Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Abdelatif Ennaji"'
Publikováno v:
Advances in Science, Technology and Engineering Systems, Vol 2, Iss 3, Pp 900-905 (2017)
The increase of textual information published in Arabic language on the internet, public libraries and administrations requires implementing effective techniques for the extraction of relevant information contained in large corpus of texts. The purpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65375c8dd20a15d32ff1422cd0ef596a
https://doi.org/10.25046/aj0203112
https://doi.org/10.25046/aj0203112
Publikováno v:
Journal of Computers (JCP)
Journal of Computers (JCP), Academy Publisher, 2018
Journal of Computers (JCP), Academy Publisher, 2018
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6fd462468334d49d40d53d355c7e9a8
https://hal-normandie-univ.archives-ouvertes.fr/hal-02347303
https://hal-normandie-univ.archives-ouvertes.fr/hal-02347303
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science, 10884, pp 138-144, 2018, ⟨10.1007/978-3-319-94211-7⟩
Lecture Notes in Computer Science ISBN: 9783319942100
ICISP
Lecture Notes in Computer Science, 10884, pp 138-144, 2018, ⟨10.1007/978-3-319-94211-7⟩
Lecture Notes in Computer Science ISBN: 9783319942100
ICISP
Indexing unstructured documents aims to build a list of words, or concepts, which will simplify the exploration of their exploration later on. The most used model for text modeling is the Vector Space Model. In spite of the simplicity of this model i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::072758f4bad867e99c61bf9116c19d3d
https://hal-normandie-univ.archives-ouvertes.fr/hal-02347881
https://hal-normandie-univ.archives-ouvertes.fr/hal-02347881
Publikováno v:
Computational Intelligence and Its Applications ISBN: 9783319897424
CIIA
IFIP Advances in Information and Communication Technology
6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA)
6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. pp.56-65, ⟨10.1007/978-3-319-89743-1_6⟩
CIIA
IFIP Advances in Information and Communication Technology
6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA)
6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. pp.56-65, ⟨10.1007/978-3-319-89743-1_6⟩
Part 1: Data Mining and Information Retrieval; International audience; In this paper, we present an approach for investigating information cascades in social and collaborative networks. The proposed approach seeks to improve methods limited to the de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7ad0e5d22c7fe2756a879075bad3807
https://doi.org/10.1007/978-3-319-89743-1_6
https://doi.org/10.1007/978-3-319-89743-1_6
Publikováno v:
Electronic Journal of Information Technology, Iss 9 (2016)
Document indexing is a crucial step in the text mining process. It is used to represent documents by the most relevant descriptors of their contents. Several approaches are proposed in the literature, particularly for English, but they are unusable f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::11f4c30538132b757a1031e78fe55c5b
http://www.revue-eti.net/index.php/eti/article/view/96
http://www.revue-eti.net/index.php/eti/article/view/96
Publikováno v:
SITA
Documents indexing is the main step in a conventional document classification or information retrieval framework. This study aims to highlight the influence of features' type on the efficiency of a classification system. Empirical results on Arabic d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7713358192413dea57da4237f161844c
https://doi.org/10.1109/sita.2016.7772288
https://doi.org/10.1109/sita.2016.7772288
Publikováno v:
International Journal of Computer Applications. 56:43-46
In supervised learning, algorithms infer a general prediction model based on previously labeled data. However, in many real-world machine learning problems, the number of labeled data is small, while the unlabeled data are abundant. Obviously, the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f0cd6ffd8c8c356378925f04cd3a78d
https://doi.org/10.5120/8899-2925
https://doi.org/10.5120/8899-2925