• Title/Summary/Keyword: Classification 분석

Search Result 6,791, Processing Time 0.042 seconds

An Analysis of the Application Framework of the Business Reference Model to Records Classification Schemes in Korean Central Government Agencies (기록분류를 위한 정부기능분류체계의 적용 구조 및 운용 분석 - 중앙행정기관을 중심으로 -)

  • Seol, Moon-Won
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.24 no.4
    • /
    • pp.23-51
    • /
    • 2013
  • The purpose of the study is to examine the potentialities and limits of Business Reference Model (BRM) as records classification schemes in Korean central state institutions. The analysis is based on the data collected through focus group interviews of three times, in which six records professionals from central government agencies participate. This paper begins with inquiring the framework of records classification based BRM, required by Public Records Management Act. It explores the types of benefit of BRM application to government records classification. Based on the collected data from the interviews, it investigates how records are aggregated, and how transaction level (Danwi-Gwaje) of BRM is applied in the course of records aggregation.

Log-polar Sampling based Voxel Classification for Pulmonary Nodule Detection in Lung CT scans (흉부 CT 영상에서 폐 결절 검출을 위한 Log-polar Sampling기반 Voxel Classification 방법)

  • Choi, Wook-Jin;Choi, Tae-Sun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.6 no.1
    • /
    • pp.37-44
    • /
    • 2013
  • In this paper, we propose the pulmonary nodule detection system based on voxel classification. The proposed system consists of three main steps. In the first step, we segment lung volume. In the second step, the lung structures are initially segmented. In the last step, we classify the nodules using voxel classification. To describe characteristics of each voxel, we extract the log-polar sampling based features. Support Vector Machine is applied to the extracted features to classify into nodules and non-nodules.

A Study on the Notes Analysis of KDC 5th Edition (KDC 제5판의 주기분석에 관한 연구)

  • Chung, Ok-Kyung
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.22 no.3
    • /
    • pp.207-228
    • /
    • 2011
  • The notes of the classification system are to improve the accuracy and consistency of classification by providing useful information on classification numbers and items. Even though, several notes are used in KDC, they are not enough to keep up with rapidly developing and expanding knowledge of nowadays. The purpose of this study is to suggest appropriate types and improvements of the notes in KDC 5th edition. In order to achieve these purposes, transition of notes in KDC was analyzed. Notes of DDC 23rd edition, NDC new 9th edition, and KDC 5th edition were also analyzed. Based upon these comparison and analysis, problem and improvement of notes in KDC were suggested.

Rhythm Classification of ECG Signal by Rule and SVM Based Algorithm (규칙 및 SVM 기반 알고리즘에 의한 심전도 신호의 리듬 분류)

  • Kim, Sung-Oan;Kim, Dae-Hwan
    • Journal of the Korea Society of Computer and Information
    • /
    • v.18 no.9
    • /
    • pp.43-51
    • /
    • 2013
  • Classification result by comprehensive analysis of rhythm section and heartbeat unit makes a reliable diagnosis of heart disease possible. In this paper, based on feature-points of ECG signals, rhythm analysis for constant section and heartbeat unit is conducted using rule-based classification and SVM-based classification respectively. Rhythm types are classified using a rule base deduced from clinical materials for features of rhythm section in rule-based classification, and monotonic rhythm or major abnormality heartbeats are classified using multiple SVMs trained previously for features of heartbeat unit in SVM-based classification. Experimental results for the MIT-BIH arrhythmia database show classification ratios of 68.52% by rule-based method alone and 87.04% by fusion method of rule-based and SVM-based for 11 rhythm types. The proposed fusion method is improved by about 19% through misclassification improvement for monotonic and arrangement rhythms by SVM-based method.

A Study on Classification System for using internet information resources on Interior Design (인테리어 디자인 분야 인터넷 정보 자원 활용을 위한 분류체계 연구)

  • Lim, Kyung-Ran
    • Archives of design research
    • /
    • v.17 no.4
    • /
    • pp.79-88
    • /
    • 2004
  • This study is aimed to grasp the organization of Internet information resources and to infer the characteristics of resource search engines so that criteria may be established to classify and evaluate Internet information resources. In addition, the author has compared and analyzed interior design classification systems of directory sites of each subject that provide classification system based on the Internet, foreign sites to be used to search for information, and domestic information-specialized sites in order to set up models of interior design classification systems of directories of each Web subject. The systems have been analyzed against such four measures as comprehensiveness of the subject scope, logicality of classification systems, preciseness of subject terms, and effectiveness of searches. Information of interior designs is mixed with that of related fields, and so its information search and classification are not organized systematically. The author has analyzed such a problem so as to present models of search engine classification systems for interior design information classification after considering both academic and practical aspects.

