Zobrazeno 1 - 10
of 93
pro vyhledávání: '"R. Uday Kiran"'
Autor:
R. Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
Publikováno v:
IEEE Access, Vol 8, Pp 27584-27596 (2020)
Weighted Frequent Itemset (WFI) mining is an important model in data mining. It aims to discover all itemsets whose weighted sum in a transactional database is no less than the user-specified threshold value. Most previous works focused on finding WF
Externí odkaz:
https://doaj.org/article/a7e9611b97054958930bb132dc9ce575
Publikováno v:
Pure and Applied Geophysics. 179:1461-1473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd7b6a931c2bddbea9467ac41d877d42
https://doi.org/10.1007/s00024-022-02969-2
https://doi.org/10.1007/s00024-022-02969-2
Pyoderma gangrenosum, Acne, and Hidradenitis Suppurativa (PASH) is a rare inflammatory syndrome, the exact etiology and pathogenesis of which remains unknown. PASH syndrome belongs to the spectrum of Interleukin-1 driven auto-inflammatory diseases.In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57ea6dc879435ad999ebf3fe0d822616
Autor:
Penugonda Ravikumar, R. Uday Kiran, Palla Likhitha, T. Chandrasekhar, Yutaka Watanobe, Koji Zettsu
Publikováno v:
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21db8d39ebaf7805aaae08069c6679cd
https://doi.org/10.1109/dsaa54385.2022.10032391
https://doi.org/10.1109/dsaa54385.2022.10032391
Autor:
Pamalla Veena, Penugonda Ravikumar, Kundai Kwangwari, R. Uday Kiran, Kazuo Goda, Yutaka Watanobe, Koji Zettsu
Publikováno v:
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08430c83fec4b6316f3e34912a984cd8
https://doi.org/10.1109/fuzz-ieee55066.2022.9882785
https://doi.org/10.1109/fuzz-ieee55066.2022.9882785
Autor:
Koji Zettsu, R. Uday Kiran, P. P. C. Reddy, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
Publikováno v:
IEEE Access, Vol 8, Pp 27584-27596 (2020)
Weighted Frequent Itemset (WFI) mining is an important model in data mining. It aims to discover all itemsets whose weighted sum in a transactional database is no less than the user-specified threshold value. Most previous works focused on finding WF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4379779c90c1e038dbfeec7d8a444aee
https://ieeexplore.ieee.org/document/8974289/
https://ieeexplore.ieee.org/document/8974289/
Publikováno v:
2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fda12f3bbadfe963cd82f06cef240687
https://doi.org/10.1109/iceeict53079.2022.9768472
https://doi.org/10.1109/iceeict53079.2022.9768472
Autor:
R. Uday Kiran, Vipul Chhabra, Saideep Chennupati, P. Krishna Reddy, Minh-Son Dao, Koji Zettsu
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031001222
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27f6c9632f84e1350a3681e381e59c00
https://doi.org/10.1007/978-3-031-00123-9_45
https://doi.org/10.1007/978-3-031-00123-9_45
Autor:
Hong N. Dao, Penugonda Ravikumar, P. Likitha, Bathala Venus Vikranth Raj, R. Uday Kiran, Yutaka Watanobe, Incheon Paik
Publikováno v:
Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence ISBN: 9783031085291
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb65718e4440a3998eee2c83d877a5a5
https://doi.org/10.1007/978-3-031-08530-7_70
https://doi.org/10.1007/978-3-031-08530-7_70
Publikováno v:
Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence ISBN: 9783031085291
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3bdf064f1c6d7b2097237b71503b21c
https://doi.org/10.1007/978-3-031-08530-7_40
https://doi.org/10.1007/978-3-031-08530-7_40