• Title/Summary/Keyword: negatively pure support

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Proposition of negatively pure association rule threshold (음의 순수 연관성 규칙 평가 기준의 제안)

  • Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.2
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    • pp.179-188
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    • 2011
  • Association rule represents the relationship between items in a massive database by quantifying their relationship, and is used most frequently in data mining techniques. 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 pure association rules by negatively pure support, negatively pure confidence, and negatively pure lift to overcome the problems faced by negative association rule technique. In checking the usefulness of this technique through numerical examples, we could find the direction of association by the sign of the negatively pure association rule measure.

Negatively attributable and pure confidence for generation of negative association rules (음의 연관성 규칙 생성을 위한 음의 기여 순수 신뢰도의 제안)

  • Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.5
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    • pp.939-948
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    • 2012
  • 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.

A Study on the Health Promoting Behaviors Depending on the Response Patterns of HLOC in Korean Adults (한국 성인의 건강통제위 반응유형별 건강증진행위)

  • Gu, Mee-Ock;Eun, Young
    • Journal of Korean Academy of Nursing
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    • v.28 no.3
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    • pp.739-750
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    • 1998
  • The purpose of this study was to identify the response patterns of Health Locus of Control (HLOC) and to analysis of the health promoting behaviors depending on the response patterns of HLOC in Korean adults. The sample was composed of 300 healthy adults ranged from twenties to seventies. In data analysis, SPSS PC/sup +/ program was utilized for descriptive statistics, pearson correlation, ANOVA and cluster analysis. The results of the study were as follows : 1. The average scores of HLOC in Korean were HLOC-I : 24.12(range 6-30), HLOC-P : .21.72, HLOC-C : 17.46. 2. The total mean score of the health promoting behavior scale was 2.50 (range 1-4), and the mean scores on the subscales were ; self actualization 2.60, health responsibility 2.14, exercise 2.28, nutrition 3.16, interpersonal support 2.74, stress management 2.15. 3. The HLOC-I and health promoting behavior were correlated positively(r =0.184, p=0.001), and the HLO-C and the health promoting behavior were correlated negatively(r=-0.102, p=0.039). The HLOC-P and the health promoting behavior weren't correlated in the level of statistical significance. 4. The response patterns of HLOC in Korean adults were identified 6 types, such as pure internal, pure chance, believers in control, yea sayer, nay sayer, and complex control. The type of believers in control and the type of yea sayer were subdivided in two different types. The believers in control was the largest group(33.67%), and yea sayer was the next large group(26.33%). The pure chance and the complex control type was the smallest groups. 5. There was a significant difference in health promoting behavior depending on the response patterns of HLOC(F=2.67, p=0.010). There were also significant differences in 4 subscales of health promoting behavior : self actualization(F=3.12, P=0.003), health responsibility(F=2.15, P=0.038), nutrition(F=5.08, p=0.000), and interpersonal support(F=2.26,p=0.029). These results suggest that the response patterns of HLOC is the important factor to predict the level of health promoting behavior in Korean adults.

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Predictive Factors of Health promotion behaviors of Industrial Shift Workers (산업장 교대근무 근로자의 건강증진행위 예측요인)

  • Kim, Young-Mi
    • Korean Journal of Occupational Health Nursing
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    • v.11 no.1
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    • pp.13-30
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    • 2002
  • Industrial shift workers feels suffer mental stresses which are caused by unfamiliar day sleep, noisy environment, sleeping disorder by bright light, unusual contacts with family, difficulty in meeting with friends or having formal social meetings and other social limitations such as the use of transportation. Such stresses influence health of the workers negatively. Thus the health promotion policy for shift workers should be made considering the workers' ways of living and shift work specially. This study attempted to provide basic information for development of the health promotion program for industrial shift workers by examining predictive factors influencing health promotion behaviors of those workers. In designing the study, three power generation plants located in Pusan and south Kyungsang province were randomly selected and therefrom 280 workers at central control, boiler and turbine rooms and environmental chemistry parts whose processes require shift works were sampled as subjects of the study. Data were collected two times from September 17 to October 8, 1999 using questionnaires with helps of safety and health managers of the plants. The questionnaires were distributed through mails or direct visits. Means for the study included the measurement tool of health promotion behavior provided by Park(1995), the tool of self-efficacy measurement by Suh(1995), the tool of internal locus of control measurement by Oh(1987), the measurement tool of perceived health state by Park(1995) and the tool of social support measurement by Paek(1995). The collected data were analyzed using SPSS program. Controlling factors of the subjects were evaluated in terms of frequency and percentage ratio Perceived factors and health promotion behaviors of the subjects were done so in terms of mean and standard deviation, and average mark and standard deviation, respectively. Relations between controlling and perceived factors were analyzed using t-test and ANOVA and those between perceived factors and the performance of health promotion behaviors, using Pearson's Correlation Coefficient. The performance of health promotion behaviors was tested using t-test, ANOVA and post multi-comparison (Scheffe test). Predictive factors of health promotion behavior were examined through the Stepwise Multiple Regression Analysis. Results of the study are summarized as follows. 1. The performance of health promotion behaviors by the subjects was evaluated as having the value of mean, $161.27{\pm}26.73$ points(min.:60, max.:240) and average mark, $2.68{\pm}0.44$ points(min.:1, max.:4). When the performance was analyzed according to related aspects, it showed the highest level in harmonious relation with average mark, $3.15{\pm}.56$ points, followed by hygienic life($3.03{\pm}.55$), self-realization ($2.84{\pm}.55$), emotional support($2.73{\pm}.61$), regular meals($2.71{\pm}.76$), self-control($2.62{\pm}.63$), health diet($2.62{\pm}.56$), rest and sleep($2.60{\pm}.59$), exercise and activity($2.53{\pm}.57$), diet control($2.52{\pm}.56$) and special health management($2.06{\pm}.65$). 2. In relations between perceived factors of the subjects(self-efficacy, internal locus of control, perceived health state) and the performance of health promotion behaviors, the performance was found having significantly pure relations with self-efficacy (r=.524, P=.000), internal locus of control (r=.225, P=.000) and perceived health state(r=.244, P=.000). The higher each evaluated point of the three factors was, the higher the performance was in level. 3. When relations between the controlling factors(demography-based social, health-related, job-related and human relations characteristics) and the performance of health promotion behaviors were analyzed, the performance showed significant differences according to marital status (t=2.09, P= .03), religion(F=3.93, P= .00) and participation in religious activities (F=8.10, P= .00) out of demography-based characteristics, medical examination results (F=7.20, P= .00) and methods of the collection of health knowledge and information(F=3.41, P= .01) and methods of desired health education(F=3.41, P= .01) out of health-related characteristics, detrimental factors perception(F=4.49, P= .01) and job satisfaction(F=8.41, P= .00) out of job-related characteristics and social support(F=14.69, P= .00) out of human relations characteristics. 4. The factor which is a variable predicting best the performance of health promotion behaviors by the subjects was the self-efficacy accounting for 27.4% of the prediction, followed by participation in religious activities, social support, job satisfaction, received health state and internal locus of control in order all of which totally account for 41.0%. In conclusion, the predictive factor which most influence the performance of health promotion behaviors by shift workers was self-efficacy. To promote the sense, therefore, it is necessary to develop the nursing intervention program considering predictive factors as variables identified in this study. Further industrial nurses should play their roles actively to help shift workers increase their capability of self-management of health.

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