• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.153-167
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• 2015

This paper empirically analyzes specific characteristics of VOD users and their practical viewing patterns, using socio-demographic data of the current IPTV subscribers in combination with actual data of genre usage and payment. The findings revealed active viewing patterns of male, the unemployed, high earners and early adopters. In terms of preferences, households with large numbers of women prefer time shift contents, whereas households composed of more men or preschoolers prefer non-time shift contents. Likewise, the households that have more women or higher income had relatively a lot of experiences of purchasing time shift contents on one hand, but the households characterized by the larger numbers of family members or unemployed householder or young householder showed much willingness to pay premium contents on the other hand. Given the utilization of correct database, the findings offer useful information conducive to service promotion and marketing strategies to maximize VOD use in the practical dimension.

• Journal of the East Asian Society of Dietary Life
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• v.13 no.4
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• pp.284-292
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• 2003

This study was conducted to investigate the changes of dietary attitudes and behaviors in relation to the use of computers of elementary school children in Seoul. The total of 451 elementary school children, consisting of 235 females and 216 males, participated in the study. The result of domestic characteristics, dietary attitudes and behaviors, the level of the use of computers, and health-related symptoms of the subjects were achieved through the questionnaires as follows: The average height, weight, BMI and obesity-index of the participants were 149.0 cm, 42.4 kg, 19.0, -8.6, respectively. Anions subjects, 42.8％ answered their bed times were between 11~12 pm, and 82.4％ answered that they had extracurricular activities. The most desired activity as their leisure was computer works (female: 44.3％, male: 62.5％). 38.4％ of children used the computers for 1~2 hours a day and the most general usage of computers was a computer game (66.1％). The changes in dietary habits of the subjects were such as eating faster(30.2％), having lots of snacks(28.8％), eating anything at hand(26.4％), skipping breakfast due to over-sleeping(18.4％). As changes in life patterns, those in the time managements for watching T.V.(35.3％), reading(35.0％), exercising(31.9％), sleeping(27.5％), relaxing(27.5％) and other hobbies(26.4％) were observed. In conclusion, many children were being affected by the socioeconomic factors changing the environments, especially by the need for the use of computers. The rates of eating alone and skipping breakfast were getting higher in the dietary patterns of elementary school children. We found that the changes in social environments according to the heavy use of the computer were affecting on their dietary pattern. The direction and method of nutrition education had to be established for the proper understanding of the desirable dietary behaviors.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.2
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• pp.137-144
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• 2013

A sequential pattern mining is finding out frequent patterns from the data set in time order. In this field, a dynamic weighted sequential pattern mining is applied to a computing environment that changes depending on the time and it can be utilized in a variety of environments applying changes of dynamic weight. In this paper, we propose a new sequence data mining method to explore the stream data by applying the dynamic weight. This method reduces the candidate patterns that must be navigated by using the dynamic weight according to the relative time sequence, and it can find out frequent sequence patterns quickly as the data input and output using a hash structure. Using this method reduces the memory usage and processing time more than applying the existing methods. We show the importance of dynamic weighted mining through the comparison of different weighting sequential pattern mining techniques.

• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.65-78
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• 2009

The most commonly adopted approach to find valuable information from tree data is to extract frequently occurring subtree patterns from them. Because mining frequent tree patterns has a wide range of applications such as xml mining, web usage mining, bioinformatics, and network multicast routing, many algorithms have been recently proposed to find the patterns. However, existing tree mining algorithms suffer from several serious pitfalls in finding frequent tree patterns from massive tree datasets. Some of the major problems are due to (1) modeling data as hierarchical tree structure, (2) the computationally high cost of the candidate maintenance, (3) the repetitious input dataset scans, and (4) the high memory dependency. These problems stem from that most of these algorithms are based on the well-known apriori algorithm and have used anti-monotone property for candidate generation and frequency counting in their algorithms. To solve the problems, we base a pattern-growth approach rather than the apriori approach, and choose to extract maximal frequent subtree patterns instead of frequent subtree patterns. The proposed method not only gets rid of the process for infrequent subtrees pruning, but also totally eliminates the problem of generating candidate subtrees. Hence, it significantly improves the whole mining process.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.55-75
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• 2010