  • PDF

A Study on Negation Handling and Term Weighting Schemes and Their Effects on Mood-based Text Classification (감정 기반 블로그 문서 분류를 위한 부정어 처리 및 단어 가중치 적용 기법의 효과에 대한 연구)

  • Jung, Yu-Chul;Choi, Yoon-Jung;Myaeng, Sung-Hyon
    • Korean Journal of Cognitive Science
    • /
    • v.19 no.4
    • /
    • pp.477-497
    • /
    • 2008
  • Mood classification of blog text is an interesting problem, with a potential for a variety of services involving the Web. This paper introduces an approach to mood classification enhancements through the normalized negation n-grams which contain mood clues and corpus-specific term weighting(CSTW). We've done experiments on blog texts with two different classification methods: Enhanced Mood Flow Analysis(EMFA) and Support Vector Machine based Mood Classification(SVMMC). It proves that the normalized negation n-gram method is quite effective in dealing with negations and gave gradual improvements in mood classification with EMF A. From the selection of CSTW, we noticed that the appropriate weighting scheme is important for supporting adequate levels of mood classification performance because it outperforms the result of TF*IDF and TF.

  • PDF

A Study on Building Internal Tables in Christianity of the 5th Edition of Korean Decimal Classification (기독교 분야 내부보조표 설정에 관한 연구 - 한국십진분류법 제5판을 중심으로 -)

  • Jeong, Yu Na;Chung, Yeon-Kyoung
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.24 no.3
    • /
    • pp.29-51
    • /
    • 2013
  • The purpose of this study is to develop internal tables in Christian religion in the 5th edition of Korean Decimal Classification. The scope of the Christianity, its structure of various classification schemes, and the concepts of internal tables were analyzed. The contents of several textbooks were analyzed for the scope of the discipline and the classification schemes and internal tables of DDC, UDC, NDC, LCC, Classification of the Library of Union Theological Seminary and the Classification of the Korea Theological Library were compared. And then, internal tables in Bible, sermon, worship, church history were built and those tables were evaluated by librarians and experts in the fields. And finally, internal tables of the Christiainity and new headings were suggested. New internal tables in Christianity will increase the effectiveness of information retrieval and it will provide a foundation for developing internal tables in other disciplines.

A Study on Classification Standard for Efficient Maintenance System of Educational Facilities (교육시설물의 효율적 유지관리 체계정립을 위한 분류 기준연구)

  • Kim, Song-Hwa;Kim, Sung-Kyum;Cho, Chang-Yeon;Son, Jae-Ho;Kim, Jae-On
    • Proceedings of the Korean Institute Of Construction Engineering and Management
    • /
    • 2007.11a
    • /
    • pp.403-407
    • /
    • 2007
  • Korean Government conducted "a research for establishing the integrated construction information classification system" and suggested the classification system for the first and second level in terms of the complexity in May, 2001. The Ministry of Construction and Transportation announced a standard of the integrated construction information classification system using previous research in August, 2001. Since 2005, many BTL projects have been constructed for the educational facility. However, there is mixed official standard of the system for the educational facility. Moreover, it is difficult for the SPC to use the current "integrated construction information classification system", since the item in the educational facility cannot be easily located in the current system. Thus, this research suggests an efficient maintenance system for the educational facility. Two classification systems, space-oriented and element-oriented systems, are suggested to increase efficiency of the classification system.

  • PDF

Evaluation of Classification Algorithm Performance of Sentiment Analysis Using Entropy Score (엔트로피 점수를 이용한 감성분석 분류알고리즘의 수행도 평가)

  • Park, Man-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.22 no.9
    • /
    • pp.1153-1158
    • /
    • 2018
  • Online customer evaluations and social media information among a variety of information sources are critical for businesses as it influences the customer's decision making. There are limitations on the time and money that the survey will ask to identify a variety of customers' needs and complaints. The customer review data at online shopping malls provide the ideal data sources for analyzing customer sentiment about their products. In this study, we collected product reviews data on the smartphone of Samsung and Apple from Amazon. We applied five classification algorithms which are used as representative sentiment analysis techniques in previous studies. The five algorithms are based on support vector machines, bagging, random forest, classification or regression tree and maximum entropy. In this study, we proposed entropy score which can comprehensively evaluate the performance of classification algorithm. As a result of evaluating five algorithms using an entropy score, the SVMs algorithm's entropy score was ranked highest.

A Study on Brown's Subject Classification (브라운의 주제분류법 연구)

  • Kwak, Chul-Wan
    • Journal of the Korean Society for information Management
    • /
    • v.35 no.4
    • /
    • pp.37-50
    • /
    • 2018
  • The purpose of this study is to analyze the first edition of Brown's Subject Classification and to understand the implications of today's library classification. For this purpose, the first edition of the Subject Classification published in 1906 was analyzed. The analysis results are divided into three main areas. First, SC is divided into eleven main classes and each class is subdivided into enumerated subdivisions from 000 to 999. Second, As a method of synthesizing the classification numbers, there were three methods of synthesis. There was a flexibility to insert a new classification number at the appropriate location when a new topic that does not appear in the main table appeared. Implications for classification studies can be divided into four main categories. First, SC proposed a method of classification number synthesis for composite topics, which is an innovative method that was not available in previous library classification. Second, the subject matter was explained in various aspects through the operation of auxiliary tables supporting the facets. Third, it is possible to easily insert a new topic into the classification system by using the SC that can have a flexible classification system for each library, or to use a short classification number according to the size of the library collection. Fourth, it provided a directory that can be considered as access points for digital materials.