• 디지털콘텐츠학회 논문지
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• 제15권4호
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• pp.533-545
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• 2014

IT기술이 발전함에 따라, 우리가 접하는 데이터의 양은 기하급수적으로 늘어나고 있다. 이처럼 방대한 데이터들을 분석하고 관리하기 위한 기술로 등장한 것이 빅데이터 분산처리시스템이다. 기존 분산처리시스템에 대한 품질평가는 정형 데이터 중심의 환경을 바탕으로 이루어져 왔다. 그러므로, 이를 비정형 데이터 분석이 핵심인 빅데이터 분산처리시스템에 그대로 적용시킬 경우, 정확한 품질평가가 이루어질 수 없다. 따라서, 빅데이터 분석 환경을 고려한 분산처리시스템의 품질평가모델에 대한 연구가 필요하다. 본 논문에서는 소프트웨어 품질에 관한 국제 표준인 ISO/IEC9126에 근거하여 빅데이터 분산처리 시스템에서 요구되는 품질평가 요소를 도출하고, 이를 측정하기 위한 메트릭을 정의함으로써 새로이 품질평가모델을 제안한다.

• Journal of Information Technology Applications and Management
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• 제11권1호
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• pp.161-174
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• 2004

This study is intended to suggest1 the optimized data mining model for the efficient customer credit evaluation in the capital finance industry. To accomplish the research objective, various data mining models for the customer credit evaluation are compared and analyzed. Furthermore, existing models such as Multi-Layered Perceptrons, Multivariate Discrimination Analysis, Radial Basis Function, Decision Tree, and Logistic Regression are employed for analyzing the customer information in the capital finance market and the detailed data of capital financing transactions. Finally, the data from the integrated model utilizing a genetic algorithm is compared with those of each individual model mentioned above. The results reveals that the integrated model is superior to other existing models.

• Asia pacific journal of information systems
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• 제14권2호
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• pp.131-149
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• 2004

Collaborative filtering is one of popular techniques for personalized recommendation in e-commerce sites. An advantage of collaborative filtering is that the technique can work with sparse evaluation data to predict preference scores of new alternative contents or advertisements. There is, however, no in-depth study about the sparsity effect of customer's evaluation data to the performance of recommendation. In this study, we investigate the sparsity effect and hybrid usages of customers' evaluation data and purchase data using an experiment result. The result of the analysis shows that the performance of recommendation decreases monotonically as the sparsity increases, and also the hybrid usage of two different types of data; customers' evaluation data and purchase data helps to increase the performance of recommendation in sparsity situation.

• 한국빅데이터학회지
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• 제1권1호
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• pp.53-60
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• 2016

공공데이터 포털에 공개된 지자체 데이터와 공공기관 데이터를 자동으로 수집한 후, 공공 데이터의 개방현황 및 다양한 영역별 데이터 제공여부, 파일 형식 등 다양한 기준으로 다차원 분석하여 서비스 수준 평가를 제공하고자 한다. 이를 위해, 해외 평가지표 사례를 바탕으로 평가지표 내용을 설정한 후 이를 기준으로 데이터웨어하우스(DW)를 구축하였으며, 다차원 분석 기법을 사용한 서비스 수준평가 결과를 지역별로, 기관별로, 분야별로 시각화한다.

• 인터넷정보학회논문지
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• 제8권4호
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• pp.119-128
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• 2007

본 연구는 데이터 품질 평가란 관점에서 현재 진행되어지고 있는 국제 표준 ISO/IEC 25000시리즈인 SQuaRE(Software Quality Requirements and Evaluation) 프로젝트 중에서도 ISO/IEC 25012의 데이터 품질 평가 모델에 대한 연구이다. 데이터의 양이 많아지면서 사용자 관점에서는 정확한 데이터, 최신의 데이터, 사용하는 도구에 적합한 데이터, 보안성과 비 공개성을 준수할 수 있는 데이터를 원한다. 저 품질의 데이터가 비즈니스에 미치는 영향을 평가하여 실제적으로 적용할 수 있는 관점에서 데이터 품질 관리에 대한 것을 연구한다. 이러한 관점에서 데이터에 대한 품질을 평가할 수 있는 평가항목을 제시하고 제시된 평가항목의 평가 방안에 대해서 제시한다. 본 연구는 현재 진행되어지고 있는 ISO/IEC 25012의 표준문서와 소프트웨어 품질관리 표준문서 ISO/IEC 9126-2를 기초로 하여 연구되었으며 현재 진행되어지고 있는 소프트웨어 품질평가 모델 ISO/IEC 2500을 기반으로 하여 데이터 품질을 정량적으로 평가하는 방안을 제시한다.

• International Journal of Knowledge Content Development & Technology
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• 제9권2호
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• pp.65-89
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• 2019

This study has the aim of developing an evaluation index that can help evaluate the reliability of the information resources of institutions retaining humanities assets for the purposes of laying out the foundation for providing one-stop portal service for humanities assets. To this end, the evaluation index was derived through the analysis of previous research, case studies, and interviews with experts, the derived evaluation index was then applied to the humanities assets retaining institutions to verify the utility. The institutional information resources' reliability evaluation index consisted of the two dimensions of the institutions' own reliability evaluation index. The institution provided a service and system evaluation index. The institutions' own reliability evaluation index consisted of 25 points for institutional authority, 25 points for data collection and construction, 30 points for data provision, and 20 points for appropriateness of data, for a total of 100 points, respectively. The institution provided service and system evaluation indexes consisting of 25 points for information quality, 15 points for appropriateness (decency), 15 points for accessibility, 20 points for tangibility, 15 points for form, and 10 points for cooperation, for the total of 100 points, respectively. The derived evaluation index was used to evaluate the utility of 6 institutions representing humanities assets through application. Consequently, the reliability of the information resources retained by the Research Information Service System (RISS) of the Korea Education & Research Information Service (KERIS) turned out to be the highest.

