Chaiwuttisak, Pornpimol
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Item type:Publication, Analysis of accidental deaths during songkran festival using data mining(2019-01-01)The objective of this research is to analyse the deaths of people during Songkran holidays and to develop a model for the classification of deaths caused by road accidents. Data used in this research studies including Injuries and the loss of life in the accident between 2008 and 2014, a total of 2,875 people from the database of the Digital Government Development Office. The statistics used in the hypothesis testing are the Chi-square test statistic, Independent variables are behavior factors: drinking, not wearing a helmet, physical environmental factors such as the time when the road accident occurs, the type of road that caused the accident and the dependent variable was the death and injured person. The hypothesis testing at the significance level of 0.05 showed that all variables are associated with death during Songkran holidays. In addition, data mining techniques are applied to this research. Decision Tree, Bayesian Learning, Logistic Regression and Neural Network are applied to identify deaths described by a set of attributes and compare the accuracy of data classification with various data mining techniques. As the result, it was found that logistic regression can be correctly classified higher than other classification techniques with a precision of 72.20%. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Factors affecting efficiency of police stations in metropolitan police division 3(2019-07-08)The objective of this research is to evaluate the relative performance efficiency and determine the factors affecting the efficiency of 11 police stations in the Metropolitan Police Division 3. The first stage is to analyze the efficiency of the police station by Data Envelopment Analysis (DEA) that measures the variable return to scale (VRS) and considering output-orientation. Input variable is the number of police officers. Output variables are the percentage of arrests with remand in custody, from the total amount of arrests, the percentage of arrests with remand in traffic offences, from the total amount of traffic offences, an average score of people’s satisfaction on facilities of the police station, operational processes and the service of the staffs. Secondary data are collected from 11 police stations during January and December 2017, for a total of one year. Primary data, which are the satisfaction score, are obtained from the sample survey. For the second stage, the factors affecting the performance efficiency of the police station are analyzed using multiple regression analysis. The efficient score calculated in the first stage is defined as the dependent variable. The results show that 4 police stations or 36% pure are technically efficient and there is only one police station (or 9%) with scale efficiency. In addition, the population density within the area responsible for the police station has affected the pure technical efficiency of the police station. The number of community resources within the area responsible for the police station has an effect on the scale efficiency of the police station. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Measuring Efficiency of Thailand’s Football Premier Leagues Using Data Envelopment Analysis(2019-01-01)Football is considered one of the most popular sports in Thailand and has high influence on the nation economy. Thai Premier League is football competition at the top of Thai football league system. The objective of the paper is to evaluate both sportive and financial efficiency of football clubs in Thai Premier League during 2014–2015 football seasons with Data Envelopment Analysis (DEA) model: CCR DEA and super-efficiency DEA. We consider four input factors: the stadium capacity, the capital Investment, the administrative expenses. Nine output variables investigated on the efficiency of football clubs are the number of supportive attendances, the total score in 2015, the total revenues, net assets, the number of trophies, the qualification for AFC for the last and the next season, the qualification for Thai Premier League for the last and the next season. The results show that two football clubs are not efficient. Later, it is found that both football clubs mentioned are relegated to lower league in the next competition 2016/2017. This evidence illustrates that super-efficiency DEA models can be successively to distinguish the efficient clubs and rank the football clubs in Thai Premier League. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Forecasting export value in the automobile industry(2018-06-20)The study aims to investigate the appropriate time series techniques for forecasting export values of cars and auto parts (Million Baht). The monthly data are gathered from the website of Ministry of Commerce from January 2010 to December 2017. The data are divided to two datasets. One dataset during January 2010 and December 2016 is consists of 84 observations which is used for build the forecasting model by using Winters' Additive Exponential Smoothing and Box- Jenkins. Another dataset between January 2017 and December 2017 are used for comparing forecast accuracy based on the lowest value of Mean Absolute Deviation (MAD) and Mean Absolute Percent Error (MAPE) and selecting the most appropriate forecasting model. The result shows that Box- Jenkins is the best method for this time series data. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Biclustering similarity measures for heterogeneous data(2018-09-26); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Measuring efficiency of Thailand's football premier leagues using data envelopment analysis(2018-06-20)Football is considered one of the most popular sports in Thailand and has high influence on the nation economy. Thai Premier League is football competition at the top of Thai football league system. The objective of the paper is to evaluate both sportive and financial efficiency of football clubs in Thai Premier League during 2014-2015 football seasons with Data Envelopment Analysis (DEA) model: CCR DEA and super- efficiency DEA. We consider three input factors: the stadium capacity, the capital Investment, the administrative expenses. Nine output variables investigated on the efficiency of football clubs are the number of supportive attendances, the total score in 2015, the total revenues, net assets, the number of trophies, the qualification for AFC for the last and the next season, the qualification for Thai Premier League for the last and the next season. The results show that two football clubs are not efficient. Later, it is found that both football clubs mentioned are relegated to lower league in the next competition 2016/2017. This evidence illustrates that super-efficiency DEA models can be successively to distinguish the efficient clubs and rank the football clubs in Thai Premier League. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Factors affecting efficiency of police stations in Metropolitan Police Division 3(2019-01-01)The objective of this research is to evaluate the relative performance efficiency and determine factors affecting the efficiency of 11 police stations in the Metropolitan Police Division 3. The first stage is to analyze the efficiency of the police station by Data Envelopment Analysis (DEA) that measures the variable return to scale (VRS) and considering output-orientation. Input variable is the number of police officers. Output variables are the percentage of arrests with remand in custody, the percentage of arrests with remand in traffic offences, average score of people's satisfaction on facilities of the police station, operational processes and service of staffs. For the second stage, factors affecting the performance efficiency of the police station are analyzed using multiple regression analysis. Efficient score calculated in the first stage is defined as the dependent variable. The results show that 4 police stations are technically efficient and there is only one police station with scale efficiency. In addition, the population density within the area responsible for the police station has affected the pure technical efficiency of the police station. The number of community resources within the area responsible for the police station has an effect on the scale efficiency of the police station.