Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Said Jadid Abdul Kadir"'
Publikováno v:
IEEE Access, Vol 7, Pp 39496-39508 (2019)
A binary version of the hybrid grey wolf optimization (GWO) and particle swarm optimization (PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO is a new hybrid optimization algorithm that benefits from the strengt
Externí odkaz:
https://doaj.org/article/9ebcadfddef8465eb8f1f968842bc156
Publikováno v:
IEEE Access, Vol 6, Pp 60403-60413 (2018)
The effectiveness of automatic key concept or keyphrase identification from unstructured text documents mainly depends on a comprehensive and meaningful list of candidate features extracted from the documents. However, the conventional techniques for
Externí odkaz:
https://doaj.org/article/43e3a96ee07244d183b22fdd278f113a
Key Concept Identification: A Comprehensive Analysis of Frequency and Topical Graph-Based Approaches
Publikováno v:
Information, Vol 9, Iss 5, p 128 (2018)
Automatic key concept extraction from text is the main challenging task in information extraction, information retrieval and digital libraries, ontology learning, and text analysis. The statistical frequency and topical graph-based ranking are the tw
Externí odkaz:
https://doaj.org/article/deb5493e2fcf4aa1a2fa9a388ed2c419
Publikováno v:
International Journal of Advanced Computer Science and Applications. 13
Publikováno v:
IEEE Access, Vol 7, Pp 39496-39508 (2019)
A binary version of the hybrid grey wolf optimization (GWO) and particle swarm optimization (PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO is a new hybrid optimization algorithm that benefits from the strengt
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Fuzzy logic is an algorithm that works on “degree of truth”, instead of the conventional crisp logic where the possible answer can be 1 or 0. Fuzzy logic resembles human thinking as it considers all the possible outcomes between 1 and 0 and it tr
Publikováno v:
IEEE Access, Vol 6, Pp 60403-60413 (2018)
The effectiveness of automatic key concept or keyphrase identification from unstructured text documents mainly depends on a comprehensive and meaningful list of candidate features extracted from the documents. However, the conventional techniques for
Key Concept Identification: A Comprehensive Analysis of Frequency and Topical Graph-Based Approaches
Publikováno v:
Information, Vol 9, Iss 5, p 128 (2018)
Information; Volume 9; Issue 5; Pages: 128
Information; Volume 9; Issue 5; Pages: 128
Automatic key concept extraction from text is the main challenging task in information extraction, information retrieval and digital libraries, ontology learning, and text analysis. The statistical frequency and topical graph-based ranking are the tw