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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korean Data and Information Science Society
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Korean Data and Information Science Society
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Volume & Issues
Volume 19, Issue 4 - Nov 2008
Volume 19, Issue 3 - Aug 2008
Volume 19, Issue 2 - Apr 2008
Volume 19, Issue 1 - Feb 2008
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Deinterlacing Algorithm Based on Statistical Tests
Kim, Yeong-Hwa ; Nam, Ji-Ho ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 723~734
The main reason for deinterlacing is frame-rate conversion. The other reason for deinterlacing is of course improve clarity and reduce flicker. Using a deinterlacer can help clarity and stability of the image. Many deinterlacing algorithms are available in image processing literatures such as ELA and E-ELA. This paper propose a new statistical deinterlacing algorithm based on statistical tests such as the Bartlett test, the Levene test and the Kruskal-Wallis test. The results obtained from the proposed algorithms are found to be comparable to those from many well-known deinterlacers. However, the results in the proposed deinterlacers are found to be more efficient than other deinterlacers.
Analysis of Multicategory Responses with Logit Model on Earlyold Age Pension
Kim, Mi-Jung ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 735~749
This article suggests application of logit model for analysis of multicategory responses. Referring to the reference category, characteristic of each category is obtained from analysis of polytomous logit model. With National Pension data it is illustrated that application of logit model helps it possible to find significant factors which may not be found only with polytomous logit model. Application of the logit model is done by reducing the number of categories. Categories are grouped into the former and the latter group according to reference category. Extra finding of significant factor was possible from logistic regression analysis for the two groups after removing the reference category. It is expected that this application would be helpful for finding information and characteristics on ordered multicategory responses where the proportional odds model does not fit.
Demension reduction for high-dimensional data via mixtures of common factor analyzers-an application to tumor classification
Baek, Jang-Sun ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 751~759
Mixtures of factor analyzers(MFA) is useful to model the distribution of high-dimensional data on much lower dimensional space where the number of observations is very large relative to their dimension. Mixtures of common factor analyzers(MCFA) can reduce further the number of parameters in the specification of the component covariance matrices as the number of classes is not small. Moreover, the factor scores of MCFA can be displayed in low-dimensional space to distinguish the groups. We propose the factor scores of MCFA as new low-dimensional features for classification of high-dimensional data. Compared with the conventional dimension reduction methods such as principal component analysis(PCA) and canonical covariates(CV), the proposed factor score was shown to have higher correct classification rates for three real data sets when it was used in parametric and nonparametric classifiers.
Effects of Traditional Firms' Agility Obtained by Adopting Internet Business on Corporate Image and Customer Satisfaction
Yi, Jun-Sub ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 761~774
Agility is vital to real-time enterprises in comtemporary dynamic business environment. This study aims to investigate the relationships between traditional shipping and port logistics firms' customer agility obtained by adopting Internet business, and their corporate image and customer satisfaction. Using questionnaire data, factor analyses were used to figure out five major agility factors, corporate image factor, and customer satisfaction factor. The agility factors were then used to investigate how they improve the firms' corporate image and customer satisfaction. The results of the regression analyses show that agility factors significantly influence the firms' corporate image and customer satisfaction factors.
Shopping Propensity for Clothes Consumers in the Internet Shopping Mall - Focused on university students in Busan -
Jhun, Mi-Ran ; Beum, Su-Gyun ; Choi, Seung-Bae ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 775~788
In this study, the consumers were classified into Risk Avoidance Group, Enjoyment and Economy Group, Low Involving Group and High Involving Group by shopping propensity of the consumers and investigated the difference in their evaluation criteria and purchasing intention. The samples used in this study are 214 university students in Busan area who visited the internet shopping mall or had an experience to buy clothes through an internet. The purpose of this study is to identify how the internet university students' clothes shopping propensity and demographical factors affect the evaluation criteria and purchasing intention for clothes. And based on the results, the implications for internet clothes shopping mall are suggested and post research subject is provided as well.
