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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 20, Issue 6 - Nov 2009
Volume 20, Issue 5 - Sep 2009
Volume 20, Issue 4 - Jul 2009
Volume 20, Issue 3 - May 2009
Volume 20, Issue 2 - Mar 2009
Volume 20, Issue 1 - Jan 2009
Selecting the target year
A study on the behavior of cosmetic customers
Cho, Dae-Hyeon ; Kim, Byung-Soo ; Seok, Kyung-Ha ; Lee, Jong-Un ; Kim, Jong-Sung ; Kim, Sun-Hwa ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 615~627
In micro marketing promotion, it is important to know the behavior of customers. In this study we are interested in the forecasting of repurchase of customers from customers' behavior. By analyzing the cosmetic transaction data we derive some variables which play an important role in the knowledge of the customers' behavior and in the modeling of repurchase. As modeling tools we use the decision tree, logistic regression and neural network model. Finally we decide to use the decision tree as a final model since it yields the smallest RASE (root average squared error) and the greatest correct classification rate.
A study on individual achievement index of foreign language ability
Chang, Duk-Joon ; Heo, Sun-Yeong ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 629~637
This study suggests two types of indices to evaluate individual student's achievement of foreign language abilities between two time points. One, named uniform achievement index, is defined as the ratio of additional score between two time points to the total score range of a test. The second one, named relative achievement index, is defined as the ratio of additional scores between two time points to the remaining score at the base time point to the full score if the score is improved during the given period of time, and if not, is defined as the ratio of the amount of losing scores to the difference of the score at the base time point from the least score of the test. Two indices are both having values between -1 to 1, and easy to interpret. Also, they are eligible to compare scores from different tests at the same time. However, relative achievement index will be more useful to compare student having different base scores because it is consider each student's test score at the base time.
Selection of the principal genotype with genetic algorithm
Lee, Jae-Young ; Goh, Jin-Young ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 639~647
From development of computer science, genetic algorithm has been applied to many fields for search like non-linear problem based on various variables and optimization process. Among others, in the data mining field, there are methods to select the best input variables for model accuracy and various predict models which were merged by using the genetic algorithm. In the meantime, to improve and preserve quality of the Hanwoo (Korean cattle) which is represented the agricultural industry in our country, we need to find out outstanding economical traits of Hanwoo in having specific genotype of single nucleotide polymorphism (SNP) which is inherited to next generation. According to, This research proposed the selecting method to find genotype of SNPs marker which affects economical traits of the Hanwoo by using the genetic algorithm. And we selected the best genotypes of the principal SNPs marker by applying to real data on Hanwoo genetic.
Predicting an soil temperature in Daegu area
Kim, Dong-Seok ; Hong, Soo-Jin ; Park, Jun-Pyo ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 649~654
Soil temperature is an important tool in predicting a change of climate and agricultural environment together with the change of atmospheric temperature. In this paper, we examine changing patterns of soil temperature measured in 0.5m under ground from 1932 to 1990 and atmospheric temperature from 1961 to 2008, and derive a relationship between atmospheric temperature and soil temperature. Using this model, we predict unmeasured soil temperature in Daegu area and soil temperature is found to be increasing about
per a year. Prediction of soil temperature is an important indicator for climate change in Daegu and will be useful information to help us take precautions for global warming, etc.
Study on the causality between call rate and exchange rate under global economic crisis
Shin, Yang-Gyu ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 655~660
As the global economic crisis, the Korean foreign exchange market appears unstable with large fluctuations in exchange rate. Inevitably, there is growing attention on price variables such as exchange rate and interest rates and also on corelation between the factors. This is an empirical study on the causality of fluctuation between exchange rate and interest rate in the Korean market under global economic crisis. The fluctuations in won/dollar exchange rate and call rate are described and followed by analysis of lead-lag relationship between the two variables using Cross-correlation function and Granger causality test.
The effects of mat and field exercise on the balance and gait in older adults
Lee, Su-Yeon ; Ma, Sang-Yeol ; Cho, Gyo-Young ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 661~672
This study was conducted to investigate whether mat exercise and field exercise have effectiveness on the balance and gait in older adults. Thirty subjects were participated in this study. And they were all randomly divided into mat exercise and field exercise group. To evaluate the effects of mat and field exercise, subjects were evaluated by using One Leg Stand test which was static balance test, and Berg Balance test which was dynamic balance test. Finally Gait pattern was assessed by using 3-dimensional gait analysis system. The assessment parameters were evaluated before, after 3 weeks, and after 6 weeks treatments. And we received a consent form from all subjects. The results of repeated measures analysis of variance showed that One Leg Stand, Berg Balance, Stride length, Cadence, Velocity were significantly increased after than before exercise in both groups. So we conclude that therapeutic exercise that is mat and field exercise has effectiveness on the balance and gait in older adults.
An empirical study on telemarketing efficiency at life insurance
Koh, Bong-Sung ; Lee, Seok-Won ; Heo, Jeong ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 673~684
Lower Prices are offered through sales by telemarketing. This is to serve our customers by the fastest and most appropriate referral product that is most important to attract insurance. Therefore, Considering the time the customer's preferred products and preferred customer for screening and targeting, depending on what is the difference between the premiums. This study of the logistic regression model using datamining techniques, the life insurance companies in outbound telemarketing to support sales of the effect you want to validate. To join existing life insurance companies for the customer response and sales strategy based on the L segment and by age group, family-love insurance, accident insurance, and cancer insurance were in progress for the modeling. Set model based on the progress of the campaign to existing customers marketing methods and how to extract and run the model results has proven the superiority of the model. In addition, over time, depending on the aging model is set to a decline in operating profit to maximize the profits th update the model which was derived.