Sequential pattern mining aims to discover interesting sequential patterns in a sequence database, and it is one of the essential data mining tasks widely used in various application fields such as Web access pattern analysis, customer purchase pattern analysis, and DNA sequence analysis. In general sequential pattern mining, only the generation order of data element in a sequence is considered, so that it can easily find simple sequential patterns, but has a limit to find more interesting sequential patterns being widely used in real world applications. One of the essential research topics to compensate the limit is a topic of weighted sequential pattern mining. In weighted sequential pattern mining, not only the generation order of data element but also its weight is considered to get more interesting sequential patterns. In recent, data has been increasingly taking the form of continuous data streams rather than finite stored data sets in various application fields, the database research community has begun focusing its attention on processing over data streams. The data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. In data stream processing, each data element should be examined at most once to analyze the data stream, and the memory usage for data stream analysis should be restricted finitely although new data elements are continuously generated in a data stream. Moreover, newly generated data elements should be processed as fast as possible to produce the up-to-date analysis result of a data stream, so that it can be instantly utilized upon request. To satisfy these requirements, data stream processing sacrifices the correctness of its analysis result by allowing some error. Considering the changes in the form of data generated in real world application fields, many researches have been actively performed to find various kinds of knowledge embedded in data streams. They mainly focus on efficient mining of frequent itemsets and sequential patterns over data streams, which have been proven to be useful in conventional data mining for a finite data set. In addition, mining algorithms have also been proposed to efficiently reflect the changes of data streams over time into their mining results. However, they have been targeting on finding naively interesting patterns such as frequent patterns and simple sequential patterns, which are found intuitively, taking no interest in mining novel interesting patterns that express the characteristics of target data streams better. Therefore, it can be a valuable research topic in the field of mining data streams to define novel interesting patterns and develop a mining method finding the novel patterns, which will be effectively used to analyze recent data streams. This paper proposes a gap-based weighting approach for a sequential pattern and amining method of weighted sequential patterns over sequence data streams via the weighting approach. A gap-based weight of a sequential pattern can be computed from the gaps of data elements in the sequential pattern without any pre-defined weight information. That is, in the approach, the gaps of data elements in each sequential pattern as well as their generation orders are used to get the weight of the sequential pattern, therefore it can help to get more interesting and useful sequential patterns. Recently most of computer application fields generate data as a form of data streams rather than a finite data set. Considering the change of data, the proposed method is mainly focus on sequence data streams.

• The Korean Journal of Pesticide Science
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• v.7 no.1
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• pp.66-73
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• 2003

Actual pesticide usage in fruit vegetable cultivation was surveyed. Usage trend of in of vidual pesticides was evaluated to provide the data for the development of indicators of environmental impact and the production of safe agricultural products. The amount of the pesticides used for fruit vegetables was revealed in order of fungicide> insecticide> herbicide, showing that the portion of fungicide to the total amount used was about 70 to 80%. Main fungicides used on fruit vegetables were mancozeb, thiophanate-methyl propineb, etc while the insecticides were imidacloprid, milbemectin, methomyl, etc. Main formulation types of pesticide were wettable powder and emulsifiable concentrate. By different fruit vegetables and cultivation patterns, pesticide use per unit area was revealed red pepper (field cultivation, 13.2kg/ha), cucumber (field cultivation, 12.4kg/ha), sweet melon (field cultivation, 11.2kg/ha) as high pesticide use crops, meanwhile, water melon (greenhouse cultivation, 1.2kg/ha), sweet melon (greenhouse cultivation, 2.2kg/ha), strawberry (field cultivation, 2.8kg/ha) as low pesticide use crops.

• Information Systems Review
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• v.9 no.2
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• pp.15-39
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• 2007

Mobile games have emerged as the most innovative entertainment technology, adding new revenue streams, taking advantage of the potential of wireless applications and service offerings. Mobile games, like any other types of computer game, offer a unique value for users in providing an exciting digital experience in virtual worlds. In this paper, we attempt to investigate the demographic factors which play critical roles in determining the level of playing times; classify mobile gamers based on their motives for playing games; and empirically test differences in their demographic factors and mobile game usage. Statistical results show that significant differences in playing times exist, depending upon their age, gender, mobile device, mobile phone usage, mobile game experiences, and preferred games genres. Applying Factor analysis, we have identified Escape, Social interaction, Challenge and Competition, Fantasy, Diversion and Relaxation, Ease of Accessibility as key motivators for playing mobile games. Additional cluster analysis shows that the categorization of gamers, according to their usage habits and the key motivators for playing, can be made as follows: Multi-gamers, Communication-focused gamers and Mobile active-gamers. Further correlation of these grouping with socio-economic data shows the significant differences in gaming habits and patterns of mobile phone use.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.477-484
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• 2016