Validation Comparison of Credit Rating Models Using Box-Cox Transformation
Hong, Chong-Sun ; Choi, Jeong-Min ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 789~800
Current credit evaluation models based on financial data make use of smoothing estimated default ratios which are transformed from each financial variable. In this work, some problems of the credit evaluation models developed by financial experts are discussed and we propose improved credit evaluation models based on the stepwise variable selection method and Box-Cox transformed data whose distribution is much skewed to the right. After comparing goodness-of-fit tests of these models, the validation of the credit evaluation models using statistical methods such as the stepwise variable selection method and Box-Cox transformation function is explained.
Empirical Comparison of Measurement Methods for Educational Service Quality
Kang, Sung ; Choi, Kyung-Ho ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 801~809
Nowadays almost all universities are endeavoring to improve the quality of education offered. The quality of education that is provided should be measured beforehand. This study examined three methods, SERVQUAL, SERVPERF and Lee and Yun(2004)'s method of measuring service quality: SERVQUAL, SERVPERF are well known and the most commonly used measurement of the quality of education offered and the Lee and Yun(2004)'s method measures service quality using fuzzy numbers. As a result of this research, SERVQUAL was proven to be the most efficient method to measure the quality of education offered. Even though, more actual analysis related to this study should be followed, the research is meaningful in a way that it provided clues and reasons for the study.
Modified n-Level Skip-Lot Sampling Inspection Plans
Cho, Gyo-Young ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 811~818
This paper is the generalization of the modified two-level skip-lot sampling plan(MTSkSP2) to n-level. The general formulas of the operating characteristic(OC) function, average sample number(ASN) and average outgoing quality(AOQ) for the plan are derived using Markov chain properties.
Improving the MAE by Removing Lower Rated Items in Recommender System
Kim, Sun-Ok ; Lee, Seok-Jun ; Park, Young-Seo ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 819~830
Web recommender system was suggested in order to solve the problem which is cause by overflow of information. Collaborative filtering is the technique which predicts and recommends the suitable goods to the user with collection of preference information based on the history which user was interested in. However, there is a difficulty of recommendation by lack of information of goods which have less popularity. In this paper, it has been researched the way to select the sparsity of goods and the preference in order to solve the problem of recommender system's sparsity which is occurred by lack of information, as well as it has been described the solution which develops the quality of recommender system by selection of customers who were interested in.
Segmentation of Cooperatives' Mutuality Bank for Effective Risk Management using Factor Analysis and Cluster Analysis
Cho, Yong-Jun ; Ko, Seoung-Gon ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 831~844
Since cooperatives consist of many distinct members in the management environment and characteristics, it is necessary to make similar cooperatives into a few groups for the effective risk management of cooperatives' mutuality bank. This paper is a priori research for suggesting a guidance for effective risk management of cooperatives with different management strategy. For such purpose, we propose a way to group the members of cooperative's mutuality bank. The 30 continuous variables which is relative to cooperatives' management status are considered and six factors are extracted from those variables through factor analysis with empirical consideration to avoid wrong grouping and to enhance the practical interpretation. Based on extracted six factors and additional 3 categorical variables, six representative groups are derived by the two step clustering analysis. These findings are useful to execute a discriminatory risk management and other management strategy for a mutuality bank and others.
Critical Views of Qualification Studies and Pre-Exams for 2009 Korea School Math Teacher Appointment-Proportion of Issued Problems of Probability and Statistics
Lee, Sang-Bock ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 845~849
2009 year new execution of appointments for secondary school teachers was announced at 2004 year by Ministry of Education. The new school teacher appointment has been developed and studied in various aspects of appropriate qualification for good school teacher. In the results of the studies by Korea School Mathematics Education Association and pre-exams by Korea Institute for Curriculum and Evaluation, the Probability and Statistics chapters are less revaluated as 7.5-10%, but we argue those more than 15% as along with our recent Korean school texts reviews(Lee, et al., 2005).
Design and Implementation of an Educational RSS Sharing System for e-Learning 2.0
Lee, Myung-Jin ; Oh, Sun-Jin ; Bae, Ihn-Han ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 851~865
Recently, the Web 2.0 and RSS techniques have gained enormous attention in the Internet and e-Learning fields. In this paper, we design a RSS system on the Web 2,0 base for e-Learning, and implement the educational RSS information sharing system for back-to-basic curriculum of secondary schools that is called EduRSS. Our EduRSS can create web feed file with RSS format from learning blogs for back-to-basic curriculum, and share it with other users conveniently. In addition, it also provide the recommendation function to improve the reliability of the RSS feed resources.
