Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Abdelkrim Bekkhoucha"'
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-29 (2021)
Abstract To address the challenges of big data analytics, several works have focused on big data optimization using metaheuristics. The constraint satisfaction problem (CSP) is a fundamental concept of metaheuristics that has shown great efficiency i
Externí odkaz:
https://doaj.org/article/e4f6212e22b84053849a8b684392fe07
Publikováno v:
E3S Web of Conferences, Vol 297, p 01070 (2021)
Clustering of variables is the task of grouping similar variables into different groups. It may be useful in several situations such as dimensionality reduction, feature selection, and detect redundancies. In the present study, we combine two methods
Externí odkaz:
https://doaj.org/article/6361d191e3df404cabcefb018b3af9c7
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-29 (2021)
To address the challenges of big data analytics, several works have focused on big data optimization using metaheuristics. The constraint satisfaction problem (CSP) is a fundamental concept of metaheuristics that has shown great efficiency in several
Publikováno v:
International Journal of Intelligent Engineering and Systems. 13:214-226
Hidden Markov models (HMMs) are one of machine learning algorithms which have been widely used and demonstrated their efficiency in many conventional applications. This paper proposes a modified posterior decoding algorithm to solve hidden Markov mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe9750b78763cce6528c1bfa09a625f4
https://zenodo.org/record/6951744
https://zenodo.org/record/6951744
Publikováno v:
2021 4th International Conference on Robot Systems and Applications.
A new fast parallel constrained Viterbi algorithm for big data is proposed in this paper. We provide a detailed analysis of its performance on big data frameworks. This performance analysis includes the evaluation of execution time, speedup, and pred
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Big Data is an extremely massive amount of hetero-geneous and multisource data which often requires fast processing and real time analysis. Solving big data analytics problems needs powerful platforms to handle this enormous mass of data and efficien
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030119270
Big Data is one of the most famous concepts in the world of new technology and decision making nowadays. It refers to a huge mass of varied and complex data that is gathered from different sources and exceeds the storage and processing capacity of tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89e573e1f8ad95157e7ae631539a0e08
https://doi.org/10.1007/978-3-030-11928-7_21
https://doi.org/10.1007/978-3-030-11928-7_21
Publikováno v:
SITA
Seen the diversity of the technologies of current access networks, the mobile terminals have the possibility of reaching several types of networks at the same time under the concept “Always Best Connected” (ABC). This imposes a good management of
Publikováno v:
Second International Conference on the Innovative Computing Technology (INTECH 2012).
The video used by professionals from various fields and the general public is constantly growing, it's important to develop efficient systems to classify and index them. The video summarization is an essential step to construct a system of indexing a