• Title/Summary/Keyword: 다중희귀분석

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Performance Analysis of Frequent Pattern Mining with Multiple Minimum Supports (다중 최소 임계치 기반 빈발 패턴 마이닝의 성능분석)

  • Ryang, Heungmo;Yun, Unil
    • Journal of Internet Computing and Services
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    • v.14 no.6
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    • pp.1-8
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    • 2013
  • Data mining techniques are used to find important and meaningful information from huge databases, and pattern mining is one of the significant data mining techniques. Pattern mining is a method of discovering useful patterns from the huge databases. Frequent pattern mining which is one of the pattern mining extracts patterns having higher frequencies than a minimum support threshold from databases, and the patterns are called frequent patterns. Traditional frequent pattern mining is based on a single minimum support threshold for the whole database to perform mining frequent patterns. This single support model implicitly supposes that all of the items in the database have the same nature. In real world applications, however, each item in databases can have relative characteristics, and thus an appropriate pattern mining technique which reflects the characteristics is required. In the framework of frequent pattern mining, where the natures of items are not considered, it needs to set the single minimum support threshold to a too low value for mining patterns containing rare items. It leads to too many patterns including meaningless items though. In contrast, we cannot mine any pattern if a too high threshold is used. This dilemma is called the rare item problem. To solve this problem, the initial researches proposed approximate approaches which split data into several groups according to item frequencies or group related rare items. However, these methods cannot find all of the frequent patterns including rare frequent patterns due to being based on approximate techniques. Hence, pattern mining model with multiple minimum supports is proposed in order to solve the rare item problem. In the model, each item has a corresponding minimum support threshold, called MIS (Minimum Item Support), and it is calculated based on item frequencies in databases. The multiple minimum supports model finds all of the rare frequent patterns without generating meaningless patterns and losing significant patterns by applying the MIS. Meanwhile, candidate patterns are extracted during a process of mining frequent patterns, and the only single minimum support is compared with frequencies of the candidate patterns in the single minimum support model. Therefore, the characteristics of items consist of the candidate patterns are not reflected. In addition, the rare item problem occurs in the model. In order to address this issue in the multiple minimum supports model, the minimum MIS value among all of the values of items in a candidate pattern is used as a minimum support threshold with respect to the candidate pattern for considering its characteristics. For efficiently mining frequent patterns including rare frequent patterns by adopting the above concept, tree based algorithms of the multiple minimum supports model sort items in a tree according to MIS descending order in contrast to those of the single minimum support model, where the items are ordered in frequency descending order. In this paper, we study the characteristics of the frequent pattern mining based on multiple minimum supports and conduct performance evaluation with a general frequent pattern mining algorithm in terms of runtime, memory usage, and scalability. Experimental results show that the multiple minimum supports based algorithm outperforms the single minimum support based one and demands more memory usage for MIS information. Moreover, the compared algorithms have a good scalability in the results.

Convergence Study on the Effects of Stress and Gambling Change Motivation on Gambling Abstinence Self-Efficacy among College Students Using Gambling (대학생 도박경험자의 스트레스 및 도박변화동기가 단도박 자기효능감에 미치는 융복합 영향 연구)

  • Choi, Jung-Hyun;Kim, Jeong-Suk;Kim, Seong-Ui
    • Journal of Convergence for Information Technology
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    • v.9 no.6
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    • pp.19-25
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    • 2019
  • This study was attempted to identify the convergence factors that affected the gambling abstinence self-efficacy among college students using gambling. The participants were 134 students with gambling experience at two universities in C city and G city. The results of this study are as follows. Stress(r=-.314, p<.001) and gambling change motivation(r=.272, p=.001) showed a significant correlation with gambling abstinence self-efficacy in correlation analysis. The greatest influence on gambling abstinence self-efficacy in multiple regression analysis was identified in order of stress(${\beta}=-.29$, p<.001), gambling change motivation (${\beta}=.25$, p=.003). The results of this study suggest that a gambling prevention education program which can manage stress and strengthen the gambling change motivation of college students using gambling is needed to improve the gambling abstinence self-efficacy.

