• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.115-123
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• 1999

산업계 전반에 걸친 오랜 정보시스템 운용의 결과로 대용량의 데이터들이 축적되고 있다. 이러한 데이터로부터 유용한 지식을 추출하기 위해 여러 가지 데이터 마이닝 기법들이 연구되어왔다. 특히 데이터 웨어하우스의 등장은 이러한 데이터 마이닝에 있어 필요한 데이터 제공 환경을 제공해 주고 있다. 그러나 전문가의 적절한 판단과 해석을 거치지 않은 데이터 마이닝의 결과는 당연한 사실이거나, 사실과 다른 가짜이거나 또는 관련성 없는(trivial, spurious and irrelevant)내용만 무수히 쏟아낼 수 있다. 그러므로 데이터 마이닝의 결과가 비록 통계적 유의성을 가진다 하더라도 그 정당성과 유용성에 대한 검증과정과 방법론의 정립이 필요하다. 데이터 마이닝의 가장 어려운 점은 귀납적 오류를 없애기 위해 사람이 직접 그 결과를 해석하고 판단하며 아울러 새로운 탐색 방향을 제시해야 한다는 것이다. 본 논문에서는 데이터 마이닝 기법 중 연관규칙탐사로 얻어진 결과를 설명가능성 여부의 판단을 통해 검증하는 기법을 제안하며, 이를 통해 얻어진 검증된 지식을 토대로 일반화를 통한 새로운 가설을 생성하여 데이터 웨어하우스로부터 연관규칙을 검증하는 일련의 아텍쳐(architecture)를 제시하고다 한다. 먼저 데이터 마이닝 결과에 대한 설명의 필요성을 제시하고, 데이터 웨어하우스와 데이터 마이닝 기법들에 대한 간략한 설명과 연관규칙탐사에 대한 정의 및 방법을 보이고, 대상 영역에 대한 데이터 웨어하우스으 스키마를 보였다. 다음으로 도메인 지식(domain knowledge)과 연관규칙탐사를 통해 얻어진 결과를 표현하기위한 지식표현 방법으로 Relational Predicate Logic을 제안하였다. 연관규칙탐사로 얻어진 결과를 설명하기 위한 방법으로는 연관규칙탐사로 얻어진 연관규칙에 대해 Relational Predicate Logic으로 표현된 도메인 지식으로서 설명됨을 보이게 한다. 또한 이러한 설명(explanation)을 토대로 검증된 지식을 일반화하여 새로운 가설을 연역적으로 생성하고 이를 연관규칙탐사를 통해 검증한 후 새로운 지식을 얻는 반복적인 Explanation-based Data Mining Architecture를 제시하였다. 본 연구의 의의로는 데이터 마이닝을 통한 귀납적 지식생성에 있어 귀납적 오류의 발생을 도메인 지식을 통해 설명가능 함을 보임으로 검증하고 아울러 이러한 설명을 통해 연역적으로 새로운 가설지식을 생성시켜 이를 가설검증방식으로 검증함으로써 귀납적 접근과 연역적 접근의 통합 데이터 마이닝 접근을 제시하였다는데 있다.

• School Mathematics
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• v.15 no.4
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• pp.667-682
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• 2013

Though teachers' lesson plays, this article analysed teachers' knowledge for mathematical teaching about mathematical definitions and their pedagogical difficulties in teaching defining. Although the participant teachers didn't transmit definitions to students and suggested possible definitions of the given geometric figure in their imaginary lessons, they didn't teach defining as deductive organization of properties of the geometric figure. They considered mathematical definition as a mere linguistic convention of a word, so they couldn't appreciate the necessity of deductive organization in teaching definitions, and the arbitrary nature of mathematical definitions. Therefore, for learning to teach definitions differently, it is necessary for teachers to reflect the gap between the everyday and mathematical definitions in teachers'education.

• Cartoon and Animation Studies
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• s.9
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• pp.18-32
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• 2005

Comic has a story. Comic exits as a some kind of media to convey the story the writer wants to say and it not only is a message described by sign, content, and complexity but also works in more vast communication condition. This Study treats that the rhetoric expression of 4 panels comicstrip in internal and external weigh with the narration of story. If the rhetoric is the sort out of the words, in the rhetoric of 4 panels comicstrip, the target is how easy to read, how interesting to read. Here are the analysis of the narrative structure in daily life and current affair 4 Panel Comic Strips. To analyze and compare the narrative structure of two above strips proposes actual model of basic skill making 4 Panel and further will be applied in the narrative structure of long comics. The study of explaining the feature of 4 Panel Comic Strips is proposed, based on the basic act in all comics. The narrative structure of the 4 Panel Comic strips Comic Strips has the basic structure of long serialized comics and story telling.

• Journal of Educational Research in Mathematics
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• v.24 no.1
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• pp.1-27
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• 2014

In the present study, we analyze the four participating 9th grade students' mathematical reasoning processes in their dragging activities while solving open-ended geometry problems in terms of abduction, induction and deduction. The results of the analysis are as follows. First, the students utilized 'abduction' to adopt their hypotheses, 'induction' to generalize them by examining various cases and 'deduction' to provide warrants for the hypotheses. Secondly, in the abduction process, 'wandering dragging' and 'guided dragging' seemed to help the students formulate their hypotheses, and in the induction process, 'dragging test' was mainly used to confirm the hypotheses. Despite of the emerging mathematical reasoning via their dragging activities, several difficulties were identified in their solving processes such as misunderstanding shapes as fixed figures, not easily recognizing the concept of dependency or path, not smoothly proceeding from probabilistic reasoning to deduction, and trapping into circular logic.

