Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Hichem Haouassi"'
Improved binary crocodiles hunting strategy optimization for feature selection in sentiment analysis
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-21
Feature Selection (FS) for Sentiment Analysis (SA) becomes a complex problem because of the large-sized learning datasets. However, to reduce the data dimensionality, researchers have focused on FS using swarm intelligence approaches that reflect the
Autor:
Mohammed El Habib Souidi, Hichem Haouassi, Makhlouf Ledmi, Toufik Messaoud Maarouk, Abdeldjalil Ledmi
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:757-773
Multi-Pursuers Multi-Evader Game (MPMEG) is considered as a multi-agent complex problem in which the pursuers must perform the capture of the detected evaders according to the temporal constraints. In this paper, we propose a metaheuristic approach b
Autor:
Mohamed Mahdi Malik, Hichem Haouassi
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:7559-7569
Rule-based classification is one of the important tasks in data mining due to its wide applications, particularly in the domains that need to interpret the classification decision such as medical diagnosis. The rule-based classification is a combinat
Publikováno v:
Arabian Journal for Science and Engineering. 48:2359-2374
With the development of websites and social networks, Internet users generate a massive amount of comments and information on the Web. Sentiment analysis, also called opinion mining, offers an opportunity to mine the people's sentiments and emotions
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 43:2315-2331
Many machine learning-based methods have been widely applied to Coronary Artery Disease (CAD) and are achieving high accuracy. However, they are black-box methods that are unable to explain the reasons behind the diagnosis. The trade-off between accu
Autor:
Hichem Rahab, Hichem Haouassi, Mohammed El Habib Souidi, Abdelaali Bakhouche, Rafik Mahdaoui, Maamar Bekhouche
Publikováno v:
Arabian Journal for Science and Engineering.
Publikováno v:
International Journal of Swarm Intelligence Research. 12:101-124
Association rules are the specific data mining methods aiming to discover explicit relations between the different attributes in a large dataset. However, in reality, several datasets may contain both numeric and categorical attributes. Recently, man
Akademický článek
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Publikováno v:
Revue d'Intelligence Artificielle; Feb2022, Vol. 36 Issue 1, p131-138, 8p
Publikováno v:
International Journal of Swarm Intelligence Research (IJSIR); November 2021, Vol. 13 Issue: 1 p1-21, 21p