文献
J-GLOBAL ID:202002222619407397
整理番号:20A2014140
ラフ集合とサポートベクトルマシンアプローチに基づくインド株式市場予測【JST・京大機械翻訳】
Indian Stock Market Prediction Based on Rough Set and Support Vector Machine Approach
著者 (7件):
Nayak Rudra Kalyan
(Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Guntur, Andhra Pradesh, India)
,
Tripathy Ramamani
(Department of Master of Computer Application, United School of Business Management, Bhubaneswar, Odisha, India)
,
Mishra Debahuti
(Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India)
,
Burugari Vijay Kumar
(Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Guntur, Andhra Pradesh, India)
,
Selvaraj Prabha
(Department of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India)
,
Sethy Abhisek
(Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Guntur, Andhra Pradesh, India)
,
Jena Biswaranjan
(Tata Consultancy Services, Bhubaneswar, Odisha, India)
資料名:
Smart Innovation, Systems and Technologies
(Smart Innovation, Systems and Technologies)
巻:
153
ページ:
345-355
発行年:
2020年
JST資料番号:
W5072A
ISSN:
2190-3018
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)