Abstract
The idea behind this study is discovering and presenting the prime factors that affect numbers of suicides in India from the year 2001 to 2012. The features in the study refer primarily to the part of the population which are affected most by suicides. Here, we explore the various profiles of the population and how the profile of an individual is contributing to his/her suicidal behavior. The rate of suicides in India has been increasing since the last decade and only a negligible percentage of decline in the same has been observed. The study reflects suicide as a massive social problem and thus, effective interventions for suicide prevention need to be developed at the earliest. This study employs the use of techniques of data analytics to find and analyze the trends in suicides. Data analytics delivers a rich insight from multiple sources and transactions, to uncover hidden patterns and relationships.
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Acknowledgements
We would like to express our profound gratitude to the Dean of School Of Computer Engineering, KIIT, Dr. Samaresh Mishra for allowing us to proceed with the report and for giving us full freedom to access the lab facilities. Our heartfelt thanks to Dr. Siddharth Swarup Rautaray and Dr. Manjusha Pandey for taking time and helping us through our work. They have been a constant source of encouragement without which the work might not have been completed on time. Their ideas and thoughts have been of great importance.
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Pradhan, S., Divyansh, Pandey, M., Rautaray, S.S. (2019). Analysis of Suicides in India—A Study Using the Techniques of Big Data. In: Biswas, U., Banerjee, A., Pal, S., Biswas, A., Sarkar, D., Haldar, S. (eds) Advances in Computer, Communication and Control. Lecture Notes in Networks and Systems, vol 41. Springer, Singapore. https://doi.org/10.1007/978-981-13-3122-0_31
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DOI: https://doi.org/10.1007/978-981-13-3122-0_31
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