Forecasting number of student by Holt-Winters additive model
Kim, Jong-Tae ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 685~694
The idea of this paper is to get the time series data from the number of student on the elementary, meddle and high-school for the forecasting of the numbers of student. Tow models, model A and model B, of time series data are obtained. The Holt-Winters additive methods are used for the forecasting of the numbers of student with the model A and model B until 2019 year. As the result, the abilities of forecasting on model A and B are better than those of the Korean education statistical system 2007.
Attribute analysis for cellular phone using conjoint analysis
Ji, Hye-Young ; Cho, Wan-Hyun ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 695~703
Currently, various cellular phone products with multiple functions and diverse designs are coming out in the cellular phone market. Companies have been developing their products for profit maximization, considering preferences of customers. In this article, we have created 18 profiles using the SPSS program and executed a survey to analyze preferences of college students. Also, we have grasped the relative importance of each attribute using conjoint analysis and executed clustering analysis to make market segmentation by binding the respondents who have similar partial value utilities. Lastly, by choice simulation, we have predicted market shares of 18 virtual products.
Fuzzy histogram in estimating loss distributions for operational risk
Pak, Ro-Jin ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 705~712
Histogram is the oldest and most widely used density estimator for presentation and exploration of observed univariate data. The structure of a histogram really depends on the number of bins and the width of the bins, so that slight changes on bins can produce totally different shape of a histogram. In order to solve this problem the fuzzy histogram was introduced and the result was good enough (Loquin and Strauss, 2008). In particular, when estimating loss distribution related with operational risk a histogram has been widely used. In this article, instead of an ordinary histogram we try to use a fuzzy histogram for estimating loss distribution and show that a fuzzy histogram provide more stable results.
An analysis of the factors influencing satisfaction, reliance, and loyalty to the life insurance companies
Kang, Jung-Chul ; Jung, Se-Chang ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 713~717
The purpose of this paper is to analyse the factors influencing satisfaction, reliance, and loyalty to the life insurance companies. The factors are divided into two categories: the characteristics of life insurance companies and sellers. Factor analysis and multiple regression is employed. Two factors are found in the analysis of the characteristics of life insurance companies. Those are quality and social liability of life insurance companies. One factor are extracted from the analysis of the characteristics of sellers. We also find each one factor in the factor analysis of satisfaction, reliance, and loyalty. The findings are summarized as follows. Firstly, the role of sellers are very important for the three performance variables, namely satisfaction, reliance, and loyalty. Secondly, the factor for social liability of life insurance companies is statistically significant to the satisfaction performance. Finally, The three explaining variables are statistically significant to the reliance and loyalty performance.
The exponentiated extreme value distribution
Cho, Young-Seuk ; Kang, Suk-Bok ; Han, Jun-Tae ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 719~731
This paper deals with properties of the exponentiated extreme value distribution. We derive the approximate maximum likelihood estimators of the scale parameter and location parameter of the exponentiated extreme value distribution based on multiply Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples.
Estimations in a skewed uniform distribution
Son, Hee-Ju ; Woo, Jung-Soo ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 733~740
We obtain a skewed uniform distribution by a uniform distribution, and evaluate its coeffcient of skewness. And we obtain the approximate maximum likelihood estimator (AML) and moment estimator of skew parameter in the skewed uniform distribution. And we compare simulated mean squared errors (MSE) of those estimators, and also compare MSE of two proposed reliability estimators in two independent skewed uniform distributions each with different skew parameters.
Variable sampling interval control charts for variance-covariance matrix
Chang, Duk-Joon ; Shin, Jae-Kyoung ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 741~747
Properties of multivariate Shewhart and EWMA (Exponentially Weighted Moving Average) control charts for monitoring variance-covariance matrix of quality variables are investigated. Performances of the proposed charts are evaluated for matched fixed sampling interval (FSI) and variable sampling interval (VSI) charts in terms of average time to signal (ATS) and average number of samples to signal (ANSS). Average number of swiches (ANSW) of the proposed VSI charts are also investigated.
Sparse kernel classication using IRWLS procedure
Kim, Dae-Hak ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 749~755
Support vector classification (SVC) provides more complete description of the lin-ear and nonlinear relationships between input vectors and classifiers. In this paper. we propose the sparse kernel classifier to solve the optimization problem of classification with a modified hinge loss function and absolute loss function, which provides the efficient computation and the sparsity. We also introduce the generalized cross validation function to select the hyper-parameters which affects the classification performance of the proposed method. Experimental results are then presented which illustrate the performance of the proposed procedure for classification.
Bootstrap confidence intervals for classification error rate in circular models when a block of observations is missing
Chung, Hie-Choon ; Han, Chien-Pai ;
Journal of the Korean Data and Information Science Society, volume 20, issue 4, 2009, Pages 757~764
In discriminant analysis, we consider a special pattern which contains a block of missing observations. We assume that the two populations are equally likely and the costs of misclassification are equal. In this situation, we consider the bootstrap confidence intervals of the error rate in the circular models when the covariance matrices are equal and not equal.