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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 23, Issue 6 - Nov 2012
Volume 23, Issue 5 - Sep 2012
Volume 23, Issue 4 - Jul 2012
Volume 23, Issue 3 - May 2012
Volume 23, Issue 2 - Mar 2012
Volume 23, Issue 1 - Jan 2012
Selecting the target year
Spatially dependent Parrondo games and stock investments
Cho, Dong-Seob ; Lee, Ji-Yeon ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 867~880
DOI : 10.7465/jkdi.2012.23.5.867
Parrondo paradox is the counter-intuitive situation where individually losing games can combine to win or individually winning games can combine to lose. In this paper, we derive the expected profit per trade for each portfolio when we trade stocks everyday under the spatially dependent Parrondo game rule. Using stock data of KRX (Korea Exchange) from 2008 to 2010, we show that Parrondo paradox exists in the stock trading.
Using rough set to develop the optimization strategy of evolving time-division trading in the futures market
Kim, Hyun-Ho ; Oh, Kyong-Joo ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 881~893
DOI : 10.7465/jkdi.2012.23.5.881
This paper proposes to develop system trading strategy using rough set, decision tree in futures market. While there is a great deal of literature about the analysis of data mining, there is relatively little work on developing trading strategies in futures markets. There are three objectives in this paper. The first objective is to analysis performance of decision tree in rule-based system trading. The second objective is to find proper profitable trading interval. The last objective is to find optimized training period of trading rule training. The results of this study show that proposed model is useful trading strategy in foreign exchange market and can be desirable solution which gives lots of investors an important investment information.
A study on the effects of a 12-week compound exercise program on obese middle school girls` leptin and insulin levels
Lee, Seon-Ik ; Cho, Young-Seuk ; Yang, Jeong-Ok ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 895~904
DOI : 10.7465/jkdi.2012.23.5.895
This study aims to examine the effects of a 12-week compound exercise program (aerobic exercise+weight training) on obese middle school girls` leptin and insulin before and after the exercise. This is achieved by dividing obese middle school girls whose body fat percentage is over 30% into a compound exercise group (n
Development of Bayes` rule education tool with Excel Macro
Choi, Hyun-Seok ; Ha, Jeong-Cheol ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 905~912
DOI : 10.7465/jkdi.2012.23.5.905
We are dealing with the Bayes` rule education tool with Excel Macro and its usage example. When an event occurs, we are interested in whether it does under certain conditions or not. In this case, we use the Bayes` rule to calculate the probability. Bayes` rule is very useful in making decision based on newly obtained statistical information. We introduce an efficient self-teaching educational tool developed to help the learners understand the Bayes` rule through intermediate steps and descriptions. The concept and examples of intermediate steps such as conditional probability, multiplication rule, law of total probability, prior probability and posterior probability could be acquired through step-by-step learning. All the processes leading to result are given with diagrams and detailed descriptions. By just clicking the execution button, users could get the results in one screen.
Estimating the benefit of constructing the international horse riding arena at Sangju
Jeong, Ki-Ho ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 913~925
DOI : 10.7465/jkdi.2012.23.5.913
This study evaluates the economic benefit of the project constructing the international riding arena having been built at Sangju in Gyeongsangbuk-Do by the willingness to pay (WTP) of residents in the province. As the evaluation method, the dichotomous choice contingent valuation method (CVM) is adopted with the additional questions of whether his/her WTP is zero, to improve the statistical accuracy of evaluation results. Considering the arena`s administrative location, the population of the surveys for analysis is confined to residents of Daegu and Gyeongsangbuk-do. The survey is conducted through personal interviews. It turns out that the WTP per household per year is evaluated as 1,847 won and the total yearly benefit of the Sangju international horse riding arena is estimated as 3.56 billion won.
Study on application of information and communication technology in special education
Han, Dong-Wook ; Kang, Min-Chae ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 927~937
DOI : 10.7465/jkdi.2012.23.5.927
We conducted a survey methodology to study current state of Information & Communication Technology (ICT) application for teachers in special education. The analysis of 103 sample data shows the media type and usage frequency, the reason of ICT application, the awareness of ICT training program necessity and the detail training program. We divided two groups by work experience in education based on time when ICT curriculum adapted in special education department. The several differences of ICT usage and skill levels in managing ICT of two groups are statistically significant.