• 한국의류학회지
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• 제40권6호
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• pp.1034-1044
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• 2016

This study seeks a method to objectively evaluate sensibility based on Big Data in the field of design. In order to do so, this study examined the sensibility responses on design factors for the public through a network analysis of texts displayed in social media. 'Hanbok', a formal clothing that represents Korea, was selected as the subject for the research methodology. We then collected 47,677 keywords related to Hanbok from 12,000 posts on Naver blogs from January $1^{st}$ to December $31^{st}$ 2015 and that analyzed using social matrix (a Big Data analysis software) rather than using previous survey methods. We also derived 56 key-words related to design elements and sensibility responses of Hanbok. Centrality analysis and CONCOR analysis were conducted using Ucinet6. The visualization of the network text analysis allowed the categorization of the main design factors of Hanbok with evaluation terms that mean positive, negative, and neutral sensibility responses. We also derived key evaluation factors for Hanbok as fitting, rationality, trend, and uniqueness. The evaluation terms extracted based on natural language processing technologies of atypical data have validity as a scale for evaluation and are expected to be suitable for utilization in an index for sensibility evaluation that supplements the limits of previous surveys and statistical analysis methods. The network text analysis method used in this study provides new guidelines for the use of Big Data involving sensibility evaluation methods in the field of design.

• Educational Technology International
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• 제12권2호
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• pp.47-70
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• 2011

The purpose of this paper was to develop evaluation procedures for blended instruction, focusing on the courses that are currently offered in the university. This study analyzed current evaluation procedures and instruments and suggested redesign the evaluation process for blended instruction. The evaluation procedures are designed based on the combination of objective-oriented and consumer-oriented evaluation approaches. It includes three stages: front-end (screening), formative evaluation, and summative evaluation. During the front-end evaluation stage, information regarding students' technology skills and attitudes towards online instruction and classroom instruction are suggested to collect and plan the instructional strategies accordingly. The formative evaluation is conducted during the semester to collect students' opinions about the course and instructors modify their instruction based on the evaluation results. At the end of semester, summative evaluation is to be conducted to collect the data to improve the course. Evaluation questions and components for each stage are developed to collect the data such as students' perceptions of the course, the usefulness of online instructional materials, the effectiveness of blended learning strategies, and students' satisfaction with the course.

• 한국도로학회논문집
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• 제17권6호
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• pp.27-32
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• 2015

PURPOSES : It is difficult to estimate tunnel stability because of lack of timely information during tunnel excavation. Tunnel deformability refers to the capacity of rock to strain under applied loads or unloads during tunnel excavation. This study was conducted to analyze a methods of pre-evaluation of stability during tunnel construction using the critical strain concept, which is applied to the results of tunnel settlement data and unconfined compression strength of intact rock or rock mass at the tunnel construction site. METHODS : Based on the critical strain concept, the pre-evaluation of stability of a tunnel was performed in the Daegu region, at a tunnel through andesite and granite rock. The critical strain concept is a method of predicting tunnel behavior from tunnel crown settlement data using the critical strain chart that is obtained from the relationship between strain and the unconfined compression strength of intact rock in a laboratory. RESULTS : In a pre-evaluation of stability of a tunnel, only actually measured crown settlement data is plotted on the lower position of the critical strain chart, to be compared with the total displacement of crown settlement, including precedent settlement and displacement data from before the settlement measurement. However, both cases show almost the same tunnel behavior. In an evaluation using rock mass instead of intact rock, the data for the rock mass strength is plotted on the lower portion of the critical strain chart, as a way to compare to the data for intact rock strength. CONCLUSIONS : From the results of the pre-evaluation of stability of the tunnel using the critical strain chart, we reaffirmed that it is possible to promptly evaluate the stability of a tunnel under construction. Moreover, this research shows that a safety evaluation using the actual instrumented crown settlement data with the unconfined compression strength of intact rock, rather than with the unconfined compression strength of a rock mass in the tunnel working face, is more conservative.

• 국제학술발표논문집
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• The 7th International Conference on Construction Engineering and Project Management Summit Forum on Sustainable Construction and Management
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• pp.301-312
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• 2017

Quality evaluation and control represent increasingly important concerns for construction quality management. There is an evident need for a standard data model to be used as the basis for computer-aided quality management. This study focuses on how to realize evaluation of construction quality based on BIM and database technology. In this paper, the reinforced concrete main structure is taken as an example, and the BP neural network evaluation model is established by inquiring current construction quality acceptance specification and evaluation standard. Furthermore, IFC standard is extended to integrate quality evaluation information and realize the mapping of evaluation information in BIM model, contributing to the visualization and transfer sharing of evaluation information. Furthermore, the conceptual entity model is designed to build quality evaluation database, and this paper select MySQL workbench system to achieve the establishment of the database. This study is organized to realize the requirement of visualization and data integration on construction quality evaluation which makes it more effective, convenient, intuitive, easy to find quality problems and provide more comprehensive and reliable data for the quality management of construction enterprises and official construction administratiors.