Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Minyar Sassi"'
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 147 (2022)
For more than ten years, online job boards have provided their services to both job seekers and employers who want to hire potential candidates. The provided services are generally based on traditional information retrieval techniques, which may not
Externí odkaz:
https://doaj.org/article/9c4a10a36e7046b3be6a58ffa1ee2cd8
Publikováno v:
Computers, Vol 11, Iss 11, p 161 (2022)
Job recommender systems (JRS) are a subclass of information filtering systems that aims to help job seekers identify what might match their skills and experiences and prevent them from being lost in the vast amount of information available on job boa
Externí odkaz:
https://doaj.org/article/51d80016f80a424a91ca85816c761fbe
Publikováno v:
IEEE Access, Vol 8, Pp 11061-11073 (2020)
The sequential pattern mining field is expanding through numerous researches and has a large number of applications such as language processing, alarms management and event management on a broader scale. Its use began with processing items baskets to
Externí odkaz:
https://doaj.org/article/b7c4e368924943ff89e87b245c9c3963
Autor:
Hidri, Minyar Sassi
Publikováno v:
Interdisciplinary Journal of Information, Knowledge, and Management, Volume 19, 2024, pp. 010
This study contributes to the literature by considering the difference in vocabulary used to express document content and information needs. Users are integrated into all research phases in order to provide them with relevant information adapted to t
Externí odkaz:
http://arxiv.org/abs/2405.15791
Publikováno v:
IEEE Access, Vol 7, Pp 151006-151022 (2019)
The recent explosion of data size in number of records and attributes has triggered the development of a number of Big Data analytics as well as parallel data processing methods and algorithms. At the same time though, it has pushed for usage of data
Externí odkaz:
https://doaj.org/article/c493117552a34173998198fe72fc7bef
Publikováno v:
International Journal of Computing and Digital Systems, 15, 1103-1117, 2024
The new age of digital growth has marked all fields. This technological evolution has impacted data flows which have witnessed a rapid expansion over the last decade that makes the data traditional processing unable to catch up with the rapid flow of
Externí odkaz:
http://arxiv.org/abs/2404.12505
Publikováno v:
Computers, Vol 10, Iss 5, p 62 (2021)
Because of the complexity of the actors and the relationships between them, social networks are always represented by graphs. This structure makes it possible to analyze the effectiveness of the network for the social actors who are there. This work
Externí odkaz:
https://doaj.org/article/1ae9f558f4d64c87b63ef34cb5065c8a
Publikováno v:
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
To succeed in a Big Data strategy, you have to arm yourself with a wide range of data skills and best practices. This strategy can result in an impressive asset that can streamline operational costs, reduce time to market, and enable the creation of
Externí odkaz:
http://arxiv.org/abs/2309.08362
Publikováno v:
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
Any company's human resources department faces the challenge of predicting whether an applicant will search for a new job or stay with the company. In this paper, we discuss how machine learning (ML) is used to predict who will move to a new job. Fir
Externí odkaz:
http://arxiv.org/abs/2309.08333
Diversification of DB applications highlighted the limitations of relational database management system (RDBMS) particularly on the modeling plan. In fact, in the real world, we are increasingly faced with the situation where applications need to han
Externí odkaz:
http://arxiv.org/abs/1904.12344