• Smart Media Journal
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• v.12 no.5
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• pp.9-16
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• 2023

In the recommendation system of the credit card company, it is necessary to understand the customer patterns to predict a customer's next merchant based on their histories. The data we want to model is much more complex and there are various patterns that customers choose. In such a situation, it is necessary to use an effective model that not only shows the relevance of the merchants, but also the relevance of the customers relative to these merchants. The proposed model aims to predict the next merchant for the customer. To improve prediction performance, we propose a novel model, called Customer-based Recommendation Model (CRM), to produce a more efficient representation of customers. For the next merchant recommendation system, we use a synthetic credit card usage dataset, BC'17. To demonstrate the applicability of the proposed model, we also apply it to the next item recommendation with another real-world transaction dataset, IJCAI'16.

• The Korean journal of internal medicine
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• v.39 no.3
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• pp.383-398
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• 2024

The identification of antimicrobial use patterns is essential for determining key targets for antimicrobial stewardship interventions and evaluating the effectiveness thereof. Accurately identifying antimicrobial use patterns requires quantitative evaluation, which focuses on measuring the quantity and frequency of antimicrobial use, and qualitative evaluation, which assesses the appropriateness, effectiveness, and potential side effects of antimicrobial prescriptions. This paper summarizes the quantitative and qualitative methods used to evaluate antimicrobials, drawing insights from overseas and domestic cases.

• The Research Journal of the Costume Culture
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• v.28 no.2
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• pp.199-214
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• 2020

The study investigates Atlas fabrics, the Ikat weaving method used by the Uygur People in Xinjiang, China. Based on domestic and foreign papers and other literature, different cultural characteristics of Ikat fabrics from various regions are compared. Following a theoretical investigation, characteristics of fabrics from the Indian Patola, Indonesian Ikat, Japanese Kasuri, and Uzbekistan Adras are summarized and compared with the characteristics of pattern, color, and manufacturing process of Atlas silk from Xinjiang China (also an Ikat fabric). The results are as follows. First, although the weaving process used for Ikat fabrics differs from country to country according to different national cultures, lifestyles, colors, patterns, and usage methods, they are all Ikat dyed fabrics. Therefore, they are all regarded as precious objects symbolizing a certain social status, and are used as a gift for special occasions, such as weddings. Second, the form of the pattern varies. Indian Patola has clear outlines and regular patterns, while the patterns of Japanese Kasuri are mainly inspired by folk life ideas. Indonesian Ikat contains influences from indigenous tribes, and Uzbekistan's and China's Atlas textiles are influenced by geography, religion, and national culture, including bright colors and pattern designs inspired by plants, musical instruments, and geometric figures. Finally, the patterns and colors of Xinjiang Atlas fabrics present strong ethnic characteristics. Unlike the Uzbekistan fabric which is mostly influenced by Islam, human and animal patterns would not feature in Xinjiang Atlas patterns, which mostly consist of long strips, repeated in a neat and orderly form.

• Journal of the Korean Society of Costume
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• v.53 no.8
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• pp.121-135
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• 2003

The purpose of this study is to suggest a theoretical basis to name Sa(紗) and Ra(羅) remains properly by comparing and analyzing the name, usage, value, length and width of Sa(紗) and Ra(羅) recorded on documents made at the end period of Joseon. The features of Sa(紗) and Ra(羅) at the end of the Joseon Period are as follows. 1. The kinds of Sa(紗) are about 80, those of Ra(羅) are about 12, and those of Sa(紗) are significantly more than those of Ra(羅). In regard to the aspect of patterns, there were about 20 types of patterns in the case of Sa(紗), but no specific pattern for Ra(羅). 2. Some newly revealed patterns in the case of Sa (紗) are as follows. Baek -bok-mun(백복문) was a pattern full of ‘bats(박쥐[복])’, and Baek-jeop-mun(백접문) was a pattern full of ‘butterflies(나비[蝶])’ Jeop-mun(접문) was classified into ‘butterfly patterns(나비문[접문])’ and ‘traditional window flame patterns(창살문[접문])‘. 3. When considering the usages of Sa(紗) and Ra(羅), Sa(紗) was used for various detailed purposes according to their kinds and patterns, but Ra(羅) was mostly used for underwear. The most commonly used Sa(紗) was the Gab-sa type(甲紗類). On the contrary, the Go-sa type(庫紗類) was significantly less used than the Gab-sa type(甲紗類). However, it must have been of relatively high quality Sa(紗), shown by the fact that it was used for outer garments. In addition, the Gung-sa type(宮紗類) was the best quality Sa(紗), shown by the fact that it was used for court dress and official uniforms in the royal court. 4. Sa(紗) and Ra(羅) whose features have been examined we Gapsa(甲紗), Sun-in (純仁), Gosa(庫紗), Gwansa(官紗), Jusa(走紗), Eunjosa(은조사), Gwangsa(廣紗), Waesa(倭紗), Dorisa(도리사), Gong-yangsa(공양사), Rasa(羅紗), Danghangra(唐亢羅), Yanghangra(洋亢羅), Yunjura(윤주라), Eunra(銀羅), Jeohangra(저항라), Chura(秋羅). 5. Regarding the values of Sa(紗) and Ra(羅), they were high quality textures and its length and width of 1 Pil(疋), a roll of cloth, were not subdivided in detail such as in the case of plain weaved silks(平絹).

