Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Samir Belfkih"'
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
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
Publikováno v:
NISS
Nowadays, with the rapid growth and spread of web platforms such as social networks, online review websites and blogs, people can openly express and share their opinions. They can rate products or comment various subjects. Thus, a new field called we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f863c5bec0780b439339e72bf2ebcb9
https://doi.org/10.1145/3320326.3320399
https://doi.org/10.1145/3320326.3320399
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:
Lecture Notes in Electrical Engineering ISBN: 9783319302997
In this paper we develop an algorithm for decoding low-density parity-check (LDPC) code that improve performance and reduce latency time. This algorithm is called Variable Factor Appearance Probability Min Sum (VFAP-MS) and is inspired from the Varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4bfb7a9edc84f390628340e91b5076d
https://doi.org/10.1007/978-3-319-30301-7_40
https://doi.org/10.1007/978-3-319-30301-7_40
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
Publikováno v:
International Journal of Big Data Intelligence. 4:171
NoSQL solutions have been created to respond to many issues encountered when dealing with some specific applications, e.g., storage of very large datasets. In fact, traditional RDMS ensure data integrity and transaction consistency. But, this is at t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c6a63a4db6ecfc2847ccaa8c6cccd08
https://doi.org/10.1504/ijbdi.2017.085537
https://doi.org/10.1504/ijbdi.2017.085537