• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.51-64
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• 2014

The purpose of operating the main homepage of University is to provide the related information about University resources to site visitors. In this study, we analyze website browsing patterns and extract characteristics of users in order to improve its utilization. The access log files to main homepage were used to analyze the browsing patterns and converted to process log files adaptable to a process mining tool, ProM. Finally we provide useful information about user friendly homepage design and suggest plans for improving its utilization to website operators.

• Journal of the Korea Safety Management & Science
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• v.9 no.3
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• pp.135-142
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• 2007

The authors used association rules and patterns in sequential of data mining in order to raise the efficiency of engineering changes. The association rule can reduce the number of engineering changes since it can estimate the parts to be changed. The patterns in sequential can perform engineering changes effectively by estimating the parts to be changed from sequence estimation. According to this result, unnecessary engineering changes are eliminated and the number of engineering changes decrease. This method can be used for improving design quality and productivity in company managing engineering changes and related information.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.2467-2470
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• 2002

사용자의 필요를 충족시켜 줄 수 있도록 사용자에 대한 연구가 인터넷 비즈니스에서 활발히 이루어지고 있다. 인터넷 비즈니스와 마찬가지로 컴퓨터 게임 산업 분야에서도 이러한 연구가 필요하다. 하지만 컴퓨터 게임의 특성상 기존의 인터넷 비즈니스 방식과 같은 방법으로는 게이머(Gamer)의 행동을 알기 어렵다. 이러한 문제점을 해결하고자 본 논문에서는 패킷 마이닝(Packet Mining)을 이용한 게이머의 행위 분석 시스템을 제안하고자 한다. 이 시스템은 게이머들과 시스템 사이에 전달된 패킷을 수집하여 프로토콜별 텍스트 형태로 저장하고, 일정 시간이 흐르면 텍스트 형태로 저장된 패킷을 데이터베이스로 생성한다. 게이머 행위 분석 시스템은 이렇게 생성된 데이터베이스를 분석하고, 다양한 정보를 추출해내어 게이머의 행위를 분석한다.

• The Journal of Society for e-Business Studies
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• v.7 no.1
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• pp.75-86
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• 2002

In this study, we proposed design issues and structure of a web mining system and develop a system for the purpose of knowledge integration under world wide web environments resulted from our developing experiences. The developed system consists of three main functions： 1) gathering documents utilizing a search agent; 2) determining similarity coefficients between any two documents from term frequencies; 3) clustering documents based on similarity coefficients. It is believed that the developed system can be utilized for discovery of knowledge in relatively narrow domains such as news classification, index term generation in knowledge management.

• Knowledge Management Research
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• v.19 no.1
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• pp.119-132
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• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• Geomechanics and Engineering
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• v.9 no.2
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• pp.195-205
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• 2015

Barricade failures generally occur at the early times of paste backfill when it is fresh in the stopes. The backfill strength increases and need for barricading pressure decreases as a result of the hydration reactions. In this study, paste backfill barricades of Cayeli copper mine were investigated to design cemented mineral processing plant tailings as barricade body concrete. Paste backfill in sub-level caving stopes of the mine needs to be barricaded for only four or five days. Therefore, short term strength and workability tests were applied on several cemented tailings material designs. Barricade failure mechanisms, important points of barricade designing and details of the new concrete material are explained in this work. According to the results obtained with this experimental study, the tailings were assessed to be used in concrete applied as temporary supports such as cemented paste backfill barricades.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.703-708
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• 2020

The momentum of e-commerce is growing stronger and now, the competition between e-commerce is becoming more and more fierce. In the competition of various e-commerce companies, how to effectively analyze and rationally use these data has become a key point. This paper will use data mining technology to filter out redundant data from large Web databases, extract data that is useful to us, and then analyze them from different perspectives to apply this data reasonably and effectively to our e-commerce website.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.11a
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• pp.307-314
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• 2000

정보기술이 발달하면서 자료의 흔적들이 체계화된 데이터베이스에 저장이 되고, 더불어 데이터베이스의 규모는 점점 커지고 있다. 데이터 마이닝은 이런 방대한 자료의 분석을 통해, 그 속에 숨어있는 의미를 찾는 과점이라고 될 수 있다. 본 논문에서는 대우정보시스템(주)서 개발된 사용자지향 데이터 마이닝 도구인 XM-Tool/Miner의 개발을 대상으로 하고 있다. 개발된 XM-Tool/Miner은 문제 중심적 마이닝 도구를 목표로 하였으며, 대표적인 마이닝 알고리즘을 적용하였고, 또한 사용의 편이성에 초점을 맞추었다. 더 나아가 데이터 마이닝 기법뿐만 아니라 데이터의 샘플링과 성능향상을 통하여 방대한 데이터로부터 다양한 지식탐사가 가능해지고, 발견된 규칙 또는 지식의 유용성 측정을 통하여 업무 분야의 특성에 따라 효과적으로 반영되며 의사 결정 및 CRM마케팅, 동향분석 및 예측 등에 유용한 정보를 추출하는 도구로 사용할 수 있을 것이다.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.183-190
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• 2019

In the era of the Fourth Industrial Revolution, digital transformation, which means changes in all industrial structures, politics, economics and society as well as IT technology, is an important issue. It is difficult to know which research topic is being studied because digital transformation is being studied in various fields. Convergence research is possible because a research topic is studied in various fields such as computer science area and Decision science area. However, it is difficult to know the specific research status of the research topic. In this study, eight research topics were derived using the topic modeling technique of text mining for abstract of academic literature and the trend of each topic was analyzed. We also proposed to create a Topic-Word Proportions Table in the LDA based Topic modeling process to predict the topic of new literature. The results of this study are expected to contribute to advanced convergence research on topic of digital transformation. It is expected that the literature related to each research topic will be grasped and contribute to the design of a new convergence research.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.208-211
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• 2013

인터넷의 발달과 온라인 음악서비스로 인해 많은 사람들이 손쉽게 원하는 곡들을 선택하여 청취할 수 있다. 수많은 곡들 중 자기가 선호하는 음악을 듣고 찾기엔 많은 시간이 필요할 뿐만 아니라 검색하기 위해 곡 제목이나 아티스트 및 연도에 관한 정보도 숙지해야 할 것이다. 또한 질의에 해당하는 키워드가 포함되는 리스트만 제공되는 기존 음악 다운 사이트의 환경을 개선하고자, 영국 헤리엇와트 대학 연구진의 결과를 토대로 한 성격유형을 매칭시켜 해당된 장르를 구하고 컨텐트 기반인 음색유사도를 통해 질의에 해당된 음악을 추천해 주는 시스템을 설계하고자 한다. 4Shared.com과 비교 분석하였고 누구나 아는 유명한 곡들보다 한번도 들어보지 못한 곡들을 추천함으로써 유용성에 대한 기대감을 높이고자 한다.