• Proceedings of the KIEE Conference
• /
• 2008.07a
• /
• pp.1879-1880
• /
• 2008

시간 데이터마이닝은 기존 데이터마이닝에 시간 개념을 추가하여 시간 속성을 가진 데이터로부터 이전에 잘 알려지지는 않았지만 묵시적이고 잠재적으로 유용한 시간 지식을 탐사하는 기술이다. 이 논문에서는 시간 속성을 가진 변압기 부하 패턴에 대해 시간의 변화에 따른 적용 시점이 명확한 지식 탐사가 가능하고, 향후 부하 예측에 있어 탐사된 규칙과 시간 지식을 이용함으로써 기존의 정적인 분류규칙을 적용한 방법보다 더 정확한 예측을 할 수 있는 새로운 시간 패턴 마이닝 기법을 제안한다.

• Journal of the Korean Institute of Educational Facilities
• /
• v.19 no.5
• /
• pp.37-43
• /
• 2012

Results of experiments conducted in university-based design studio suggests that Building information Modeling invites the adoption of a dramatically different design process, traditional design process and BIM-aided design process. Experiment method is used the actual experiment by students. In contrast to traditional design process rooted in successive refinement of abstractions and dependence on tacit knowledge, the studio BIM-aided design process depends on a complete and comprehensive date base and alterative solutions by complete analysis for helping choice of finial result. BIM viewed as provocateur of design education provides great potential for the critical analysis of how architectural design is taught. The results reflect new ways of teaching and addressing BIM methods and process in the design studio project.

• Journal of KIISE:Databases
• /
• v.32 no.6
• /
• pp.567-584
• /
• 2005

Temporal data mining, the incorporation of temporal semantics to existing data mining techniques, refers to a set of techniques for discovering implicit and useful temporal knowledge from temporal data. Association rules and classification are applied to various applications which are the typical data mining problems. However, these approaches do not consider temporal attribute and have been pursued for discovering knowledge from static data although a large proportion of data contains temporal dimension. Also, data mining researches from temporal data treat problems for discovering knowledge from data stamped with time point and adding time constraint. Therefore, these do not consider temporal semantics and temporal relationships containing data. This paper suggests that temporal associative classification technique based on temporal class association rules. This temporal classification applies rules discovered by temporal class association rules which extends existing associative classification by containing temporal dimension for generating temporal classification rules. Therefore, this technique can discover more useful knowledge in compared with typical classification techniques.

• The KIPS Transactions:PartD
• /
• v.9D no.3
• /
• pp.365-380
• /
• 2002

Temporal data mining, the incorporation of temporal semantics to existing data mining techniques, refers to a set of techniques for discovering implicit and useful temporal knowledge from large quantities of temporal data. Temporal knowledge, expressible in the form of rules, is knowledge with temporal semantics and relationships, such as cyclic pattern, calendric pattern, trends, etc. There are many examples of temporal data, including patient histories, purchaser histories, and web log that it can discover useful temporal knowledge from. Many studies on data mining have been pursued and some of them have involved issues of temporal data mining for discovering temporal knowledge from temporal data, such as sequential pattern, similar time sequence, cyclic and temporal association rules, etc. However, all of the works treated data in database at best as data series in chronological order and did not consider temporal semantics and temporal relationships containing data. In order to solve this problem, we propose a theoretical framework for temporal data mining. This paper surveys the work to date and explores the issues involved in temporal data mining. We then define a model for temporal data mining and suggest SQL-like mining language with ability to express the task of temporal mining and show architecture of temporal mining system.

• Annual Conference on Human and Language Technology
• /
• 1996.10a
• /
• pp.196-199
• /
• 1996

데이터베이스 사용자는 데이터베이스내에서 데이터를 검색하는 메카니즘과 원하는 데이터를 검색하기 위한 구체적인 질의 형태, 데이터베이스의 설계 과정에서 고려된 많은 묵시적인 의미 정보들을 인식하고 있어야 한다. 만일, 이들에 대한 정확한 인식이 이루어지지 않은채 요구된 질의는 잘못된 결과를 생성하게 된다. 데이터베이스에 대한 자연 언어 인터페이스는 이러한 세부 지식을 가지고 있지 않는 사용자에게 용이한 질의 환경을 제공해준다. 이를 위해 여러 자연 언어 인터페이스 시스템들이 개발되었다. 그러나 이 시스템들은 데이터베이스가 가지는 의미적 표현에 대한 구조적 제약성을 해소하지 못하였기 때문에 이 제약들이 사용자에게 그대로 남겨지고 있다는 문제점이 있다. 이러한 문제점은 근본적으로 자연언어와 데이터베이스의 시멘틱 모델간의 의미의 표현 레벨의 차이로 기인한다고 볼 수 있다. 본 논문은 이런 불일치 문제의 해결 방안으로 관계 데이터베이스내의 중요한 특성들을 구분하고, 이것을 표현할 수 있는 향상된 데이터베이스 시멘틱 모델에 대해 설명한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.8 no.1
• /
• pp.53-62
• /
• 2008

Cross-lingual text retrieval(CLTR) is the information retrieval in which a user tries to search a set of documents written in one language for a query another language. This thesis proposes a CLTR system based on fuzzy multilingual thesaurus to handle a partial matching between terms of two different languages. The proposed CLTR system uses a fuzzy term matrix defined in our thesis to perform the information retrieval effectively. In the defined fuzzy term matrix, all relation degrees between terms are inferred from using the transitive closure algorithm to reflect all implicit links between terms into processing of the information retrieval. With this framework, the CLTR system proposed in our thesis enhances the retrieval effectiveness because it is able to emulate a human expert's decision making well in CLTR.

• Journal of the Korean association of regional geographers
• /
• v.12 no.3
• /
• pp.392-407
• /
• 2006

This paper was written on the purpose of examining and analyzing Sungho's view of geography in 'Cheonjimun(天地門)', a part of 'Sunghosaseol(星湖僿說)'. Sungho is not a geographer who specialized in geography, His view is neither structural in methodological approach nor profound in geographical thought. Unfortunately, he looks to be possessed by geomantic thought(風水地理思想) in explaining geographical features and native customs. And he focused and emphasized only on defensive function in place location. As a whole, however, he had a good grasp of and analyzed about geographical topics which are related to human life and we must take interest in. Therefore, in his view, there is a love for country and hometown. Especially, it has to be highly appreciated that he tried to explain his view in analytical and practical perspective with an unspoken advice which things necessary for human life have to be used to available knowledge.

• (The) Korean Journal of Educational Psychology
• /
• v.32 no.3
• /
• pp.421-442
• /
• 2018

This study aimed to explore the constructs of the characteristics of at-risk learners with diverse educational needs in the blind spots of education, in order to understand them comprehensively and detect them early in schools. Participants were 156 elementary, middle, and high school teachers who filled out a semi-structured questionnaire consisting of open questions about their implicit knowledge of the characteristics of at-risk learners in the blind spots of education. Qualitative data were analyzed using a modified consensual qualitative research method. The main findings of this study are as follows. First, five domains and 16 categories were derived as the main constructs of the characteristics of learners in the blind spots of education. Second, the most listed of the five domains was the "domain of low learning and cognition," whereas the least listed domain was the "everyday life domain." Finally, deficiencies of interpersonal skills and interactive communications and categories related to family structure and functions frequently appeared among the 16 categories. Based on these results, implications and potentials for follow-up studies were further discussed.