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West Ashley Library
9 a.m. - 7 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 6 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
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Phone: (843) 889-3300
Otranto Road Library
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Mt. Pleasant Library
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McClellanville Library
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Keith Summey North Charleston Library
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John's Island Library
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Hurd/St. Andrews Library
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Edisto Island Library
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Crime data analysis and prediction using machine learning.
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- Author(s): Geetha, V.; Gomathy, C. K.; Srinithya, Lebaku; Neha, Parvatha
- Source:
AIP Conference Proceedings; 2024, Vol. 3028 Issue 1, p1-5, 5p- Subject Terms:
- Source:
- Additional Information
- Abstract: Crime is considered one of the largest troubles in our society and its prevention could be very crucial undertaking to all of us. Every day there are big numbers of crimes happening in our society. This calls for preserve tracking of all the crimes and maintaining a database which can be used for future reference. The contemporary issues facing are keeping the proper dataset of crime and studying this information to assist in predicting and fixing crimes in destiny. The goal of this paper is to research dataset which may consist of several crimes and predicting the kind of crime which could take place in future depending upon numerous conditions [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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