Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Y. Jeya Sheela"'
Autor:
Y Jeya Sheela
Publikováno v:
International Journal of Engineering and Advanced Technology. 8:1379-1384
Data classification is one of the evergreen research areas of data analysis. Numerous data classification approaches exist in the literature and most of the classification systems are based on binary and multi-class classification. Multi-label classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63c1b3a67271757aefd7336777bcc6ff
https://doi.org/10.35940/ijeat.f7627.088619
https://doi.org/10.35940/ijeat.f7627.088619
Autor:
Y. Jeya Sheela, S. H. Krishnaveni
Publikováno v:
2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT).
Data mining deals with large voluminous data. Classification of data is an important task in data mining process that extracts models for describing classes and predicts target class for data instances. Today several standard classifiers are availabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ccd6e065fa210695782aeffec70c370
https://doi.org/10.1109/iccpct.2017.8074403
https://doi.org/10.1109/iccpct.2017.8074403
Publikováno v:
Proceedings of the International Conference on Soft Computing Systems ISBN: 9788132226727
In the current technology evolution of various applications of data mining requires efficiency which can be achieved in various ways by improving the steps of the data mining techniques. Current research shows a wide opening in the step that uses dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17913aefd9fbf85a68f86756bd64dc97
https://doi.org/10.1007/978-81-322-2674-1_69
https://doi.org/10.1007/978-81-322-2674-1_69
Autor:
S. H. Krishnaveni, Y. Jeya Sheela
Publikováno v:
Indian Journal of Science and Technology. 8
In the current trend, development of various applications of Data mining gains much importance. Data mining is a process of extracting interesting, advantageous and understandable patterns from huge databases. Mining Association rules from large data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed67cb307bc123d7eee3a19ba8733c28
https://doi.org/10.17485/ijst/2015/v8i24/80157
https://doi.org/10.17485/ijst/2015/v8i24/80157
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Proceedings of the International Conference on Soft Computing Systems: ICSCS 2015, Volume 2; 2016, p727-739, 13p
Autor:
Ansari, Ebrahim1 ansari@iasbs.ac.ir., Sadreddini, M.H.2, Mirsadeghi, S.M.H.1, Keshtkaran, Morteza2, Wallace, Richard3
Publikováno v:
Intelligent Data Analysis. 2018, Vol. 22 Issue 4, p807-827. 21p.
Publikováno v:
Proceedings of the International Conference on Soft Computing Systems: ICSCS 2015, Volume 2; 2016, pi-xv, 15p
The book is a collection of high-quality peer-reviewed research papers presented in International Conference on Soft Computing Systems (ICSCS 2015) held at Noorul Islam Centre for Higher Education, Chennai, India. These research papers provide the la