Crime Rate Detection Based on Text Mining on Social Media Using Logistic Regression Algorithm

Permana, M. Anton; Thohir, Muhammad; Mantoro, Teddy; Ayu, Media Anugerah

doi:10.1109/icced53389.2021.9664846

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…These research articles including multiple other studies [38], [48] highlight that deep learning algorithms, including CNN and RNN, have successfully applied to various data types for crime prediction and classification. These studies demonstrate the versatility of deep learning algorithms in this field and provide valuable insights into the factors contributing to criminal activity.…”

Section: ) Deep Learning Based Classification Methods For Crime Predi...mentioning

confidence: 99%

Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions

et al. 2023

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Predicting crime using machine learning and deep learning techniques has gained considerable attention from researchers in recent years, focusing on identifying patterns and trends in crime occurrences. This review paper examines over 150 articles to explore the various machine learning and deep learning algorithms applied to predict crime. The study provides access to the datasets used for crime prediction by researchers and analyzes prominent approaches applied in machine learning and deep learning algorithms to predict crime, offering insights into different trends and factors related to criminal activities. Additionally, the paper highlights potential gaps and future directions that can enhance the accuracy of crime prediction. Finally, the comprehensive overview of research discussed in this paper on crime prediction using machine learning and deep learning approaches serves as a valuable reference for researchers in this field. By gaining a deeper understanding of crime prediction techniques, law enforcement agencies can develop strategies to prevent and respond to criminal activities more effectively.

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Section: ) Deep Learning Based Classification Methods For Crime Predi...mentioning

confidence: 99%

Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions

et al. 2023

View full text Add to dashboard Cite

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Crime Prediction Using Machine Learning and Deep Learning

P. Karthik,

P. Jayanth,

K. Tharun Nayak

et al. 2024

Int J Sci Res Sci Eng Technol

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The utilization of machine learning and deep learning methods for crime prediction has become a focal point for researchers, aiming to decipher the complex patterns and occurrences of crime. This review scrutinizes an extensive collection of over 150 scholarly articles to delve into the assortment of machine learning and deep learning techniques employed in forecasting criminal behaviour. It grants access to the datasets leveraged by researchers for crime forecasting and delves into the key methodologies utilized in these predictive algorithms. The study sheds light on the various trends and elements associated with criminal behaviour and underscores the existing deficiencies and prospective avenues for advancing crime prediction precision. This thorough examination of the current research on crime forecasting through machine learning and deep learning serves as an essential resource for scholars in the domain. A more profound comprehension of these predictive methods will empower law enforcement to devise more effective prevention and response strategies against crime.

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Crime Rate Detection Based on Text Mining on Social Media Using Logistic Regression Algorithm

Cited by 2 publications

References 17 publications

Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions

Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions

Crime Prediction Using Machine Learning and Deep Learning

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