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Multi-Valued Classification of Text Data Based on an ECOC Approach Using a Ternary Orthogonal Table
Leona Suzuki,Kenta Mikawa,Masayuki Goto 대한산업공학회 2017 Industrial Engineeering & Management Systems Vol.16 No.2
Because of the advancements in information technology, a large number of document data has been accumulated on various databases and automatic multi-valued classification becomes highly relevant. This paper focuses on a multivalued classification technique that is based on Error-Correcting Output Codes (ECOC) and which combines several binary classifiers. When predicting the category of a new document data, the outputs of the binary classifiers are combined to produce a predicted value. It is a known problem that if two category sets have an imbalanced amount of training data, the prediction accuracy of a binary classifier is low. To solve this problem, a previous study proposed to employ the Reed-Muller (RM) codes in the context an ECOC approach for resolving the imbalance in the cardinality of the training data sets. However, RM codes can equalize the amount of between training data of two category sets only for a specific number of categories. We want to provide a method that can be employed for a multi-valued classification with an arbitrary number of categories. In this paper, we propose a new configuration method combining binary classifiers with categories, which are not used for classification. This method allows us to reduce the amount of training data for each binary classifier while improving the balance of the training data between two category sets for each binary classifier. As a result, the computational complexity can be decreased. We verify the effectiveness of our proposed method by conducting a document classification experiment.
Multi-Valued Classification of Text Data Based on an ECOC Approach Using a Ternary Orthogonal Table
Suzuki, Leona,Mikawa, Kenta,Goto, Masayuki Korean Institute of Industrial Engineers 2017 Industrial Engineeering & Management Systems Vol.16 No.2
Because of the advancements in information technology, a large number of document data has been accumulated on various databases and automatic multi-valued classification becomes highly relevant. This paper focuses on a multi-valued classification technique that is based on Error-Correcting Output Codes (ECOC) and which combines several binary classifiers. When predicting the category of a new document data, the outputs of the binary classifiers are combined to produce a predicted value. It is a known problem that if two category sets have an imbalanced amount of training data, the prediction accuracy of a binary classifier is low. To solve this problem, a previous study proposed to employ the Reed-Muller (RM) codes in the context an ECOC approach for resolving the imbalance in the cardinality of the training data sets. However, RM codes can equalize the amount of between training data of two category sets only for a specific number of categories. We want to provide a method that can be employed for a multi-valued classification with an arbitrary number of categories. In this paper, we propose a new configuration method combining binary classifiers with categories, which are not used for classification. This method allows us to reduce the amount of training data for each binary classifier while improving the balance of the training data between two category sets for each binary classifier. As a result, the computational complexity can be decreased. We verify the effectiveness of our proposed method by conducting a document classification experiment.
영국 박물관·미술관 교육 사례 : 2008년 이후 영국 국립박물관의 교육 운영 변화를 중심으로
김가영(Kim, Khayoung Leona) 한국박물관교육학회 2020 박물관교육연구 Vol.- No.24
2020년 현재 영국을 대표하는 국립 박물관 3개관의 교육프로그램을 중심으로 영국 박물관 교육의 특징과 흐름을 살펴보았다. 2008년 기존 연구 이후로 기간을 특정하여 살펴본 3개관의 교육은 이전과 마찬가지로 전통적인 영국 박물관 특유의 학교 교육과의 강한 연계를 중심으로 이루어지고 있었다. 하지만 영국 국립 박물관 주무 부처의 문화예술 및 교육 관련 정책 변화 등을 반영하여 유의미한 변화 양상도 살펴 볼 수 있었다. 첫째, 국립 박물관으로서 지방 박물관과의 네트워크 구축에 있어서 적극적인 역할 수행과 함께 지역 내 신규 교육 콘텐츠 발굴과 역량 강화에 많은 노력을 기울이고 있다. 둘째, 박물관 컬렉션의 공공 디지털화 확대와 이를 활용한 다양한 교육 교구재의 개발·제작 등이 이루어지고 있었으며 코로나-19 이후 가속화되고 있다. 셋째, 영국의 박물관들은 기존 세계화, 글로벌 이슈, 다문화 교육 등에 대한 관심에 더하여 최근에는 영국 자체에 대한 관심이 눈에 띄게 높아졌으며 이러한 경향을 교육 프로그램에 집중적으로 반영하고 있다. The aim of this paper is to re-examine the characteristics and flow of British museum education, focusing on the education programs of the three national museums representing the United Kingdom since the previous study in 2008. As before, it was centered around a strong connection with school education as distinctively traditional British museums have done. However, significant changes were also seen to reflect the changes in policies of the Dept. of DCMS. First, as a national museum, museums are actively playing their role in establishing networks with local museums and making great efforts to discover new educational content and strengthen their capabilities in the region. Second, the expansion of public digitalization of museum collections, and the development and production of various educational teaching materials using them have been carried out, and has been accelerating since Corona-19. Third, British museums have recently become noticeably more interested in the UK itself.