• School Mathematics
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• v.6 no.3
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• pp.283-299
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• 2004

It is a very important objective of mathematical education to lead students to apply mathematics to the problem situations and to solve the problems. Assuming that mathematical modeling is appropriate for such mathematical education objectives, we must emphasize mathematical modeling learning. In this research, we focused what mathematical concepts are learned and what reasoning are applied and used through mathematical modeling. In the process of mathematical modeling, the students used several types of reasoning; deduction, induction and abduction. Although we cannot generalize a fact by a single case study, deduction has been used to confirm whether their model is correct to the real situation and to find solutions by leading mathematical conclusion and induction to experimentally verify whether their model is correct. And abduction has been used to abstract a mathematical model from a real model, to provide interpretation to existing a practical ground for mathematical results, and elicit new mathematical model by modifying a present model.

• The KIPS Transactions:PartC
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• v.10C no.6
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• pp.717-726
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• 2003

In this paper, we analyze the associated rule based deductive algorithm which creates the rules automatically for intrusion detection from the vast packet data. Based on the result, we also suggest the deductive algorithm which creates the rules of intrusion pattern fast in order to apply the intrusion detection systems. The deductive algorithm proposed is designed suitable to the concept of clustering which classifies and deletes the large data. This algorithm has direct relation with the method of pattern generation and analyzing module of the intrusion detection system. This can also extend the appication range and increase the detection speed of exiting intrusion detection system as the rule database is constructed for the pattern management of the intrusion detection system. The proposed pattern generation technique of the deductive algorithm is used to the algorithm is used to the algorithm which can be changed by the supporting rate of the data created from the intrusion detection system. Fanally, we analyze the possibility of the speed improvement of the rule generation with the algorithm simulation.

• Journal of Korean Philosophical Society
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• v.123
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• pp.245-279
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• 2012

Hans Kelsen, one of prominent advocators of legal positivism, insisted that every theory of natural law try to show that it is possible to deduce from the nature, that is to say from the nature of man certain rules which provide an altogether adequate prescription for human behavior. But it is impossible to deduce from the nature certain ethical rules. The purpose of this study is to show his insistence false. Firstly, He is based on false assumption that 'nature' in theory of nature law is 'nature' in natural science. Secondary, He is based on false assumption that the entire systems of natural law are deduced from only one first natural law. Thirdly, He makes logical fallacies, that is, straw man, false dichotomy and so on. Fourthly, in spite of his critique of every theory of natural theory, this study tries to certify that theories of natural law of I. Kant and J. Maritain and so on are very excellent.

• Journal of The Korean Association For Science Education
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• v.27 no.3
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• pp.169-179
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• 2007

We investigated the effects of hypothetical deductive experiment on students' views about the nature of science (NOS). Participants were 212 eighth graders from a middle school and they were assigned to a control group and an experimental group. Students of the control group did guided experiment in small group and students of the experimental group did hypothetical deductive experiment in small group. The results revealed that both students of the control group and the experimental group possessed similar views about NOS in a pretest. But the experimental group exhibited more sophisticated views about the theory of dependance of observation, scientific reasoning and hypothesis in the posttest. Students who used mainly surface learning strategy within the experimental group exhibited more sophisticated views about hypothesis in the posttest. On the other hand, students who used mainly deep learning strategy within the experimental group exhibited more sophisticated views about the theory of dependance of observation, scientific reasoning and hypothesis in the posttest.

• Journal of The Korean Association For Science Education
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• v.24 no.3
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• pp.556-564
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• 2004

Two biology modules were developed previously for the purpose of improving creativity and scientific thinking of secondary school students. A hypothetical-deductive experimental procedure was reflected in the module when students themselves can perform a series of activities of making hypothesis and designing an experiment to solve the questions. They followed a series of scientific processes to determine some characteristics regarding plant pigments and the transport process of materials in living organisms. Four classes of 9th graders in'S' Science High School were divided into the experimental and the control group. The same contents of the modules were taught to the control group by the traditional experimental way. The students' creativity, scientific thinking, scientific inquiry skill and knowledge achievement were examined before and after the interventions. As results, the experimental groups showed more significant improvement on the areas of the students' creativity, scientific thinking, scientific inquiry skill and achievement than the control groups. Results indicated that the specially designed modules in terms of hypothetical-deductive experimental procedure were effective to improve science high school students' creativity and scientific thinking abilities.

• Journal of Korean Elementary Science Education
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• v.42 no.1
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• pp.109-126
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• 2023

In this study, I took the evidence-explanation (E-E) continuum perspective to examine the epistemological implications of scientific reasoning cases designed by preservice elementary teachers during their simulation teaching. The participants were four preservice teachers who conducted simulation instruction on the seasons and high/low air pressure and wind. The selected discourse episodes, which included cases of inductive, deductive, or abductive reasoning, were analyzed for their epistemological implications-specifically, the role played by the reasoning cases in the E-E continuum. The two preservice teachers conducting seasons classes used hypothetical-deductive reasoning when they identified evidence by comparing student-group data and tested a hypothesis by comparing the evidence with the hypothetical statement. However, they did not adopt explicit reasoning for creating the hypothesis or constructing a model from the evidence. The two preservice teachers conducting air pressure and wind classes applied inductive reasoning to find evidence by summarizing the student-group data and adopted linear logic-structured deductive reasoning to construct the final explanation. In teaching similar topics, the preservice teachers showed similar epistemic processes in their scientific reasoning cases. However, the epistemological implications of the instruction were not similar in terms of the E-E continuum. In addition, except in one case, the teachers were neither good at abductive reasoning for creating a hypothesis or an explanatory model, nor good at using reasoning to construct a model from the evidence. The E-E continuum helps in examining the epistemological implications of scientific reasoning and can be an alternative way of transmitting scientific reasoning.