Enhancing Crime Rate Prediction Using Machine Learning Techniques
Keywords:
Crime Rate, Number of Crimes, Regression Algorithm, Machine LearningAbstract
Crime is one of the biggest and dominating problem in our society. Daily there are huge number of crimes committed frequently. Here the dataset consists of the date and the crime rate that has taken place in the corresponding years. In this project the crime rate is only based on the robbery. We use linear regression algorithm to predict the percentage of the crime rate in the future by using the previous data information. The date is given as an input to the algorithm and the output is the percentage of the crime rate in that particular year.
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Ashish Sharma, Dinesh Bhuriya, Upendra Singh. "Survey of Stock Market Prediction Using Machine Learning Approach", ICECA 2017.
Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications (Addition-Wesley Data & Analytics)
Python : The Complete Reference - Martin C. Brown
https://docs.anaconda.com/anaconda/install/windows
A.U.S.S Pradeep, SorenGoyal, J. A. Bloom, I. J. Cox, and M. Miller, ―Detection of statistical arbitrage using machine learning techniques in Indian Stock market,‖ IIT Kanpur, April 15, 2013.
Prashant S. Chavan, Prof. Dr. Shrishail. T. Patil ―Parameters for Stock Market Prediction,‖ Prashant S Chavan et al, Int.J.Computer Technology & Applications, Vol 4 (2),337-340.
NeelimaBudhani, Dr. C. K. Jha, Sandeep K. Budhani―Prediction of Stock Market Using Artificial Neural Network,‖ International Conference on Soft Computing Techniques for Engineering and Technology (ICSCTET)- 2014.
SharvilKatariya, Saurabh Jain―Stock Price Trend Forecasting using Supervised Learning Methods.
DhirajMundada, GauravChhaparwal, SachinChaudhari, and TruptiBhamare― Stock Value Prediction System,‖ International Journal on Recent and Innovation Trends in Computing and Communication, April 2015
Hochreiter, Sepp, and Jürgen Schmidhuber― Long short-term memory,‖ Neural computation 9.8 (1997): 1735-1780.
Yadav, S., Timbadia, M., Yadav, A., Vishwakarma, R., & Yadav, N. (2017, April). Crime pattern detection, analysis & prediction. In Electronics, Communication and AerospaceTechnology (ICECA), 2017 International conference of (Vol. 1, pp. 225- 230). IEEE.
Shamsuddin, N. H. M., Ali, N. A., &Alwee, R. (2017, May). An overview on crime prediction methods. In Student Project Conference (ICTISPC), 2017 6th ICT International (pp. 1-5). IEEE.
Sivaranjani, S., Sivakumari, S., &Aasha, M. (2016, October). Crime prediction and forecasting in Tamilnadu using clustering approaches. In Emerging Technological Trends (ICETT),
Sathyadevan, S., &Gangadharan, S. (2014, August). Crime analysis and prediction using data mining. In Networks & Soft Computing (ICNSC), 2014 First International Conference on (pp. 406-412). IEEE.
Nath, S. V. (2006, December). Crime pattern detection using data mining. In Web intelligence and intelligent agent technology workshops, 2006. wi-iat 2006 workshops. 2006 ieee/wic/acm international conference on (pp. 41-44). IEEE.
Zhao, X., & Tang, J. (2017, November). Exploring Transfer Learning for Crime Prediction. In Data Mining Workshops (ICDMW), 2017 IEEE International Conference on (pp. 1158-1159). IEEE.
Al Boni, M., & Gerber, M. S. (2016, December). AreaSpecific Crime Prediction Models. In Machine Learning and Applications (ICMLA), 2016 15th IEEE International Conference on (pp. 671-676). IEEE.
Tayebi, M. A., Gla, U., &Brantingham, P. L. (2015, May). Learning where to inspect: location learning for crime prediction. In Intelligence and Security Informatics (ISI), 2015 IEEE International Conference on (pp. 25-30). IEEE
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