• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.614-621
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• 2006

We have implemented a multiclassifier learning approach in a GA-based inductive learning environment that learns classification rules that are similar to rules used in PROSPECTOR. In the multiclassifier learning approach, a classification system is constructed with several classifiers that are obtained by running a GA-based learning system several times to improve the overall performance of a classification system. To implement the multiclassifier learning approach, we need a decision-making scheme that can draw a decision using multiple classifiers. In this paper, we introduce two decision-making schemes: one is based on combining posterior odds given by classifiers to each class and the other one is a voting scheme based on ranking assigned to each class by classifiers. We also present empirical results that evaluate the effect of the multiclassifier learning approach on the GA-based inductive teaming environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.258-264
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• 2015

This research suggests critical factors affecting success and failure of several commercial mobile operating systems from Palm OS appearing in to main mobile OSs appearing in 2013. For this, we analyses several mobile operating cases, elicit factors affecting success and failure of mobile OS, and conduct ID3 based inductive learning analyses based on elicited factors and values in case dataset. Through this, we draw rules in success and failure of mobile OS and suggest strategic implications for the commercial success of mobile OS in perspective of innovation and globalization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.3
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• pp.619-626
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• 2007

Constructive induction is a technique to draw useful attributes from given primitive attributes to classify given examples more efficiently. Useful attributes are obtained from given primitive attributes by applying appropriate operators to them. The paper proposes a constructive induction approach for a GA-based inductive learning environment that learns classification rules that ate similar to rules used in PROSPECTOR from given examples. The paper explains our constructive induction approach in details, centering on operators to combine primitive attributes and methods to evaluate the usefulness of derived attributes, and presents the results of various experiments performed to evaluate the effect of our constructive induction approach on the GA-based learning environment.

• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.11-15
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• 2022

한국은 전 세계에서 미국에 이어 두 번째로 인터넷 연결에 성공한 나라가 되었고 1990년대 후반에는 세계 최초로 초고속 인터넷이 도입, 개발되면서 많은 닷컴기업들이 등장하였다. 이렇게 인터넷을 기반으로 한 비즈니스들이 출현하고 '인터넷 혁명'이라 불릴 정도로 사회, 경제적 변화가 일어났으나, 인터넷 비즈니스 역사에 대한 연구는 매우 제한적이다. 본 연구는 인터넷 비즈니스의 역사에 대해 다양한 개별 기업의 역사연구를 수행한 후, 비교를 통해 설명 변수를 발견하고 이를 통해 이론을 발견하는 경영사적 연구접근 방법을 소개하고자 한다. 구체적으로 본 연구는 귀납적 접근방법을 기초로 1990년대 말, 2000년대 초의 이른바 창업자, 벤처 관련 인사들의 인터뷰 및 문헌연구를 진행하였다. 스타트업 역사 상 의미가 큰 기업으로 메디슨, 큐닉스, 새롬기술, 다음, 네이버, NC소프트, 넥슨에 대한 내용을 정리 중이다. 이 기업들은 공통적으로 새로운 기술 도입을 기회로 삼아 가치를 창출하여 사회를 바꾸려하는 기업가정신을 추구하고 있었다. 또한 인터넷 인프라를 기민하게 활용하였으며 1997년 말 외환위기로 인해 인재와 자금이 벤처로 이동한 환경적 변화가 성장의 기폭제가 되었다. 또한 코스닥을 통한 자금조달 등은 벤처기업들의 시장기회를 확대하고 성장에 기여를 하였으며 자율적이고 유연한 기업문화에 형성하며, 대학가에 창업 붐을 일으키기도 하였다. 제 2벤처붐이 도래한 이 시점에 벤처기업에 대한 귀납적 방법론을 활용한 경영사적 관점의 지속적 연구가 필요하다.

• Korean Journal of Cognitive Science
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• v.25 no.3
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• pp.233-257
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• 2014

Category-based induction is one of major inferential reasoning methods used by humans. This research tested the effect of perceived within-category variability on the inductive generalization. Experiment 1 manipulated variability by directly presenting category exemplars. After displaying low variable (low variability condition) or highly variable exemplars (high variability condition) depending on condition, participants performed inductive generalization task about a category in question. The results showed that participants have greater confidence in generalization when category variability was low than when it was high. Rather than directly presenting category exemplars in Experiment 2, participants performed induction task after they formed category variability impression by categorization task of identifying category exemplars. Experiment 2 also found the tendency that participants have greater inductive confidence when category variability was low. The variability effect discovered in this research is distinct from the diversity effect in previous research and the category-based induction model proposed by Osherson et al. (1990) cannot fully account for the variability effect in this research. Test of variability effect in category-based induction is discussed in the general discussion section.

