Many researches and analyses have been focused on industrial accidents in order to predict and reduce them. As a similar endeavor, this paper is to develop an expert system for prevention of industrial accidents. Although various previous studies have been performed to prevent industrial accidents, these studies only provide managerial and educational policies using frequency analysis and comparative analysis based on data from past industrial accidents. As an initial step for the purpose of this study, this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. Enterprise Miner of SAS and Answer Tree of SPSS will be used to evaluate the validity of the results of the four algorithms. The sample for this work was chosen from 10,536 data related to manufacturing industries during three years(2002~2004) in korea. The initial sample includes a range of different businesses including the construction and manufacturing industries, which are typically vulnerable to industrial accidents.

The purpose of this study was to measure the pizza purchasing behavioral characteristics of respondents and importances of factors affecting pizza purchase, to estimate the effects of attributes on pizza restaurant choice, and to predict probability of selecting a particular pizza restaurant. The questionnaire consisted of two parts: The paired experimental profiles, purchasing behavior and importances of factors affecting pizza purchase. This study generated profiles of 16 hypothetical pizza restaurant based on the seven attributes. The profiles comprised 16 discrete sets of variables, each of which had two levels. For this study, researcher randomly selected 150 students of university as respondents. Twenty students did not complete the survey instrument, resulting in a final sample size of 129. All estimations were carried out using frequencies, 2, independent samples t-test, phreg procedure of SAS package. The results are as follows. Some purchasing behavioral characteristics and importances of factors affecting pizza purchase were significantly different by gender. Based on the estimated models developed for male student group and female student group, the Chi-square statistics were significant at p〈0.001. The parameter estimate for late delivery time with male student group was highest, and the parameter estimate for price with female student group was highest. The pizza restaurant that charged \20,000, offered 100% discount on eleventh pizza, promised to deliver pizza in 40 mins, usually delivered the pizza as promised time, offered only 1 type of pizza crust, delivered warm pizza, offered the money-back guarantee was favored by each of male student group and female student group. The results from this study suggested that there was an opportunity to increase market share and profit by improving operations so that customers receive discount and money-back guarantee simultaneously, and by reducing price, delivery time.

The purpose of this paper is to investigate English education experts’ current general views on the college English curriculum at Korean provincial universities and elicit their consensus of opinion on the distinctive characteristics of the curriculum. For that purpose, two rounds of the delphi survey were presented to forty experts, with thirty one experts’ responses in the first round and nineteen in the second. Based on their responses, the following characteristics of the Korean college English curriculum for provincial universities were deduced as a consensus of opinion: the curriculum is supposed to be more intensive, practical, proficiency-based, and university-specific than the curriculum for the universities in the Metropolitan area; it is supposed to be English for Specific Purposes (ESP) rather than English for General Purposes (EGP) in order to promote the future career of the individual provincial university students and the competitiveness of the provincial universities themselves.

급속도로 발전하는 산업의 고도화와 이에 따른 업종의 다양화, 이에 동반되는 예상치 못한 산업재해는 불특정 다수에게 인적, 물적 피해를 야기 시키고 있다. 산업재해 예방을 위해 다양한 선행 연구들이 진행되었으나 이들 연구는 기존의 산업재해 데이터를 토대로 빈도분석, 비교분석을 통한 관리적, 교육적 등치 대책만을 제시하고 있다. 본 연구에서는 산업재해 예방을 위해 객관적이고 정량화된 데이터를 통한 예측 분석이 가능한 데이터마이닝을 적용하여 대표적인 기법인 의사결정나무의 CHAID, CART, C4.5, QUEST 4가지 알고리즘 비교분석하여 산업재해 예방 및 전문가 시스템 구축을 위해 적용할 수 있는 최적의 알고리즘을 제시하도록 한다.

Customer needs in food service industry is not only demanding high quality product(food), but also high quality service. Therefore, how to provide high quality service based on customers expectation, and how to design the service systems by food service industry or restaurants are important task. This study is service quality of Korean restaurant customers, it aims analyzes factors influences service quality of food service industry based on the perception of pork-belly specialty restaurants customers. It is expected that there is significant difference according to gender concerning level of satisfaction in service quality of food service industry as a result of analyzing the level of satisfaction for frequency of eating out relatively to the purpose of eating out, and researching the level of satisfaction for service quality of food service industry after visiting the restaurant. Based on such results, solutions that can cope with social, cultural and economical environment of food service industry are suggested. Selection of food service business, samples, and purpose of eating out, which are limits of this study, needs to be studied continuously in the future after diversifying and segmentation.