Credit Use & Financial Satisfaction (신용사용과 경제적 만족도)

  • Lown, Jean M.;Ju, In-Sook
    • Journal of Families and Better Life
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    • v.9 no.1 s.17
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    • pp.179-186
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    • 1991
  • 본 연구는 미국 Utah주의 Logan시에 있는 유타주립대하(USU)Credit Union의 멤버들을 대상으로, 신용사용과 신용에 대한 태도가 그들의 경제적 만족도와 어느정도 관련이 있는지를 조사하였다. 연구는 1989년 3월에서 5월까지 걸쳐 USU Credit Union의 지원으로 이루어졌으며, 자료는 21세에서 65세까지의 멤버들 중 500명을 임의 추출하여 설문지 조사를 실시하여(설문지는 본 연구를 위한 문항과 Credit Union 멤버 Survey문항이 함께 이루어졌다) 그중 274명(54.8%)으 답변이 자료분석에 사용되었다. 대부분의 사람들은 집이나 차, 또는 교육비, 의료비에 신용을 사용하는데 긍정적 태도를 보였으며, 반수 이상의 사람들이 신용을 사용함으로써 수수료 또는 이자를 지불하고 있었다. 월평균 신용 납부액은 $643이였으며, 반수 이상의 응답자가 그들의 신용차입액에 대해 걱정하고 있는 반면, 4.4%의 응답자만이 신용을 사용하지 않고 있다고 대답했다. t-테스트, 변량분석, 그리고 상관관계 분석에 의해 경제적 만족도와 의미있는 관계를 가지고 있는 요인들이 단계별 다중 희귀분석에 이용되었는데, 그 결과 사람들의 신용부담액에 대한 근심도가 그 어느것보다도 경제적 만족도와 강하게 연관되어 있는 것으로 나타났다. 이는 과거의 조사들이 가정의 빚, 즉 신용부담액과 수입에 대한 비율로써 가정의 경제적 만족정도(financial well-being)를 측정해온 것에 반한 사실로서, 경제적 만족도는 개인의 주관적 측정인 신용부담액에 대한 근심도와 큰 관련이 있음을 보여주었다.

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The Structural Model Suicidal Ideation in Elderly Living Alone (독거노인의 자살생각에 대한 구조모형 분석)

  • Kim, Jeong-Suk
    • Journal of Convergence for Information Technology
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    • v.8 no.2
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    • pp.29-36
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    • 2018
  • This study was conducted to analyze the model of suicide ideation in the elderly living alone. This study is a descriptive research study of 300 elderly living alone in C-region. It is a frequency analysis, correlation analysis, simple rare analysis. AMOS statistics were performed. Data collection was from October 1, 2016 to December 31, 2016. The results of this study are as follows. Family support has a direct effect on suicidal ideation(need for suicide ${\beta}=-.362$, p=.000, negative attitudes toward life ${\beta}=-.259$, p=.001). The results of this study suggest that strengthening the family support and social activities of the elderly living alone reduces the suicidal ideation and builds the social safety net, which leads to the emotional stability and the related policy establishment.

Application of Multiple Linear Regression Analysis and Tree-Based Machine Learning Techniques for Cutter Life Index(CLI) Prediction (커터수명지수 예측을 위한 다중선형회귀분석과 트리 기반 머신러닝 기법 적용)

  • Ju-Pyo Hong;Tae Young Ko
    • Tunnel and Underground Space
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    • v.33 no.6
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    • pp.594-609
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    • 2023
  • TBM (Tunnel Boring Machine) method is gaining popularity in urban and underwater tunneling projects due to its ability to ensure excavation face stability and minimize environmental impact. Among the prominent models for predicting disc cutter life, the NTNU model uses the Cutter Life Index(CLI) as a key parameter, but the complexity of testing procedures and rarity of equipment make measurement challenging. In this study, CLI was predicted using multiple linear regression analysis and tree-based machine learning techniques, utilizing rock properties. Through literature review, a database including rock uniaxial compressive strength, Brazilian tensile strength, equivalent quartz content, and Cerchar abrasivity index was built, and derived variables were added. The multiple linear regression analysis selected input variables based on statistical significance and multicollinearity, while the machine learning prediction model chose variables based on their importance. Dividing the data into 80% for training and 20% for testing, a comparative analysis of the predictive performance was conducted, and XGBoost was identified as the optimal model. The validity of the multiple linear regression and XGBoost models derived in this study was confirmed by comparing their predictive performance with prior research.

A Effect Analysis of the Housing Policy on the Housing Price (주택 ${\cdot}$ 부동산정책이 주택가격에 미치는 영향분석)

  • Noh, Jin-Ho;Han, Suk-Hee;Kim, Bong-Sik;Ko, Hyun;Kwon, Yong-Ho;Kim, Jae-Jun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2006.11a
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    • pp.665-668
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    • 2006
  • After foreign exchange trouble, Korean government became effective an economy-invigorating policy that to raise the housing demand and transaction. In result, the rate economic growth kept up a high growth rate and the market recovered. But an economy-invigorating policy of continuance caused an excessive boom of housing market in the second half of 2001. Therefore Korean government enforced a speculation-restraint policy. But it caused a instability of economics. This study is to analyze the effect between the housing policy and the housing cost and is to apply the basis data of the next housing policy.

