• Journal of Cadastre & Land InformatiX
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• v.49 no.1
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• pp.181-195
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• 2019

This study aims to analyze the spatial context by analyzing the flow characteristics of the walking tour course and visualizing effectively using the floating population data constructed through the communication data. The floating population data refinement algorithm was developed for estimation flow population along the road and the floating population data for each walking tour courses was constructed. In order to adopt the algorithm for forming suitable for the analysis of the walking tour courses, the estimation of floating population considering the area of the road and the estimation of floating population considering the value of floating population around the road were compared. As a result, the estimation of floating population considering ambient the values of flow population was adopted, which is more appropriate to apply analysis method due to the relatively consistent data. Then, a datamining algorithm for walking tour course was constructed according to the characteristics of the floating population data, the absence of missing values. Finally, this study analyzed the flow characteristics and spatial patterns of 18 walking trails in Seoul through the floating population data according to walking tour course. To do this, the kernel density analysis and the Getis-Ord $G^*_i$ statistical hotspot analysis were applied to visualize the main characteristics of each walking tour course.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.5
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• pp.479-485
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• 2011

A number of case studies that find distribution of longevity population and influencing factors through the spatial data fusion using GIS techniques are growing. The majority cases of these studies are adopt census administrative boundary data for the spatial analysis. However, these methods cannot fully explain the phenomenon of longevity because there are a variety of spatial characteristics within the census administrative boundaries. Therefore, studies of spatial unit are required that realistically reflect the phenomenon of human longevity. The dasymetric mapping method enables to product of spatial unit more realistic than census administrative boundary map and statistic estimates of small area utilizing diversity spatial information. In this study, elderly population of small area has been estimated within statistically significant level that applied the vector based dasymetric mapping method. Also, the cluster analysis confirmed that the variation of local spatial relationship within census administrative boundary. The result of this study implied that the need for local-level studies of the human longevity and the validity of the dashmetric mapping techniques.

• Proceedings of the Korean Statistical Society Conference
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• 2005.11a
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• pp.127-131
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• 2005

생활시간조사(Time Use Survey)는 국민들이 주어진 하루 24시간을 어떤 형태로 보내고 있는 지를 알아보기 위한 조사이다. 이를 통하여 인구 속성에 따른 개인유지, 주업, 가정관리, 레저시간 등에 관한 시간활용 정보를 파악하게 된다. 본 연구에서는 시간량 분석의 관점에서 생활시간조사에 대한 탐색적 분석을 시도한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.830-832
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• 2003

본 논문에서는 교육용 컨텐츠 추천시스템의 정확도를 향상시키고자 사용자 모델 정보를 활용하여 기존의 협업여과 방법의 유사도 재산을 보완함으로써 추천의 정확도를 향상시키는 방법을 제안하고자 한다. 협업여과방법은 사용자의 평가와 비슷한 선호도를 가지고 다른 사용자의 평가를 기반으로 제품이나 항목을 예측하고 이를 사용자에게 추천한다. 그러나 협업여과방법은 일정 수 이상의 상품이나 항목에 대한 평가가 이루어져야 하며, 사용자의 평가가 적은 경우 희소성으로 인한 평가의 정확도가 낮아지는 단점을 기지고 있다. 본 논문에서는 인구 통계 정보를 이용한 가상 평가 점수를 반영하여 유사도 계산시 희소성을 낮춰 예측의 정확도를 향상시키고자 한다.

• Journal of the Korean association of regional geographers
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• v.13 no.3
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• pp.290-300
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• 2007

In this study, web document frequency of city place name is analyzed and it is used as the dataset for rank-size analysis. The search keywords are compared in the context of spatial meaning and the different domain corpus is applied. The acquired search results are applied for the further analysis. Firstly, the rank-size analysis is applied to compare the result between population and document frequency. Secondly, in case of correlation analysis, the significant changes are revealed when the spatial criteria for search keywords are increased. In case of corpus, COM, NET, and ORG shows the higher coefficient values. Lastly, the cluster analysis is applied to classify the list of cities that shows the similarity and difference. These analyses have a significant role in representing the rank-size distribution of city names that are reflected on the web documents in the information society.

