• Title/Summary/Keyword: Classification Theory

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A New Decision Tree Algorithm Based on Rough Set and Entity Relationship (러프셋 이론과 개체 관계 비교를 통한 의사결정나무 구성)

  • Han, Sang-Wook;Kim, Jae-Yearn
    • Journal of Korean Institute of Industrial Engineers
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    • v.33 no.2
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    • pp.183-190
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    • 2007
  • We present a new decision tree classification algorithm using rough set theory that can induce classification rules, the construction of which is based on core attributes and relationship between objects. Although decision trees have been widely used in machine learning and artificial intelligence, little research has focused on improving classification quality. We propose a new decision tree construction algorithm that can be simplified and provides an improved classification quality. We also compare the new algorithm with the ID3 algorithm in terms of the number of rules.

A Modified Domain Deformation Theory for Signal Classification (함수의 정의역 변형에 의한 신호간의 거리 측정 방법)

  • Kim, Sung-Soo
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.3
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    • pp.342-349
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    • 1999
  • The metric defined on the domain deformation space better measures the similarity between bounded and continuous signals for the purpose of classification via the metric distances between signals. In this paper, a modified domain deformation theory is introduced for one-dimensional signal classification. A new metric defined on a modified domain deformation for measuring the distance between signals is employed. By introducing a newly defined metric space via the newly defined Integra-Normalizer, the assumption that domain deformation is applicable only to continuous signals is removed such that any kind of integrable signal can be classified. The metric on the modified domain deformation has an advantage over the $L^2$ metric as well as the previously introduced domain deformation does.

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Developing History of Theory on Ten Kinds of Prescriptions ('십제'설('十劑'說)의 변화·발전 과정)

  • Jo, Hak-Jun
    • Journal of Korean Medical classics
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    • v.26 no.4
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    • pp.223-235
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    • 2013
  • Objective : This study is about how the theory on ten kinds of prescriptions has been developed and how it has been applied for in prescription books and clinical texts. Methods : I made a comparison of this theory in prescriptions books and clinical texts. After it, I investigated the developing history based on it. Results and Conclusion : This theory had been used for classification of not prescription but herb, until Cho Gil(趙佶) and Seong Mugi(成無已) enlarged its meanings. The first mention about it was made by Jin Janggi(陳藏器). Yu Wanso(劉完素) gave it more definite meanings by showing prescription examples than before. Jang Jahwa(張子和) corrected what Yu Wanso explained. Besides, someone for example, Gu Jongseok(寇宗奭), Mok Huiong(繆希雍), Seo Chunbo(徐春甫), and so on added some kinds of prescription.

A Theory of Public Knowledge

  • Miksa, Shawne D.;McLain, Chinami
    • Journal of Information Science Theory and Practice
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    • v.7 no.2
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    • pp.54-64
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    • 2019
  • A theory of public knowledge is offered for the purposes of defining more clearly its role in information systems and classification schemas. Public knowledge is knowledge intended to be available for use in a public system. It is knowledge accessible to the public or knowledge in the public arena as opposed to the other seemingly multitudinous ways to describe knowledge. Furthermore, there are many different public arenas or small worlds. Public knowledge, irrespective of these different arenas, has four important overlying characteristics: It is consensual, it does not imply complete truth or certainty, it is autonomous, and it has a constant renewal of old knowledge with new knowledge. Each of these attributes has been culled from a study of the works of Patrick Wilson, Karl Popper, and John Ziman.

Features, Functions and Components of a Library Classification System in the LIS tradition for the e-Environment

  • Satija, M.P.;Martinez-Avila, Daniel
    • Journal of Information Science Theory and Practice
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    • v.3 no.4
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    • pp.62-77
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    • 2015
  • This paper describes qualities of a library classification system that are commonly discussed in the LIS tradition and literature, and explains such a system’s three main functions, namely knowledge mapping, information retrieval, and shelf arrangement. In this vein, the paper states the functional requirements of bibliographic classifications, which broadly are subject collocation and facilitation of browsing the collection. It explains with details the components of a library classification system and their functions. The major components are schedules, notations, and index. It also states their distinguished features, such as generalia class, form divisions, book numbers, and devices for number synthesis which are not required in a knowledge classification. It illustrates with examples from the WebDewey good examples of added features of an online library classification system. It emphasizes that institutional backup and a revision machinery are essential for a classification to survive and remain relevant in the print and e-environment.

An Empirical Study on the Land Cover Classification Method using IKONOS Image (IKONOS 영상의 토지피복분류 방법에 관한 실증 연구)

  • Sakong, Hosang;Im, Jungho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.6 no.3
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    • pp.107-116
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    • 2003
  • This study investigated how appropriate the classification methods based on conventional spectral characteristics are for high resolution imagery. A supervised classification mixing parametric and non-parametric rules, a method in which fuzzy theory is applied to such classification, and an unsupervised method were performed and compared to each other for accuracy. In addition, comparing the result screen-digitized through interpretation to the classification result using spectral characteristics, this study analyzed the conformity of both methods. Although the supervised classification to which fuzzy theory was applied showed the best performance, the application of conventional classification techniques to high resolution imagery had some limitations due to there being too much information unnecessary to classification, shadows, and a lack of spectral information. Consequently, more advanced techniques including integration with other advanced remote sensing technologies, such as lidar, and application of filtering or template techniques, are required to classify land cover/use or to extract useful information from high resolution imagery.

