Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Deep Learning Decision Support Model for Police Investigation Description An account of the resource A police investigation is an exciting task with many complicated processes that may or may not succeed. However, it is the sole duty of a police officer to understand the crime scene, reconstruct the event and predict the criminal with accuracy. There are various methods for interrogations, predictions, and confirmation after identifying a person as a criminal or upon concluding their actions as a criminal act. However, we can see massive growth in crime rates every day. This massive growth rate makes conventional prediction or analysis very strenuous. In such times we can use or take the help of deep learning and machine learning methods for crime analysis and suspect prediction by identifying the data points in a set. This prediction methodology is known as intelligence analysis which simulates the dataset to draw a connection or pattern collectively from millions of data points to identify the instigator and linkman. This chapter will summarize the uses of deep learning and artificial intelligence in a decision support model for police investigation. 2024 selection and editorial matter, S. Vijayalakshmi, P. Durgadevi, Lija Jacob, Balamurugan Balusamy, and Parma Nand; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Devan A.M.; Raghul V.; Dhasmana U.; Rath A.; Jacob L. Source A related resource from which the described resource is derived Artificial Intelligence for Cyber Defense and Smart Policing, pp. 76-90. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003251781-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003251781-6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190214004&amp;doi=10.1201%2F9781003251781-6&amp;partnerID=40&amp;md5=1ee6497875cf3c703b150bcb40860ee3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190214004&amp;doi=10.1201%2f9781003251781-6&amp;partnerID=40&amp;md5=1ee6497875cf3c703b150bcb40860ee3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100381553-2; 978-103217093-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Devan A.M., Department of Data Science, Christ University, Pune, Lavasa, India; Raghul V., Department of Data Science, Christ University, Pune, Lavasa, India; Dhasmana U., Department of Data Science, Christ University, Pune, Lavasa, India; Rath A., Department of Data Science, Christ University, Pune, Lavasa, India; Jacob L., Department of Data Science, Christ University, Pune, Lavasa, India