• Archives of design research
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• v.15 no.2
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• pp.223-232
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• 2002

As the Internet becomes widespread as a significant tool of obtaining information, there is a growing demand for a system to efficiently organize and manage information on the Internet. Accordingly, research on the directory classification structure that directly affects the efficiency of a users information search is actively investigated in every field. The study intends to suggest an efficient classification structure by comparing and analyzing the directory classification structure of current design portal sites with the theory of literature classification structure, in order to increase the efficiency of search according to the directory classification structure of design sector.

• Journal of the Korean Society for information Management
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• v.25 no.3
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• pp.357-375
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• 2008

With the rapid distribution and active usage of the Internet, information search and retrieval through Internet has become a primary form of information access. This ubiquity of information access through Internet means the increased significance of search performance offered by Internet portals, since the optimization of search performance by portal has strong implication for the effective access of information through Internet in general. In this context, this paper investigates the classification scheme used in the directory service of internet portals, which provides selected and organized access to Internet information. First, the author analyzes the deployment of directory classification of standard subdivision topics used in traditional library classification system, with emphasis on the table composed of the form and approach, which are applicable to diverse subject areas. Then, based on this analysis, he proposed a method of applying certain subdivisions of the standard subdivision to directory service of Internet portals.

• Journal of the Korean Institute of Oriental Medical Informatics
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• v.15 no.1
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• pp.1-10
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• 2009

In these days everyone search the information easily with the Internet as the rapid distribution and active usage of the Internet. The search engines were developed specially to accuracy of information retrieval. User search the information more quickly and variously with them. The search portal system will be embossed with representation and basic services. The Internet user needs the result of text, image and video, knowledge search. The keyword based search is used generally for getting result of the information retrieval and another method is category based search. This paper investigates the classification of knowledge search structure for oriental medicine in market leader of search portal system by ranking web site. As a result, each classification system is unified and there is a possibility of getting up a many confusion to the user who approaches with classification systematic search method. This treatise proposed the improved oriental medicine classification system of internet information retrieval in knowledge search area. if the service provider amends about the classification system, there will be able to guarantee the compatibility of data. Also the proper access path of the knowledge which seeks is secured to user.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.3
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• pp.127-144
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• 2007

The purpose of this study is to design the classification system for christian information resources on the internet in Korea. For this purpose, the study is investigated the divisions of Christianity of (1) library classifications: KDC, DDC, LCC, (2) portal sites: Daum, Empas, Naver, (3) Christianity Portal sites GodPeaple, Kidok, Godpia. And it compared the classification systems of KDC, DDC and GodPeaple. This study selected criteria as follows: comprehension, logicality, definiteness, efficiency and current topics. It suggested the classification system(draft) for christian information resources on internet which are composed of 10 classes.

• Archives of design research
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• v.17 no.4
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• pp.79-88
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• 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.

• Journal of Korean Library and Information Science Society
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• v.39 no.3
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• pp.321-344
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• 2008

This study tries to compare the classification systems of major internet portals and their sub-portals specialized for the children and of major online book stores. It compares and analyzes the major directories of them and suggests recommendations not only to improve their own systems but also to apply to the development for the classification systems for children's library. Some of them are: (1) The system should reflect information requests and use behaviors of the children netizen. (2) It should select the terms reflecting the children's viewpoints and expressions and suggest the guidelines by ages. (3) It should maintain the clear hierarchies and grouping for the accessability and convenience of the users. (4) It will be helpful to establish the categories to mix the subject- or concept-based categories and the activities and objects of the children. (5) It will also be helpful to establish the categories based on the curricula added by those creating the imagination and interest and to subdivide by subject.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3756-3777
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• 2019

Recent internet development is helping malware researchers to generate malicious code variants through automated tools. Due to this reason, the number of malicious variants is increasing day by day. Consequently, the performance improvement in malware analysis is the critical requirement to stop the rapid expansion of malware. The existing research proved that the similarities among malware variants could be used for detection and family classification. In this paper, a Cross-Platform Malware Variant Classification System (CP-MVCS) proposed that converted malware binary into a grayscale image. Further, malicious features extracted from the grayscale image through Combined SIFT-GIST Malware (CSGM) description. Later, these features used to identify the relevant family of malware variant. CP-MVCS reduced computational time and improved classification accuracy by using CSGM feature description along machine learning classification. The experiment performed on four publically available datasets of Windows OS and Android OS. The experimental results showed that the computation time and malware classification accuracy of CP-MVCS was higher than traditional methods. The evaluation also showed that CP-MVCS was not only differentiated families of malware variants but also identified both malware and benign samples in mix fashion efficiently.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.27-32
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• 2024

Reliable and fine-grained musical metadata are required for efficient search of rapidly increasing music files. In particular, since the primary motive for listening to music is its emotional effect, diversion, and the memories it awakens, emotion classification along with genre classification of music is crucial. In this paper, as an initial approach towards a "ground-truth" dataset for music emotion and genre classification, we elaborately generated a music corpus through labeling of a large number of ordinary people. In order to verify the suitability of the dataset through the classification results, we extracted features according to MPEG-7 audio standard and applied different machine learning models based on statistics and deep neural network to automatically classify the dataset. By using standard hyperparameter setting, we reached an accuracy of 93% for genre classification and 80% for emotion classification, and believe that our dataset can be used as a meaningful comparative dataset in this research field.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.2
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• pp.47-56
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• 2014

Internet traffic has rapidly increased due to the supplying wireless devices and the appearance of various applications and services. By increasing internet traffic rapidly, the need of Internet traffic classification becomes important for the effective use of network resource. However, the traffic classification scheme is not much studied comparing to the study for classification method. This paper proposes novel classification scheme for multilateral and hierarchical traffic identification. The proposed scheme can support multilateral identification with 4 classification criteria such as service, application, protocol, and function. In addition, the proposed scheme can support hierarchical analysis based on roll-up and drill-down operation. We prove the applicability and advantages of the proposed scheme by applying it to real campus network traffic.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.66-71
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• 2005

Using for the internet information is easy or difficult. The effort to obtain the useful information is developed the various technique such as search as well as the information repository, classification, processing and the utilization. Specially, such developments are remarkable to the Agent of various uses and the classification, conversion in processing techniques. The study introduces the classification service system of internet documents which is processing from the repository of internet information to the automatic classification and search service.