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A Study on Principle and Theory of Main Classes in the Library Classification (문헌분류법에서의 주류설정의 원리)

  • Nam, Tae-Woo
    • Journal of the Korean Society for Library and Information Science
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    • v.40 no.4
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    • pp.333-366
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    • 2006
  • The purpose of this study is principle and theory of main class in a Library Classification. According to Sayers, 'The foundation of the library is the book; the foundation of librarianship is classification.' We looked at the between scientific and bibliographic classification, and at the fact that bibliographic scheme is usually an aspect classification. That is to say, the organization of topics is based on areas or activity and the first division of the scheme is into disciplines or subject domains. This first division of classification creates what are called main class. The sequence of main classes is also important. A rough definition of a amin class is that it corresponds to a sin91e notational character. Main classes usually equivalent to traditional disciplines. What constitutes a main class will vary from one classification to another. The order in which the main classes are listed is often discussed at the theoretical level, and some orders are considered to be better than others.

A study on the Yoon Gil-Young's theory of classification in the "syndrome differentiation" (윤길영(尹吉榮)의 병증(病證) 대분류에 대한 고찰)

  • Kim, Gyeong Cheol;Lee, Jeong Won
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.19 no.1
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    • pp.55-63
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    • 2015
  • Objectives In order to the review of the Yoon Gil-Young's theory on the "differentiation of syndromes", we studied on the his method and system of classification on the "differentiation of syndromes". Methods We reviewed on "The Clinical Formula Science Traditional Korean Medicine 東醫臨床方劑學", "A study on the Methodology of Traditional Korean Medicine 東醫學의 方法論硏究" "The theory of SaSang Constitution Medicine 四象體質醫學論". From a connected standpoint with the basic theory and clinical medicine, considered on the Yoon Gil-Young's theory of "differentiation of syndromes". Results Yoon Gil-Young's theory of differentiation of syndromes and treatment was widespread so much that he studied on the learning field of Traditional Korean Mediciine and ingenious as well. The main principles of differentiation of syndromes was summarized the three representative syndrome-complexes; BON-HER(original deficiency syndrome), BON-HAN(orginal cold excess syndrome), BON-YEOL(original heat excess syndrome). And also the three representative syndrome-complexes was previously carried out the details of differentiation of syndromes and assigned represent prescription one by one. Conclusions As the results, Yoon Gil-Young insisted the system of differentiation of syndromes closely connecting with Traditional Korean Medical physiology, pathology, diagnosis and prescriptions. And therefore he was a frontier of the field of Traditional Korean Medicine.

Study of Toxicity Presence Classification about Herbal Diet in Tang-aec-pyeon of Dong-ui-bo-gam (동의보감 탕액편에 기재된 식이본초의 독성유무에 대한 분류 연구)

  • Shin, Ho-Dong;Jeong, Jong-Un
    • The Journal of Korean Medicine
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    • v.32 no.1
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    • pp.12-35
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    • 2011
  • Objectives: The two criteria to clarify the toxicity of a herbal diet are well known. Although mechanical analysis of effective ingredients, a western approach, is widely used, the toxicity presence classification through the herbal analysis from a viewpoint of a theory of the herbal medicine properties has been disregarded. This study is for the safe use of a herbal diet through classification and study of toxicity presence in the herbal diet from the view of a theory of herbal medicine properties, one of the methods of Oriental Medicine. Methods: We classified and studied the toxicity presence in four kinds of herbal diets, waters and grains, animals groups, fruits and vegetables, and herbs and trees, excluding mineral natural drugs, of 1,400 kinds of medicines in 16 chapters of Tang-aec-pyeon, Dong-ui-bo-gam, for which the herbal analysis from a viewpoint of the theory of the herbal medicine properties has been used. The criteria of the toxicity presence in the herbal diet have been largely classified into the toxicant and the non-toxicant, and the toxicant is in turn classified into the insignificant, the medium and the significant. The category to clarify herbal diet has been limited to simultaneous utilization of food and natural drugs. The main text is Dong-ui-bo-gam, although diverse other references have also been used. Results: There are toxicant diets: a kind of tortoise meat of animals groups; five kinds of grains part in fruits and vegetables: aengdo, peach, oyat, small apple and gingko nut; and 12 kinds of vegetables part in fruits and vegetables: ginger, oriental cabbage, lettuce, chongbaek, onion, garlic, leek, fern, houttuynia cordata (myeol), pyeongji, geundae, and spinach, which should be prohibited from long-term use both as food and medicine. Conclusion: If herbal diet is used as health food supplements or food, the toxicity presence should be considered on the grounds of an Oriental Medicine theory of the herbal medicine properties.

Classification of Multi Spectral Image Data using Rough Sets (러프 집합을 이용한 다중 분광 이미지 데이터의 분류)

  • 원성현;이병성;정환묵
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.11a
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    • pp.205-208
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    • 1997
  • Traditionally, classification of remote sensed image data is one of the important works for image data analysis procedure. So, many researchers devote their endeavor to increasing accuracy of analysis, also, many classification algorithms have been proposed. In this paper, we propose new classification method for remote sensed image data that use rough set theory. Using indiscernibility relation of rough sets, we show that can classify image data very easily.

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