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Mehrotra, Deepti
- Quality of Life among Female Sex Workers
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Authors
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1 Department of Psychology, University of Lucknow, Lucknow, U.P., IN
1 Department of Psychology, University of Lucknow, Lucknow, U.P., IN
Source
Indian Journal of Health and Wellbeing, Vol 5, No 10 (2014), Pagination: 1222-1224Abstract
The present study endeavourers to cast a glance at the Quality of Life among Female Sex Workers in CREATE (Centre for Rural Entrepreneurship and Technical Education) at Lucknow, with the help of WHO QOL-BREF 1996 questionnaire. Sample comprised of 30 female sex workers selected on the basis of purpose sampling (age ranged 20-30 years). Results revealed poor quality of life of FSW further in terms of domains they were high on psychological and environmental domains of quality of life as compared to physical and social domains.Keywords
Female Sex Worker, Prostitution, Quality of Life.- Comparison of Different Attributes of Authorship Data using Data Mining Approach
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Authors
Affiliations
1 Amity School of Engineering and Technology, Amity University, Amity Campus Sector –125, Noida –201303, Uttar Pradesh, IN
2 School of Computer Science and Information Technology, University of Hyderabad, Central University P.O., Prof. C.R.Rao Road, Gachibowli, Hyderabad–500046, IN
1 Amity School of Engineering and Technology, Amity University, Amity Campus Sector –125, Noida –201303, Uttar Pradesh, IN
2 School of Computer Science and Information Technology, University of Hyderabad, Central University P.O., Prof. C.R.Rao Road, Gachibowli, Hyderabad–500046, IN
Source
Indian Journal of Science and Technology, Vol 9, No 45 (2016), Pagination:Abstract
In recent years, with the rapid increase in Internet usage, the data that has been generated is huge and unstructured. These data can be interpreted with various techniques of Data Mining. Many useful patterns can be extracted from these trends. Classifying these data into meaningful analysis is the key concept behind this study. In this paper, the authorship data for books was used. A data was created where various attributes of users were stored along with the book that they like to read. Naive Bayes was applied on the data set to find which factor is majorly affecting the ratings of the books. The various attributes were compared using data mining tool and found that the rating of books highly depends upon the location of the user. This interpretation was also verified by the measure of precision and recall. High precision results into more accuracy of the system.Keywords
Authorship Data, Information Retrieval, Naïve Bayes, Precision, Recall.- Relational World of Transgender
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Authors
Affiliations
1 Department of Psychology, University of Lucknow, Lucknow, Uttar Pradesh, IN
2 City Montessori School, Gomti Nagar Campus I, Lucknow, Uttar Pradesh, IN
1 Department of Psychology, University of Lucknow, Lucknow, Uttar Pradesh, IN
2 City Montessori School, Gomti Nagar Campus I, Lucknow, Uttar Pradesh, IN