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Paper Title: Risk prediction of crime data using ARIMA and LSTM
Authors Name: Shalini M , Aravindarajan V , Swetha E , Vijayalakshmi GM
Unique Id: IJSDR2205046
Published In: Volume 7 Issue 5, May-2022
Abstract: Urbanization makes a ton of social issues. One of these issues intrinsic in all urban areas of the world is crime. Police information bases gather a lot of information that could be broke down all together crime percentages. The examination of crime and prediction of number of crime stays quite possibly the most fascinating issue for researchers. For a non-industrial nation like India, it isn't new that individuals know about violations happening regularly. With the quick urbanization of urban areas, we need to continually know about our environmental elements. To keep away from the sad, this work attempt to notice crime percentages by the crossover forecast technique. We proposed a hybrid model based on deep learning methods that incorporates an autoregressive integrated moving average (ARIMA) model and a long short term memory (LSTM) model to work on the precision of crime percentage expectation. Our investigation gives a thorough manual for crime percentage examination of model boundaries with respect to execution in expectation of crime percentage by accuracy calculation from comparing supervise classification machine learning algorithms.
Keywords: crime prediction,Crime data,violence,crime prediction,risk prediction,
Cite Article: "Risk prediction of crime data using ARIMA and LSTM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 5, page no.244 - 247, May-2022, Available :http://www.ijsdr.org/papers/IJSDR2205046.pdf
Downloads: 000223233
Publication Details: Published Paper ID: IJSDR2205046
Registration ID:200325
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 244 - 247
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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