Developing Programs in Regional Statistic
Park, Min-Jung ; Cho, Kil-Ho ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 867~875
At the period of knowledge and information in the twenty-first century, we need to produce exact data and draw up exact statistic for reasonable plans and policy which are necessary to regional growth, employment relationship, and regional welfare work. Also, we must form basis of regional statistic by producing statistic which affects on economic and social phenomenon like regonal income, unemployment rate, and business status as the basic data of these regional policy Therefore we hope much rationalization, scientification, and specialization of administrative affairs by developing the standard statistic which coincides a regional trait.
An Empirical Study on Telemarketing Business(L Insurance Case)
Kim, Yon-Hyong ; Lee, Seok-Won ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 877~891
The purpose in this datamining modeling is to maximize the number of L insurance' new customer selected from the S corp.'s customers through the telemarketing. We demonstrated the superiority of this method by comparing the existing marketing method and campaign result. The used software in this analysis is SAS 9.1 and so on.
A Study on Comparison of Excellence Among of P-Model, E-Model, and GAP-Model
Cho, Yoon-Shik ; Doh, Min-Sun ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 893~901
The disconfirmation paradigm is the earliest researched and the most deeply researched of all the paradigms in marketing. Disconfirmation paradigm deals with the influence of expectation, perceived product performance, and the discord between the two on consumer satisfaction. The GAP-Model is based on the disconfirmation paradigm that tries to understand the effect of the gap between before purchase expectations and after purchase perceptions of the product performance on dependent variables such as customer satisfaction. The purpose of this research is to test whether regression coefficients of a P-Model(performance only model), an E-Model(expectation only model) and GAP(P-E)-Model are equivalent in explaining service value and loyalty. The Chow's F-Test is used to test the excellence of the 3 models. As a result of comparison and analysis, P-Model showed more excellence of service value and loyalty than E-Model or GAP-Model.
Comparative Study of Quantitative Data Binning Methods in Association Rule
Choi, Jae-Ho ; Park, Hee-Chang ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 903~911
Association rule mining searches for interesting relationships among items in a given large database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. Many data is most quantitative data. There is a need for partitioning techniques to quantitative data. The partitioning process is referred to as binning. We introduce several binning methods ; parameter mean binning, equi-width binning, equi-depth binning, clustering-based binning. So we apply these binning methods to several distribution types of quantitative data and present the best binning method for association rule discovery.
A Study on the Categorization of the Strategy Group of Program Provider(PP)
Ryo, Hyon-Chol ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 913~924
The purpose of this study is to categorize Program Provider(PP) outside and inside of the country systematically under the notion that the categorization system of the strategy group for PP is not properly organized. In this paper, not only Commercial PP but also Public PP and Homeshopping PP are also included and PP Company is consistently classified and reorganized as a strategy group in the level of contents, because existing positive study does not entirely deliberate over the characteristics of the PP contents industry inside the country. According to this frame, it is classified into 6 contents group-oriented PP strategy groups using 14 variables including vertical integration, horizontal integration, the sales, advertising revenue, license revenue, total net revenue, the number of employees and history.
Application of k-means Clustering for Association Rule Using Measure of Association
Lee, Keun-Woo ; Park, Hee-Chang ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 925~936
An association rule mining finds the relation among each items in massive volume database. In generating association rules, the researcher specifies the measurements randomly such as support, confidence and lift, and produces the rules. The rule is not produced if it is not suitable to the one any condition which is given value. For example, in case of a little small one than the value which a confidence value is specified but a support and lift's value is very high, this rule is meaningful rule. But association rule mining can not produce the meaningful rules in this case because it is not suitable to a given condition. Consequently, we creat insignificant error which is not selected to the meaningful rules. In this paper, we suggest clustering technique to association rule measures for finding effective association rules using measure of association.
