Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Amirudin A. Wahab"'
Autor:
Abdullahi Abubakar Imam, Shuib Basri, Rohiza Ahmad, Amirudin A. Wahab, María T. González-Aparicio, Luiz Fernando Capretz, Ammar K. Alazzawi, Abdullateef O. Balogun
Publikováno v:
Symmetry, Vol 12, Iss 11, p 1799 (2020)
The way a database schema is designed has a high impact on its performance in relational databases, which are symmetric in nature. While the problem of schema optimization is even more significant for NoSQL (“Not only SQL”) databases, existing mo
Externí odkaz:
https://doaj.org/article/9875518de9be46afb949014c299ce19a
Autor:
Rohiza Ahmad, Abdullateef Oluwagbemiga Balogun, María Teresa González-Aparicio, Ammar K. Alazzawi, Amirudin Abdul Wahab, Luiz Fernando Capretz, Abdullahi Abubakar Imam, Shuib Basri
Publikováno v:
Symmetry, Vol 12, Iss 1799, p 1799 (2020)
Symmetry; Volume 12; Issue 11; Pages: 1799
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Symmetry; Volume 12; Issue 11; Pages: 1799
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
The way a database schema is designed has a high impact on its performance in relational databases, which are symmetric in nature. While the problem of schema optimization is even more significant for NoSQL (“Not only SQL”) databases, existing mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aaee468ff6fddd6353a1e5a69de942c
https://www.mdpi.com/2073-8994/12/11/1799
https://www.mdpi.com/2073-8994/12/11/1799
Autor:
Mohd Aizaini Maarof, Amirudin Abdul Wahab, Anazida Zainal, Shaiful Hisham Mat Jali, Mohamad Nizam Kassim
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811500763
In general, the current text stemmers for Malay texts were not developed for text stemming against social media texts. Therefore, there is a need to develop an enhanced text stemmer that is able to map morphological variants based on the characterist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98848d1c70f5e50366e722094677e0ce
https://doi.org/10.1007/978-981-15-0077-0_44
https://doi.org/10.1007/978-981-15-0077-0_44
Autor:
Amirudin Abdul Wahab, Shaiful Hisham Mat Jali, Mohamad Nizam Kassim, Anazida Zainal, Mohd Aizaini Maarof
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811500763
Word stemmer (or text stemmer) is used to remove bound morphemes from derived words so that various morphological variants are mapped into common base forms. It is usually used as one of the preprocessing tools in text classification, text mining, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66ad97fd61634bc04ff9deba5370031b
https://doi.org/10.1007/978-981-15-0077-0_43
https://doi.org/10.1007/978-981-15-0077-0_43
Publikováno v:
Advanced Science Letters. 23:695-698
View references (29) Word stemmer is a preprocessing component that has been widely used in many artificial intelligence applications for reducing derived words to their respective root words. There are many existing Malay word stemmers that have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8a66af4e8d31cddc7670f5c9a9d80b4
https://doi.org/10.1166/asl.2017.7446
https://doi.org/10.1166/asl.2017.7446
Publikováno v:
2016 4th International Conference on Information and Communication Technology (ICoICT).
Word stemming algorithm is used in artificial intelligence applications to stem derived words to their respective root words. Even though there are many existing words stemming algorithms for the Malay language have been proposed in the past years, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87f1448436a26a6c1557d74a8418f5da
https://doi.org/10.1109/icoict.2016.7571887
https://doi.org/10.1109/icoict.2016.7571887
Publikováno v:
Knowledge Management and Acquisition for Intelligent Systems ISBN: 9783319427058
PKAW
PKAW
Word stemmer is an automated program to remove affixes, clitics and particles from derived words based on morphological structures of specific natural languages. It has been widely used for text preprocessing in many artificial intelligence applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84b9a0ce50c8f80b2d2c6ced8ca3a5e0
https://doi.org/10.1007/978-3-319-42706-5_6
https://doi.org/10.1007/978-3-319-42706-5_6
Publikováno v:
Data Mining and Big Data ISBN: 9783319409726
DMBD
DMBD
Word stemmer is a text preprocessing tool used in many artificial intelligence applications such as text mining, text categorization and information retrieval. It is used to stem derived words into their respective root words. Many researchers have p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da455330a6866f910cf828ae8a5d457a
https://doi.org/10.1007/978-3-319-40973-3_39
https://doi.org/10.1007/978-3-319-40973-3_39