Method for predicting near future trend of stock in stock market, involves fusing outputs of multiple classifiers by decision fusion algorithm, and carrying out variety of experimental simulations utilizing historical data of three stocks, where prediction accuracy of proposed approach is compared
	NEDUNCHELIYAN S; DASHARADHA R; DUSHYANTH P; RAJESH R; KUMAR R B; ANITHAA N
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341070150-A
成果简介	NOVELTY - The method involves introducing and investigating new approach based on fused intelligent computing, where the approach is composited of four main portions including data discretization, attribute reduction, classification and decision fusion. Two algorithms are adopted to realize specific function in each portion respectively, where given stock indexes are selected by a reduction algorithm of discernibility matrix, and outputs of multiple classifiers are fused by a decision fusion algorithm. A variety of experimental simulations utilizing historical data of three stocks is carried out, where prediction accuracy of the proposed approach is compared. USE - Method for predicting near future trend of stock in stock market. ADVANTAGE - The method enables providing investors with a forecasting result of price trend of target stock to instruct investments and make more profits, and performs prediction task with high accuracy.
IPC 分类号	G06K-009/62 ; G06N-003/04 ; G06Q-040/00 ; G06Q-040/04 ; G06Q-040/06
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19684
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	NEDUNCHELIYAN S,DASHARADHA R,DUSHYANTH P,et al. Method for predicting near future trend of stock in stock market, involves fusing outputs of multiple classifiers by decision fusion algorithm, and carrying out variety of experimental simulations utilizing historical data of three stocks, where prediction accuracy of proposed approach is compared. IN202341070150-A[P]. 2023.

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