Zobrazeno 1 - 6
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pro vyhledávání: '"Paresh Tanna"'
Publikováno v:
Journal of Engineering Education Transformations. 34:499
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14c88ebfef84cadd34d4a60b106e5df8
https://doi.org/10.16920/jeet/2021/v34i0/157202
https://doi.org/10.16920/jeet/2021/v34i0/157202
Publikováno v:
Journal of Engineering Education Transformations. 33:62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfd91917a8ac3373536f765d270ee939
https://doi.org/10.16920/jeet/2020/v33i3/146152
https://doi.org/10.16920/jeet/2020/v33i3/146152
Autor:
Yogesh Ghodasara, Paresh Tanna
Publikováno v:
IOSR Journal of Computer Engineering. 16:73-78
Efficient frequent pattern mining algorithms are decisive for mining association rule. In this paper, we examine the matter of association rule mining for items in a massive database of sales transactions. Finding large patterns from database transac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a47fb988b4ae06fa76369c9564cf7c3
https://doi.org/10.9790/0661-16677378
https://doi.org/10.9790/0661-16677378
Autor:
Yogesh Ghodasara, Paresh Tanna
Publikováno v:
2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT).
The frequent pattern mining algorithms determine the frequent patterns from a transaction database. When the database is updated, the frequent patterns should be updated as well. However, running the frequent pattern mining algorithms with every upda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d3ee41f4d77c933bcc3aeb50bf1af6
https://doi.org/10.1109/icecct.2015.7226106
https://doi.org/10.1109/icecct.2015.7226106
Autor:
Paresh Tanna, Yogesh Ghodasara
Knowledge exploration from the large set of data,generated as a result of the various data processing activities due to data mining only. Frequent Pattern Mining is a very important undertaking in data mining. Apriori approach applied to generate fre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f49c536c63c025fc1abf0138874d70a
http://arxiv.org/abs/1406.7371
http://arxiv.org/abs/1406.7371
Autor:
Paresh Tanna, Yogesh Ghodasara
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9788132207399
The purpose of this paper is to do an analysis of the sample / raw data to obtain a meaningful interpretation using some of the data mining algorithms like a vector quantization based clustering and then an ‘Apriori’ based Association rule mining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e656438d220acd0a7ca0516d5c021822
https://doi.org/10.1007/978-81-322-0740-5_113
https://doi.org/10.1007/978-81-322-0740-5_113