the project to promote rural areas. In the analysis, text mining techniques were used. Topic modeling was conducted on LDA techniques for major projects in 'tourism' and 'livelihood' keyword. Based on this, this study typified the projects that are carried out for the activation of rural areas by topic. As a result of the analysis, it was fount that the topics included in the project were distributed in 11 sub-types(Tourism Promotion, Regional Specialization, Local Festival, Development of Regional Scale, Urban and Rural Exchange, Agricultural Support, Community Forest Management, Improve the Settlement Environment, General Welfare Service, Low Class Support, Others). The characteristics of the rural revitalization projects were examined, and it was confirmed that domestic projects were carried out by tourism-oriented projects. To summarize, the government is making projects to revitalize rural areas through related ministries. Within the structure where the project is spreading to the region, a lot of projects are being carried out. It is understood that the tourism and welfare oriented projects are being carried out in the revitalization project of the domestic rural area. Therefore, in order to achieve the goal of rural revitalization, it is believed that it will be effective to carry out a balanced project to improve the settlement environment of the residents.

• 정보과학회 논문지
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• 제42권4호
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• pp.468-474
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• 2015

기업은 프로젝트의 중요성을 인지하고 프로젝트의 실패요인을 찾아 위험을 미연에 방지하여 프로젝트의 성공율을 높이기 위해 노력해야 한다. 이것은 급변하는 외부의 변화에 신속히 대응하기 위해 필요하다. 선행연구에서도 이러한 프로젝트의 성공요인 및 실패요인에 대한 연구가 다양하게 수행되었으나, 대부분 설문조사와 샘플링 통계분석으로 연구가 수행되어 데이터의 객관성과 정량적 분석에 한계를 갖고 있었다. 따라서 본 연구에서는 프로젝트의 실패요인 분석을 객관적인 프로젝트의 평가보고서인 감리결과보고서에서 프로젝트의 문제를 발견하고 개선권고사항을 제시하는 부분의 텍스트를 도출하여 텍스트 마이닝을 수행하였다. 텍스트 마이닝에 적용한 알고리즘은 분류 성능이 우수한 NaiveBayes, SMO, J48 알고리즘이다. 실험은 10배 교차검증을 수행하였고 정확률과 재현율로 평가하였다. 도출된 텍스트에서 프로젝트의 실패요인을 분석하여 프로젝트 수행에 활용될 수 있도록 하였다.

• Asia pacific journal of information systems
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• 제29권4호
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• pp.615-643
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• 2019

Now is the time for IS scholars to demonstrate the added value of academic theory through its integration with text mining, clearly outline how to implement this for text mining experts outside of the academic field, and move towards establishing this integration as a standard practice. Therefore, in this study we develop a systematic theory-based text-mining framework (TTMF), and illustrate the use and benefits of TTMF by conducting a text-mining project in an actual business case evaluating and improving hotel service quality using a large volume of actual user-generated reviews. A total of 61,304 sentences extracted from actual customer reviews were successfully allocated to SERVQUAL dimensions, and the pragmatic validity of our model was tested by the OLS regression analysis results between the sentiment scores of each SERVQUAL dimension and customer satisfaction (star rates), and showed significant relationships. As a post-hoc analysis, the results of the co-occurrence analysis to define the root causes of positive and negative service quality perceptions and provide action plans to implement improvements were reported.

• 연구논문집
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• 통권34호
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• pp.1-10
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• 2004

Landfill Mining is becoming more widely used in many closed landfill sites in the world. Many of existing landfills will be excavated inevitably owing to building the clean environment with the new structures and developing the cities in cramped country. This paper aimed at the introducing the design technology of the trommel screen and its in-site applied performance of the trommel screen system through experiments , which system is under developing by one of the national project and the analysis results of influencing factors to the environment . The result of the theoretical estimation agrees well with the experimental data, so that the sorting system could be able to be applied with the requirements of the purpose of end-items. As a result of the analysis, any hazardous materials including heavy metals met the limitions of the criteria in this experiment. In geotechnical enngineering, it will. desireable to use the sorted soils mixing with another soils in accordance with the requirements of the usages.

• 터널과지하공간
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• 제27권6호
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• pp.393-405
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• 2017

광해발생에 대한 국민적 관심이 높아짐에 따라 한국광해관리공단에서는 광해방지 기본계획에 따른 광해 방지사업을 수행 중에 있다. 본 사례보고에서는 3단계 광해방지 기본계획의 지반침하 방지사업의 원활한 수행에 있어 참고자료로 활용할 수 있도록 광산지역에서 발생하는 지반침하를 방지하기 위한 지반침하방지사업 추진절차를 설명하고 설계 및 시공사례와 연구사례를 소개하였다.