• Communications for Statistical Applications and Methods
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• v.17 no.3
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• pp.337-347
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• 2010

Most sample surveys are designed to estimate reliable statistics for the whole population and for some large subpopulations. However, the research for small area estimation have been increasing in recent years because users demand to reliable estimates for smaller subpopulations like small areas or specific domains. In Korea, the Economically Active Population Survey(EAPS) is the main household survey that produces monthly unemployment rates for nationwide and 16 large areas (7 metropolitans and 9 provinces) in Korea. For county level estimation, direct estimators are not reliable because of the small sample sizes. We consider small area estimation of the county level unemployment ratesfrom the sample observations in EAPS. To do this, we use an area level model to "borrow strength" from the auxiliary information, such as administrative data and census data. The proposed method is based on the assumption of normality of the model errors in the area level model. The proposed method is compared with the other alternatives in terms of the estimated mean squared errors.

• The Journal of Bigdata
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• v.1 no.1
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• pp.61-66
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• 2016

With big data analysis, companies use the customized marketing strategy based on customer's information. However, because of the concerns about privacy issue and identity theft, people start erasing their personal information or changing the privacy settings on social network site. Facebook, the most used social networking site, has the feature called 'Likes' which can be used as a tool to predict user's demographic profiles, such as sex and age range. To make accurate analysis model for the study, 'Likes' data has been processed by using Gaussian RBF and nFactors for dimensionality reduction. With random Forest and 5-fold cross-validation, the result shows that sex has 75% and age has 97.85% accuracy rate. From this study, we expect to provide an useful guideline for companies and marketers who are suffering to collect customers' data.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.535-538
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• 2009

모바일 단말기 사용자 수의 증가와 위치기반 서비스 기술의 발달로 위치 정보를 활용한 다양한 위치 정보 서비스가 등장하고 있다. 친구들과 약속을 정하는 일은 빈번하게 일어난다. 약속을 정하기 위해서는 모든 친구에게 연락을 해야 하고 각자 선호하는 장소가 다르기 때문에 모든 친구들이 만족할 만한 최적의 장소를 찾기가 어렵다. 본 논문에서는 모바일 환경에서 친구의 위치를 파악하고 사용자와 친구의 성향을 파악하기 위해 협업 필터링과 인구통계학적 정보를 사용하였고, 약속 장소를 선정하기 위해 사용자와 친구의 위치를 기반으로 후보 영역을 선택하여 약속 장소와 시간을 추천하는 서비스를 제공함으로써 약속을 맺기 위한 절차를 간소화 할 뿐 아니라 사용자와 친구의 성향에 맞는 약속 장소를 추천하여 사용자와 친구가 만족 할 수 있는 약속을 형성할 수 있도록 하는 약속 장소, 시간 추천 서비스 시스템을 설계하였다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.119-128
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• 2010

Recently, social network services are rapidly growing and it is estimated that this trend will continue in the future. Social network data can be published for various purposes such as statistical analysis and population studies. When data publication, however, it may disclose the personal privacy of some people, since it can be combined with external information. Therefore, a social network data holder has to remove the identifiers of persons and modify data which have the potential to disclose the privacy of the persons by combining it with external information. The utility of data is maximized when the modification of data is minimized. In this paper, we propose a privacy protection method for social network data that considers both structural and content information. Previous work did not consider content information in the social network or distorted too much structural information. We also verify the effectiveness and applicability of the proposed method under various experimental conditions.

• Korean Journal of Childcare and Education
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• v.1 no.1
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• pp.83-101
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• 2005

The present study applied Bayley Scales of Infant Development to Infants with High Risk to investigate the effects of determinants such as variables related to demographic variable, prenatal and perinatal and postpartal environments, and developmental indices in infancy. First, mental and motor development index were high in infants whose mothers had high in education, mothers had not had a disease during the pregnancy, mothers had not taken medicine during the pregnancy. Second, mental and motor development index were high in infants who had used an oxygen inhaler, incubator, and in infants who had been given a timely birth. Third, mental and motor development index were higher in infants whose mumbling and the initial speaking was normal than in infants whose development was late.