The Anti-hepatotoxic Effect of Ginseng in Rats: Meta-analysis
Kook, Se-Jeong ; Han, Hye-Kyoung ; Kim, Gun-Hee ; Choi, Ki-Heon ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 937~949
The purpose of this meta-analysis was to investigate the anti-hepatotoxic effect of ginseng in rats induced with CC14 or TCDD, the toxicities that cause liver damages. Primary studies were collected from the ScienceDirect database, the DBpia, and the KISS. The data on the effect factors in plasma and in enzyme are listed as many as possible: The effect factors were alanine transaminase(ALT), aspartate transaminase(AST), liver aminopyrine N-demethylase(AD), liver aniline hydroxylase(AH), liver 3,4-Methylenedioxyamphetamine(liver MDA), cytochrome P450(P450), serum alkaline phosphatase(ALP), serum lactate dehydrogenase(LDH), cytochrome b5(Cyto b5), glutathione reductase (GR), Liver glutathione S-transferase(GST), liver glutamyltransferase (GT), Liver(
-GCS), serum liver 3,4-Methylenedioxyamphetamine(serum MDA), serum sorbitol dehydrogenase(SDH), serum total protein(TP), and serum
-GT). In order to investigate the effect of ginseng, the standard mean difference(HG) between the group of rats induced with toxicity(RH) and the group of rats induced with ginseng(RHG) were combined, and the significance of HGs were tested. The combined HGs checked the biases caused by heterogeneity among studies and the publication biases. Then they were adjusted by using the random effect model and trim and fill method. Although the publication biases were assumed, among all plasma factors the HGs of ALT, AST, serum MDA, SDH, TP, and
-GT were significant, and among all enzyme factors the HGs of liver MDA, Cyto b5, GR, GST, and GT were significant. The treatment with ginseng significantly affected the plasma and enzyme levels in rats induced with toxicity.
Estimation for the Half-Triangle Distribution Based on Progressively Type-II Censored Samples
Han, Jun-Tae ; Kang, Suk-Bok ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 951~957
We derive some approximate maximum likelihood estimators(AMLEs) and maximum likelihood estimator(MLE) of the scale parameter in the half-triangle distribution based on progressively Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples. We also obtain the approximate maximum likelihood estimators of the reliability function using the proposed estimators. We compare the proposed estimators in the sense of the mean squared error.
Estimations for a Uniform Scale Parameter in the Presence of a Half-Triangle Outlier
Lee, Chang-Soo ; Kim, Kee-Hwan ; Park, Yang-Woo ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 959~965
We shall propose several estimators for the scale parameter in a uniform distribution with the presence of a half-triangle outlier, and obtain mean squared errors(MSE's) for their proposed estimators. And we shall compare numerically efficiencies for proposed several estimators of the scale parameter in a uniform distribution with the presence of a half-triangle outlier in the small sample sizes.
Estimating Reliability and Distribution of Ratio in two independent Different Variates
Woo, Jung-Soo ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 967~977
We consider densities of quotient Y/X and ratio X/(X+Y), and estimation of reliability P(Y
Continuous Location Tracking Algorithm for Moving Position Data
Ahn, Yoon-Ae ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 979~994
Moving objects are spatio-temporal data that change their location or shape continuously over time. Generally, if continuously moving objects are managed by a conventional database management system, the system cannot properly process the past and future location which is not stored in the database. Up to now, for the purpose of location tracking which is not stored, the linear interpolation to estimate the past location has been usually used. It is suitable for the moving objects on linear route, not curved route. In this paper, we propose a past location tracking algorithm for a moving object on curved routes, and also suggest a future location tracking algorithm using some past location information. We found that the proposed location tracking algorithm has higher accuracy than the linear interpolation function.
Bayesian One-Sided Hypothesis Testing for Shape Parameter in Inverse Gaussian Distribution
Kang, Sang-Gil ; Kim, Dal-Ho ; Lee, Woo-Dong ;
Journal of the Korean Data and Information Science Society, volume 19, issue 3, 2008, Pages 995~1006
This article deals with the one-sided hypothesis testing problem in inverse Gaussian distribution. We propose Bayesian hypothesis testing procedures for the one-sided hypotheses of the shape parameter under the noninformative prior. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the objective Bayesian hypothesis testing procedures based on the fractional Bayes factor, the median intrinsic Bayes factor and the encompassing intrinsic Bayes factor under the reference prior. Simulation study and a real data example are provided.