Zobrazeno 1 - 10
of 35
pro vyhledávání: '"fatima zahra benjelloun"'
Autor:
Ahmed OUSSOUS, fatima zahra benjelloun
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 8, Iss 1, Pp 72-86 (2022)
The exponential growth of data generated from the Moroccan court makes it difficult to search for valuable knowledge within multiple and huge data sets. Traditional searching methods are not adapted to Big Data context. Indeed, handling the search of
Externí odkaz:
https://doaj.org/article/6d123f058b6440cf8b84f0aeabd1b4ba
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 10, Pp 1177-1185 (2021)
Detecting outliers in real-time is increasingly important for many real-world applications such as detecting abnormal heart activity, intrusions to systems, spams or abnormal credit card transactions. However, detecting outliers in data streams rises
Externí odkaz:
https://doaj.org/article/27690865aa2042bcb85cf54db30f0f6b
Autor:
Ahmed Oussous, Ismail Menyani, Mehdi Srifi, Ayoub Ait Lahcen, Smail Kheraz, Fatima-Zahra Benjelloun
Publikováno v:
Information, Vol 14, Iss 2, p 57 (2023)
The education sector has never been so shaken up as much as this past year. COVID-19 has imposed new rules. Several countries were forced to switch overnight from a traditional educational model to a full eLearning one. Like most other countries, the
Externí odkaz:
https://doaj.org/article/2fc9695786d34ed8a093286427029401
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 30, Iss 4, Pp 431-448 (2018)
Developing Big Data applications has become increasingly important in the last few years. In fact, several organizations from different sectors depend increasingly on knowledge extracted from huge volumes of data. However, in Big Data context, tradit
Externí odkaz:
https://doaj.org/article/d6c233c3dc894815b7987ffc1c16ce83
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 10, Pp 1177-1185 (2021)
Detecting outliers in real-time is increasingly important for many real-world applications such as detecting abnormal heart activity, intrusions to systems, spams or abnormal credit card transactions. However, detecting outliers in data streams rises
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::558e0ef269db3178f22c1416df2fd1e5
https://doi.org/10.1016/j.jksuci.2019.08.003
https://doi.org/10.1016/j.jksuci.2019.08.003
Publikováno v:
Journal of Information Science. 46:544-559
Sentiment analysis (SA), also known as opinion mining, is a growing important research area. Generally, it helps to automatically determine if a text expresses a positive, negative or neutral sentiment. It enables to mine the huge increasing resource
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6a0b3c777a8a71d987c6c3dfec7232a
https://doi.org/10.1177/0165551519849516
https://doi.org/10.1177/0165551519849516
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 30, Iss 4, Pp 431-448 (2018)
Developing Big Data applications has become increasingly important in the last few years. In fact, several organizations from different sectors depend increasingly on knowledge extracted from huge volumes of data. However, in Big Data context, tradit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f98d483984652245d0d7ed04ed72981
https://doi.org/10.1016/j.jksuci.2017.06.001
https://doi.org/10.1016/j.jksuci.2017.06.001
The value of Big Data is now being recognized by many industries and governments. The efficient mining of Big Data enables to improve the competitive advantage of companies and to add value for many social and economic sectors. In fact, important pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::771539cb83208cceb639d109e6d6ed97
https://doi.org/10.4018/978-1-5225-7501-6.ch003
https://doi.org/10.4018/978-1-5225-7501-6.ch003
Publikováno v:
International Journal of Internet Technology and Secured Transactions. 9:446
In recent years, detecting outliers in big data streams has become a main challenge in several domains (e.g., medical monitoring, government security, information security, natural disasters, and online financial frauds). In fact, unlike regular stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bcc537b6cba92cd95219b41f697d333
https://doi.org/10.1504/ijitst.2019.102799
https://doi.org/10.1504/ijitst.2019.102799
Publikováno v:
2015 Intelligent Systems and Computer Vision (ISCV).
Nowadays, many industries and government can exploit Big Data to extract valuable insight. Such insight can help decision makers to enhance their strategies and optimize their plans. It helps the organization to gain a competitive advantage and provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a586bb18fade1d8d169d65b1d3140bb
https://doi.org/10.1109/isacv.2015.7105553
https://doi.org/10.1109/isacv.2015.7105553