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pro vyhledávání: '"Elluri, Lavanya"'
Data protection and privacy is becoming increasingly crucial in the digital era. Numerous companies depend on third-party vendors and service providers to carry out critical functions within their operations, encompassing tasks such as data handling
Externí odkaz:
http://arxiv.org/abs/2404.19744
Big Data empowers the farming community with the information needed to optimize resource usage, increase productivity, and enhance the sustainability of agricultural practices. The use of Big Data in farming requires the collection and analysis of da
Externí odkaz:
http://arxiv.org/abs/2311.15460
Cybercrime is a growing threat to organizations and individuals worldwide, with criminals using sophisticated techniques to breach security systems and steal sensitive data. This paper aims to comprehensively survey the latest advancements in cybercr
Externí odkaz:
http://arxiv.org/abs/2304.04819
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
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
Externí odkaz:
http://arxiv.org/abs/2303.16310
Akademický článek
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Cybercrime is a growing threat to organizations and individuals worldwide, with criminals using increasingly sophisticated techniques to breach security systems and steal sensitive data. In recent years, machine learning, deep learning, and transfer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09f8b0aa0e7537d7a6ad645ed0df0b89
http://arxiv.org/abs/2304.04819
http://arxiv.org/abs/2304.04819
Akademický článek
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Akademický článek
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Publikováno v:
2018 IEEE International Conference on Big Data (Big Data).
Proceedings of the 2018 IEEE International Conference on Big Data, Seattle
Big data analytics related to consumer behavior, market analysis, opinions, and recommendation often deal with end user's derived and inferred data, along with the observ
Big data analytics related to consumer behavior, market analysis, opinions, and recommendation often deal with end user's derived and inferred data, along with the observ
Autor:
Elluri L; IS Department, University of Maryland Baltimore County, Baltimore, MD, United States., Piplai A; CSEE Department, University of Maryland Baltimore County, Baltimore, MD, United States., Kotal A; CSEE Department, University of Maryland Baltimore County, Baltimore, MD, United States., Joshi A; CSEE Department, University of Maryland Baltimore County, Baltimore, MD, United States., Joshi KP; IS Department, University of Maryland Baltimore County, Baltimore, MD, United States.
Publikováno v:
Frontiers in big data [Front Big Data] 2021 Aug 12; Vol. 4, pp. 701966. Date of Electronic Publication: 2021 Aug 12 (Print Publication: 2021).