QQ客服 官方微博 反馈留言

	An analysis model of financial statements based on data mining
	Li Yanhong; Liu Peng; Qin Zheng
	2006
关键词	association rules clustering decision making tree data mining financial analysis
页码	830-833
英文摘要	The Paper built an analysis model of financial statements based on data mining methods, that is making data mining methods such as clustering, association rules and decision making tree work together to step by step go into deeper analysis of existing financial statements, during which a annual assets structure statement is worked out. The data used for research is from financial statements of electronic product corporations published on Internet. The paper established and implemented an integrated data mining model for the electronic product industry. Finally, some meaningful conclusions were drawn, which is great benefit to decision makers and investors in this industry to analyze financial situations of some corporate and make better investment decisions, budget or management plans.
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
WOS研究方向	Computer Science
WOS记录号	WOS:000244714800150
内容类型	会议论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/3284]
专题	上海财经大学
作者单位	Shanghai Univ Finance & Econ, Sch Informat Management & Engn, Shanghai 200433, Peoples R China
推荐引用方式 GB/T 7714	Li Yanhong,Liu Peng,Qin Zheng. An analysis model of financial statements based on data mining[C]. 见:.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。