• Journal of the Korean Applied Science and Technology
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• v.37 no.3
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• pp.526-542
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• 2020

The purpose of this study was to examine contents through inductive analytic method and make systematic improvement method on satisfaction & dissatisfaction of university students participating in stipulated PGA pro-golf competitions as volunteers. The objects of this study were university students participating in 2019 The CJ Cup@Nine Bridges as volunteers. Excluding 76 copies judged to be disloyal out of 300 collected copies, the researcher analyzed the contents of 224 copies. To begin with, the contents were categorized in 10 detailed areas & 5 general areas by implementing the 2nd inductive categoric analysis mainly on the basis of 408 raw materials, the overall detailed areas of satisfaction on participation. Checking specifically, first, "satisfaction on experience in golf competition" was divided into golf competition, golf information, golf course. Second, "satisfaction on player" was divided into direct watching and famous player. Third, "satisfaction on environment" was divided into satisfaction on place & satisfaction on facilities. Fourth, "satisfaction on participation" was divided into satisfaction on service & satisfaction on competence. Finally, "satisfaction on interpersonal relation" was divided with application same to that of detailed area. In the case of dissatisfaction on participation, the contents were categorized in 10 detailed areas & 3 general areas by implementing the 2nd inductive categoric analysis mainly on the basis of 369 raw materials, the overall detailed areas. Checking specifically, first, dissatisfaction on competition operating system was detailedly divided into dissatisfaction on job system, dissatisfaction on operating system, dissatisfaction on delivery system. Second, dissatisfaction on treatment for volunteers was divided into dissatisfaction on treatment for volunteers & dissatisfaction on work hours. Third, dissatisfaction on welfare for volunteers was divided into dissatisfaction on food & beverage, dissatisfaction on costumes and dissatisfaction on incidental facilities.

• The Science & Technology
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• no.3 s.442
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• pp.90-91
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• 2006

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.13 no.5
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• pp.6-19
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• 1995

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.54-56
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• 1999

웹 에이전트는 사용자가 웹을 브라우징하는 행위를 모니터하여 사용자의 관심정보를 학습하고 사용자가 필요로 한느 웹 상의 정보를 제공하는 시스템이다. 웹 에이전트는 사용자의 관심정보를 추출하기 위해서 귀납적 기계학습을 수행한다. 이때, 학습의 효율을 높이기 위해서는 관련이 있는 문서들을 그룹화하여 학습 시스템에 제공하여야 한다. 본 논문에서는 비감독 개념 학습 알고리즘인 COBWEB을 이용하여 사용자가 관심을 표시한 문서들의 분류트리를 생성한다. 분류트리는 귀납적 기계학습 시스템의 입력으로 사용될 수 있는 형태가 아니므로 분류 트리의 분석과 문서 분류 후처리 작업을 통해서 문서 집합을 생성해야 한다. 이를 위해서는 분류트리를 분석하여 초기 클러스터를 생성하고, 유사한 클러스터들의 병합을 수행한다. 본 논문에서 제안하는 문서 자동 분류 방식은 비감독 개념 학습 알고리즘이 생성한 문서 분류 트리의 분석을 통해서 충분한 유사도와 적절한 수의 문서를 포함하는 초기 클러스터를 생성할 수 있다. 그러므로 문서 분류의 후처리 작업인 클러스터의 병합 작업에서 불필요한 작업을 제거함으로서 보다 효과적이고 합리적인 문서 분류 작업을 수행한다.

• Journal of Educational Research in Mathematics
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• v.25 no.3
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• pp.461-472
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• 2015

Korean students are taught area formulas of parallelogram and triangle by inductive reasoning in current curriculum. Inductive thinking is a crucial goal in mathematics education. There are, however, many problems to understand area formula inductively. In this study, those problems are illuminated theoretically and investigated in the class of 5th graders. One way to teach area formulas is suggested by means of process of problem solving with transforming figures.