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IIJIT:Volume 6, Issue 6, June 2018
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Title: |
A Study on Stress and Coping among Parents and Students using Statistical and Data Mining Techniques
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Author Name: |
V.RAMESH |
Abstract: |
ABSTRACT: Parents are often faced with managing a busy schedule including job related responsibilities, household
duties and preparing their children to school. These demands occasionally result in parenting stress. Parenting stress
is associated with both parenting behaviours and child adjustment. The main objective of this study is to explore the
subjective experiences of families of school going children, specifically the sources of stress and coping for these
families. Interviews were conducted with families to shed light on their subjective experiences of coping and stress.
This study aims to apply data mining techniques to predict the sources of parent’s stress and children’s stress. Data
are received by well set of questionnaire. Attributes are selected with chi squared attribute selection and ranker
algorithm. J48 and FT algorithm are used to classify the stress sources. Apriori algorithm is used to find stress sources
with best rule. Parent and children data set are clustered by five groups using Simplekmeans algorithm. Attribute
selection, Classification, Association and Cluster analysis are done in WEKA tool. Frequency analysis and Hypothesis
testing’s done in SPSS tool. There are many coping strategies are found from this study.
Key Words : Child Stress, Data Mining, Parents Stress, Stress Management |
Cite this article: |
V.RAMESH , "
A Study on Stress and Coping among Parents and Students using Statistical and Data Mining Techniques
" , IPASJ INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY (IIJIT) ,
Volume 6, Issue 6, June 2018 , pp.
001-006 , ISSN 2321-5976.
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