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A Converged Study on the Influence on the Depression of Family & Job Stress and Middle aged Men. (중년남성의 가족스트레스와 직무스트레스가 우울에 미치는 융합적 연구)

  • Kim, Jeong-Suk
    • Journal of the Korea Convergence Society
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    • v.9 no.11
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    • pp.561-567
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    • 2018
  • The study was investigate the effect of family stress and job stress on depression in middle man. A questionnaire was completed by 127 C & K city middle aged mans from july 1 to August 20 2018. The data were analyzed by SPSS/WIN 21.0 program, descriptive statistics, ANOVA, t-test, and Pearson correlation coefficient calculation and multiple regression analysis. Differences in family stress job stress depression according to general characteristics of middle-aged men showed significant difference in economic status and old age instability. The variables affecting depression are job stress(${\beta}=0.288$, p<.001), aging anxiety(${\beta}=0.142$, p<.001), economic status(${\beta}=0.035$, p<.001), family stress(${\beta}=0.016$, p<.001). As a way to reduce family stress and job stress, it is necessary to deal with health care and family conflict such as exercise hobby life relaxation.

Schizophrenic Patients Impact on Quality of Life (조현병환자의 삶의 질에 미치는 영향요인 연구)

  • Kim, Jeong-Suk
    • Journal of Convergence for Information Technology
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    • v.8 no.1
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    • pp.53-58
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    • 2018
  • The study was done to compare quality of life by family therapy, self-esteem f teem insight factors which explain quality of life in individuals with schizophrenic patients. A questionnaire survey was conducted with 125 schizophrenia people in C region. The data were analyzed by SPSSWIN 21.0, t-test, ANOVA and Pearson correlation coefficient calculation and multiple regression analysis. The results were as follows. Impact quality of life of clients showed significant difference by religion, support team(p<.05). Quality of life were positively correleated with self-esteem and family support. Multiple regression analysis showed that 49.5% of the self esteem, insight, family support showed the quality of life. Development of programs for strengthening family support and self esteem is required for proper quality of life.

A Converged Study on the Influence on the Suicide of Idea the Elderly Living Alone. (독거노인의 자살생각 영향 요인에 대한 융합연구)

  • Kim, Jeong-Suk
    • Journal of Convergence for Information Technology
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    • v.8 no.5
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    • pp.11-17
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    • 2018
  • This study was conducted to analyze the factor of suicide ideation in the elderly living alone. This study is a descriptive research study of 175 elderly living alone in K&C region. It is a frequency analysis, correlation analysis, simple rare analysis. AMOS statistics were performed. Data collection was from January 2017 to March 2017. The results of this study are as follows. social activity (r=-.106, p<.05), subjective health status (r=-.292, p<.01) Self-esteem (r=-.069, p<.05), mind control(r=-.201, p<.01), and depression(r=.023, p<.01), stress (r=.320, p<.05). Suicidal influence factor 43.5% explanatory power. In order to prevent the suicide of the elderly living alone, It will be necessary to seek active nursing intervention to help prevent suicide.

A Study about the Effects of Education for the Elderly on their Psychological Well-Being (노인교육 참여가 노인의 심리적 안녕감에 미치는 영향)

  • Lee, Jin Hee;Kim, Wook
    • 한국노년학
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    • v.28 no.4
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    • pp.887-905
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    • 2008
  • This study investigated the effects of education for the elderly on their psychological well-being. Loneliness(negative state of emotion) and life satisfaction(positive state of emotion) were compared between participants and non-participants of educational programs for the elderly in order to learn whether participating educational programs influences their psychological well-being. The subjects of this research were 288(146 participants and 142 non participants) elderly who are 60 years and older, living in Seoul City and Gyeong Gi Do. They were selected by the judgmental sampling method and surveyed using structured questionnaire. Research instruments were consisted of the UCLA Loneliness Scale, Life Satisfaction Index-Z Scale(LSIZ) and several background questions. The result showed that the participants of the educational programs had a lower level of loneliness and a higher level of life satisfaction. The educational program for the elderly was effective for the psychological well-being of the aged. Multiple regression results showed that subjective health played the most important role in explaining the loneliness, followed by education level, elderly education participation, financial states. The results also showed that subjective health played the most important role in explaining the life satisfaction, followed by elderly education participation, religious activity participation, financial status. Implications for policy, practice, and further research were discussed.