• English & American cultural studies
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• v.17 no.1
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• pp.81-106
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• 2017

Using recently emerging quantitative methods, this article provides a comparative study of the diachronic changes in the narrations of novel, history, and science from the early 18th-century to the 20th-century. To trace the narrative changes in different genres, this article discusses how text-mining methodology can be introduced in literary studies. We compared the traces of narrative in three genres—novel, history, and science—as a pilot study, with the three major grammatical elements of narrative: pronoun, subordinating conjunction, and action verbs in past tense. The results of data-mining show that the use of pronoun and action verb has increased in the genre of novel toward the $20^{th}$ century, while history and science has developed less story-like writing styles.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.3
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• pp.581-590
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• 2024

This study aims to extract key topics through text mining of incident records (incident history, post-incident measures, preventive measures) from construction safety accident case data available on the public data portal. It also seeks to provide fundamental insights contributing to the establishment of manuals for disaster prevention by identifying correlations between these topics. After pre-processing the input data, we used the LDA-based topic modeling technique to derive the main topics. Consequently, we obtained five topics related to incident history, and four topics each related to post-incident measures and preventive measures. Although no dominant patterns emerged from the topic pattern analysis, the study holds significance as it provides quantitative information on the follow-up actions related to the incident history, thereby suggesting practical implications for the establishment of a preventive decision-making system through the linkage between accident history and subsequent measures for reccurrence prevention.

• Journal for History of Mathematics
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• v.18 no.2
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• pp.95-106
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• 2005

This paper is investigated conception and methodology of data selection, cleaning, integration, transformation, reduction, selection and application of data mining techniques, and model evaluation during procedure of the knowledge discovery in database (KDD) based on Mathematics. Statistical role and methodology in KDD is studied as branch of Mathematics. Also, we investigate the history, mathematical background, important modeling techniques using statistics and information, practical applied field and entire examples of data mining. Also we study the differences between data mining and statistics.

• The Journal of the Petrological Society of Korea
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• v.18 no.4
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• pp.371-379
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• 2009

A famous foreign mining company in Argentina, Yamana Gold, its profile including company history, current and future mining projects, and production are introduced in this paper for the Korean mining companies those are sincerely looking for reliable collaborative partners to deliver the practical company informations.

• The Journal of the Petrological Society of Korea
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• v.18 no.3
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• pp.269-278
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• 2009

A famous foreign mining company in Argentina, Barrick Gold, its profile including company history, current and future mining projects, and production are introduced in this paper for the Korean mining companies those are sincerely looking for reliable collaborative partners to deliver the practical company informations.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.375-380
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• 2019

In this paper, we study learning process mining and analytic technology based on open education platform. A study on mining through personal learning history log data based on an open education platform such as MOOC which is growing in interest recently. This technology is to design and implement a learning process mining framework for discovering and analyzing meaningful learning processes and knowledge from learning history log data. Learning process mining framework technology is a technique for expressing, extracting, analyzing and visualizing the learning process to provide learners with improved learning processes and educational services.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.443-452
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• 2017

Architectural history traces the changes in architecture through various traditions, regions, overarching stylistic trends, and dates. This study identified terminologies related to the proximity and frequency in the architectural history areas by text mining and association analysis. This study explored terminologies by investigating articles published in the "Journal of Architectural History", a sole journal for the architectural history studies. First, key terminologies that appeared frequently were extracted from paper that had titles, keywords, and abstracts. Then, we analyzed some typical and specific key terminologies that appear frequently and partially depending on the research areas. Finally, association analysis was used to find the frequent patterns in the key terminologies. This research can be used as fundamental data for understanding issues and trends in areas on the architectural history.

• Korean journal of applied entomology
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• v.38 no.2
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• pp.81-84
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• 1999

A linden leaf-mining sawfly, Parna kamijoi Togashi, 1980, is newly reported from Korea. A brief description of the adult and adult and observations on its life history are given.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.597-599
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• 2003

Moving pattern is as a kind of sequential pattern, which can be extracted from the large volume of location history data. This sort of knowledge is very useful in supporting intelligence to the LBS or GIS. In this paper, we proposed the continuous moving pattern mining approach in LBS platform and LBS Miner. The location updates of moving objects affect the set of the rules maintained. In our approach, we use the validity thresholds that indicate the next time to invoke the incremental pattern mining. The mining system will play a major role in supporting the various LBS solutions.

• Tunnel and Underground Space
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• v.27 no.6
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• pp.366-376
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• 2017

In this paper, we investigated the subsidence possibility and countermeasures according to the current mining method through investigation of the subsidence condition in operation mine. Most of the metal mine were broken, investigating to subsidence pattern of the Sink-hole. Coal mines are becoming more and more deep, investigating to Trough type subsidence patterns in existing mining areas. History of nonmetallic mines have not been developed for over 30 years, but large and small ground deformation problems have been investigated. Mining also has ground subsidence functionality due to time dependence by relying more heavily on empirical methods than technical methods. Therefore, it is necessary to carry out the various researches on systematic development method and prevention of subsidence of nonmetallic mines.