![]() ![]() Cesario Eugenio, Catlett Charlie, Talia Domenico (2016).Astari Retnowardhiani, Yaya Sudarya Triana, 2016, Classify Interval Range of Crime Forecasting for Crime Prevention Decision Making, 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS), Yogyakarta, Indonesia Google Scholar Cross Ref SIMPLEX INFRASTRUCTURES stock price prediction is an act of determining the future value of SIMPLEX INFRASTRUCTURES shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation.The successful prediction of SIMPLEX INFRASTRUCTURESs future price could yield a significant profit.Predicting the Future in Time Series using Auto-Regressive Linear Regression Modeling, IEEE, 2015, ISBN: 978-1-4773-9277 Google Scholar Symposium on Colossal Data Analysis and Networking (CDAN). An improved optimized clustering technique for crime detection. 2017 International Conference on Communication Technologies (ComTech). IST: Role of GIS in Crime Mapping and Analysis. Sheikh, J., Shafique, I., Sharif, M., Zahra, S., & Farid, T.Philippine National Police (PNP) Reorganization and Modernization Act House Bill No.2426. ![]() Except for killings, all crime drop in Duterte's 1st year. Linking psychological traits with criminal behaviour: A review. Kamaluddin, M., Shariff, N., Othman, A., Ismail, K., & Saat, G.Spatial Heterogeneity in the Effects of Immigration and Diversity on Neighborhood Homicide Rates. The prediction results can be useful for the police stations to identify problematic regions to patrol and the predicted values for mobility derived from the optimization model can be a valuable information in decision making specifically in the disposition of mobility for a given locality to suppress crime so that law and order can be maintained properly and there is a sense of safety and well-being among the citizens in the province. MAPE was used to determine the accuracy of each model. Datasets were extracted from fourteen (14) municipal police stations of Rizal Province, which contains historical data of crime statistics from 2013 to 2017 and mobility resources for each Police station. Various time-series forecasting models were applied in the crime dataset using the SAS tool. It also focuses on the development and testing of the effectiveness of the optimization model in reducing the crime rate score reduction considering the number of mobility using Simplex Linear Programming and regression analysis. This paper focuses on the prediction of crime rates. Crime prediction and prevention strategies are vital for police forces to face inevitable increases in the crime rate as a side effect of the growth of the urban population. Crime is one of the major problems of countries all over the world, and the Philippines is no exception. ![]()
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