Negatively attributable and pure confidence for generation of negative association rules
Park, Hee-Chang ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 939~948
DOI : 10.7465/jkdi.2012.23.5.939
The most widely used data mining technique is to explore association rules. This technique has been used to find the relationship between items in a massive database based on the interestingness measures such as support, confidence, lift, etc. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control.In general, association rule technique generates the rule, `If A, then B.`, whereas negative association rule technique generates the rule, `If A, then not B.`, or `If not A, then B.`. We can determine whether we promote other products in addition to promote its products only if we add negative association rules to existing association rules. In this paper, we proposed the negatively attributable and pure confidence to overcome the problems faced by negative association rule technique, and then we checked three conditions for interestingness measure. The comparative studies with negative confidence, negatively pure confidence, and negatively attributable and pure confidence are shown by numerical examples. The results show that the negatively attributable and pure confidence is better than negative confidence and negatively pure confidence.
The guideline for choosing the right-size of tree for boosting algorithm
Kim, Ah-Hyoun ; Kim, Ji-Hyun ; Kim, Hyun-Joong ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 949~959
DOI : 10.7465/jkdi.2012.23.5.949
This article is to find the right size of decision trees that performs better for boosting algorithm. First we defined the tree size D as the depth of a decision tree. Then we compared the performance of boosting algorithm with different tree sizes in the experiment. Although it is an usual practice to set the tree size in boosting algorithm to be small, we figured out that the choice of D has a significant influence on the performance of boosting algorithm. Furthermore, we found out that the tree size D need to be sufficiently large for some dataset. The experiment result shows that there exists an optimal D for each dataset and choosing the right size D is important in improving the performance of boosting. We also tried to find the model for estimating the right size D suitable for boosting algorithm, using variables that can explain the nature of a given dataset. The suggested model reveals that the optimal tree size D for a given dataset can be estimated by the error rate of stump tree, the number of classes, the depth of a single tree, and the gini impurity.
A method for selecting the evaluation index of defence R&D project by AHP
Park, Seong ; Hong, Yeon-Woong ; Na, Joong-Kyung ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 961~970
DOI : 10.7465/jkdi.2012.23.5.961
To evaluate companies that participated in the defense R&D project, 27 variables are chosen through literature survey, feature analysis of defense R&D and interviews with military experts. 17 variables are selected after factor analysis which is applied to reduce the number of variables and to detect structure in the relationships among variables, that is to classify variables using Likert-type scales. And then 17 variables are prioritized by AHP (analytic hierarchy process) method. It is shown that communication skill & cooperation strategy, level of technology, possession of needs technology have high priorities. However, protection plan of technology leakage, expertise of subcontractors, software development plan have low priorities.
Development of a R function for visualizing statistical information on Google static maps
Han, Kyung-Soo ; Park, Se-Jin ; Ahn, Jeong-Yong ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 971~981
DOI : 10.7465/jkdi.2012.23.5.971
Google map has become one of the most recognized and comfortable means for providing statistical information of geographically referenced data. In this article, we introduce R functions to embed google map images on R interface and develop a function to represent statistical graphs such as bar graph, pie chart, and rectangle graph on a google map images.
A study on 3-step complex data mining in society indicator survey
Cho, Kwang-Hyun ; Park, Hee-Chang ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 983~992
DOI : 10.7465/jkdi.2012.23.5.983
Social indicator survey can identify the state of society as a whole. When we create a policy, social indicator survey can reflect the public opinion of the region. Social indicator survey is an important measure of social change. Social indicator survey has been conducted in many municipalities (Seoul, Incheon, Busan, Ulsan, Gyeongsangnamdo, etc.). But, the result of social indicator survey analysis is mainly the basic statistical analysis. In this study, we propose a new data mining methodology for effective analysis. We propose a 3-step complex data mining in society indicator survey. 3-step complex data mining uses three data mining method (intervening association rule, clustering, decision tree).