This study was carried out to determine the factors affecting the trend and usage of Magnetic Resonance Imaging before and after the implementation of National Health Insurance. The research materials were the MRI Execution Data, Health Insurance Review Data, and Medical Expenses in the Health Insurance Data from a General Hospital located in Dae-jeon Metropolitan City from 2004 to 2013. The subjects of analysis were 3,754 people in 2004 (prior to the implementation of Health Insurance), and 4,107-8,603 people from 2005-2013(after the implementation of Health Insurance). In terms of analysis, a comparison of the use of MRI before and after implementation of the Health Insurance of User Characteristics and Provider Characteristics were taken as $X^2$, while factor analysis for the elements that affect MRI usage was carried out by Hierarchical Multiple Regression Analysis. According to the results of this study, the level of use decreased temporarily in the initial application stages of the national health insurance, but it soon increased. In particular, the inspection rates for women, the head and neck, those not subject to the application of the national health insurance, internal medicine, and the inpatients increased. The application of the national health insurance for MRI influenced the increasing inspection rates (P<.0001). As the inspection rate for the MRI increased, it is important to expand the application of the national health insurance to reduce the national health expenditure.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.11 no.1
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• pp.53-64
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• 2016

Objectives : The aim of this study is to assess the usage of diagnosis codes for somatic dysfunctions and the general characteristics of patients diagnosed with the code, by analyzing health insurance data provided by the Health Insurance Review & Assessment Service(HIRA) of Korea. This investigation is intended to outline future and willing to contribute to further use of diagnosis code and the approach of Oriental Medicine to somatic dysfunction. Materials and Methods : By analyzing HIRA data, those diagnosed with M99 codes, a code attributed to somatic dysfunction, were selected for analysis. Patients included were assessed for the relevant general characteristics, and the specific diagnostic criteria. The current usage rates and noteworthy characteristics of diagnostic codes of somatic dysfunctions were assessed. A comparative analysis between clinical departments and subcategories, and a comparative analysis to data of 2014 was conducted. Results : Patients given M99 codes constituted a small minority of all patients diagnosed in 2011 as shown by HIRA data. The codes were more frequently to older patients, females, outpatients, and those who filed for Health Insurance compensation. Medical institutions participating in the diagnosis were mostly primary care facilities, usually specializing in orthopedic(Western medicine sector) and internal medicine (Oriental Medicine sector). The most registered code in 2011 and 2014 was M995. The same trend can be observed in Oriental/Western medicine institutions and Public health center, on the other hand, between them, have some different patterns both 2nd and 3rd. Conclusions : This investigation is that of current usage of diagnostic codes of somatic dysfunction. HIRA insurance claim data was analyzed. Based on the current results, more precise diagnostic standards of somatic dysfunction are warranted. This study will provide a foundation for future Oriental Medicine approach to somatic dysfunctions.

• Journal of the Korean Society of Food Culture
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• v.29 no.4
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• pp.364-371
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• 2014

The purpose of this study was to estimate usage of vitamin and mineral supplements as over-the-counter (VM-OTC) drugs as well as examine factors associated with VM-OTC usage in Korean adolescents. A total of 1,407 adolescents attending middle or high school in all parts of country were included in the analysis. Prevalence of VM-OTC usage was 56.1%, and it was higher as monthly income, father's education level, and socioeconomic status of family increased (p<0.001). VM-OTC intake was higher in middle school students than in high school students as well as in rural areas or small & mediumsized city residents than big city residents (p<0.01). Subjects mainly received information on VM-OTC mainly from 'family and relatives' (46.6%), whereas only 20.3% received information from experts. Subjects took VM-OTC 'when they are healthy' (49.1%), 'when they feel sick' (17.7%), 'when they are on a diet' (17.3%), and 'when they are stressful' (15.9%). The effectiveness of taking VM-OTC were mainly 'fatigue recovery' (35.0%), 'health improvement' (30.6%), and 'nutritional status improvement' (13.2%). The most frequently used VM-OTC was vitamin C (49.1%), multi-vitamins (18.6%), multi vitamins & minerals (13.2%), and calcium (9.2%). Among VM-OTC users, only 21.9% replied that they usually check the nutrition facts when they buy products, 62.4% follow the recommended dosage, and 9.7% fully understand the nutrition labels of the products. According to logistic regression analysis, the most influential factor affecting VM-OTC use was parents' and siblings' VM-OTC consumption (p<0.001). In addition, school type (middle or high school) (p<0.01), residence (p<0.05), self-concerns about health (p<0.05), father's education level (p<0.05), and socioeconomic status of family (p<0.05) all influenced VM-OTC use. These results show that VM-OTC use is widespread among adolescents, few users actually check and fully understand the nutrition labels when they purchase VM-OTC, and they are highly dependent on unprofessional advice and information. Therefore, it is necessary to educate adolescents to help them select proper VM-OTC and read nutrition labels.