• 한국데이터정보과학회:학술대회논문집
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• 2004.04a
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• pp.225-236
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• 2004

Every web server comprises a repository of all actions and events that occur on the server. Server logs can be used to quantify user traffic. Intelligent analysis of this data provides a statistical baseline that can be used to determine server load, failed requests and other events that throw light on site usage patterns. This information provides valuable leads on marketing and site management activities. In this paper, we propose a method of design for log analysis system using RTMA(realtime monitoring and analysis) technique.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.151-152
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• 2010

WWW images locate in structural, networking documents, so the importance of a word can be indicated by its location, frequency. There are two patterns for multi-cues ingegration annotation. The multi-cues integration algorithm shows initial promise as an indicator of semantic keyphrases of the web images. The latent semantic automatic keyphrase extraction that causes the improvement with the usage of multi-cues is expected to be preferable.

• Proceedings of the Korean Society for Information Management Conference
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• 2011.08a
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• pp.23-28
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• 2011

학술연구 저작물 중 연구 실적을 심층적으로 포함하는 학위자료를 저자 스스로가 개방 공유하는 움직임이 확대되고 있습니다. 국내 대학은 한국교육학술정보원(KERIS)에서 보급한 dCollection 시스템을 통해 전자학위논문(ETDs)의 유통과 보존 및 활용을 하고 있으며, 최근에는 온라인으로 저작권 동의, 이용범위를 설정하는 Creative Commons License(CCL) 적용이 확대되고 있습니다. 이처럼 저자가 공개한 학위논문은 각 대학도서관의 기관 레포지토리, 학술연구정보서비스(RISS) 및 민간포털 등을 통해 누구나 이용할 수 있습니다. CCL 적용에 따른 국내 학위논문의 유통과 이용 측면에서 변화를 살펴보고자 합니다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1213-1214
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• 2012

Global variables can be read or modified by any part of the program, making it difficult to remember or reason about every possible use. Sometime it has tight couplings between some of other variables, and couplings between variables and functions. The main focus of this paper is to use call graph and the control flow analysis to design a model from where we generate the test cases for testing global variables.

• Journal for History of Mathematics
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• v.34 no.6
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• pp.195-204
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• 2021

Mathematical induction is one of the deductive methods used for proving mathematical theorems, and also used as an inductive method for investigating and discovering patterns and mathematical formula. Proper understanding of the mathematical induction provides an understanding of deductive logic and inductive logic and helps the developments of algorithm and data science including artificial intelligence. We look at the origin of mathematical induction and its usage and educational aspects.

• Journal of KIISE:Software and Applications
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• v.30 no.9
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• pp.843-849
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• 2003

Web usage mining is the technique of data mining that analyzes web users' usage patterns by large web log. To use the web usage mining technique, we have to classify correctly users and users session in preprocessing, but can't classify them completely by only log files with standard web log format. To classify users and user session there are many problems like local cache, firewall, ISP, user privacy, cookey etc., but there isn't any definite method to solve the problems now. Especially local cache problem is the most difficult problem to classify user session which is used as input in web mining systems. In this paper we propose a heuristic method which solves local cache problem by using only click stream data of server side like referrer log, agent log and access log, classifies user sessions and completes session.