Estimating the determinants of victory and defeat through analyzing records of Korean pro-basketball
Kim, Sae-Hyung ; Lee, Jun-Woo ; Lee, Mi-Sook ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 993~1003
DOI : 10.7465/jkdi.2012.23.5.993
The purpose of this study was to estimate the determinants of victory and defeat through analyzing records of Korean men pro-basketball. Statistical models of victory and defeat were established by collecting present basketball records (2010-2011, 2011-2012 season). Korea Basketball League (KBL) informs records of every pro-basketball game data. The six offence variables (2P%, 3P%, FT%, OR, AS, TO), and the four defense variables (DR, ST, GD, BS) were used in this study. PASW program was used for logistic regression and Answer Tree program was used for the decision tree. All significance levels were set at .05. Major results were as follows. In the logistic regression, 2P%, 3P%, and TO were three offense variables significantly affecting victory and defeat, and DR, ST, and BS were three significant defense variables. Offensive variables 2P%, 3P%, TO, and AS are used in constructing the decision tree. The highest percentage of victory was 80.85% when 2P% was in 51%-58%, 3P% was more than 31 percent, and TO was less than 11 times. In the decision tree of the defence variables, the highest percentage of victory was 94.12% when DR was more than 24, ST was more than six, and BS was more than two times.
The influence of smartphone addiction on mental health, campus life and personal relations - Focusing on K university students
Choi, Hyun-Seok ; Lee, Hyun-Kyung ; Ha, Jeong-Cheol ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 1005~1015
DOI : 10.7465/jkdi.2012.23.5.1005
Since the smartphone was first released in 2009, its common use has made everyday life convenient but caused many social problems. In this article, we surveyed the status of smartphone usage and identified the influence of smartphone addiction on mental health, campus life and personal relations of university students. We gave the methods to prevent smartphone addiction, which could be used as basic materials for solving the problems. We found the smartphone addiction syndrome cause problems of mental health, campus life and personal relations in many ways. In addition to significant direct effects, smartphone addiction has significant indirect effects on personal relations via mental health and campus life as a medium.
Estimating the reliability and distribution of ratio in two independent variables with different distributions
Yun, Sang-Un ; Lee, Chang-Soo ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 1017~1025
DOI : 10.7465/jkdi.2012.23.5.1017
We consider estimations for the reliability in two independent variables with Pareto and uniform or exponential distributions. And then we compare the mean squared errors of two reliability estimators for each case. We also observe the skewness of densities of the ratio for each case.
An accelerated Levenberg-Marquardt algorithm for feedforward network
Kwak, Young-Tae ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 1027~1035
DOI : 10.7465/jkdi.2012.23.5.1027
This paper proposes a new Levenberg-Marquardt algorithm that is accelerated by adjusting a Jacobian matrix and a quasi-Hessian matrix. The proposed method partitions the Jacobian matrix into block matrices and employs the inverse of a partitioned matrix to find the inverse of the quasi-Hessian matrix. Our method can avoid expensive operations and save memory in calculating the inverse of the quasi-Hessian matrix. It can shorten the training time for fast convergence. In our results tested in a large application, we were able to save about 20% of the training time than other algorithms.
Multivariate control charts for monitoring correlation coefficients in dispersion matrix
Chang, Duk-Joon ; Heo, Sun-Yeong ;
Journal of the Korean Data and Information Science Society, volume 23, issue 5, 2012, Pages 1037~1044
DOI : 10.7465/jkdi.2012.23.5.1037
Multivariate control charts for effectively monitoring every component in the dispersion matrix of multivariate normal process are considered. Through the numerical results, we noticed that the multivariate control charts based on sample statistic
by Hotelling or
by Alt do not work effectively when the correlation coefficient components in dispersion matrix are increased. We propose a combined procedure monitoring every component of dispersion matrix, which operates simultaneously both control charts, a chart controlling variance components and a chart controlling correlation coefficients. Our numerical results show that the proposed combined procedure is efficient for detecting changes in both variances and correlation coefficients of dispersion matrix.