The comparison study of using Data Mining and Graham investment for the stocks of company on IC-testing and package

碩士 === 嶺東科技大學 === 高階主管企管碩士在職專班 === 107 === Benjamin Graham is the father of Wall Street who was recognized as outstanding performance in investment. He has fairly clear rules for stock analysis. Data mining is considered as a computer science processing data analysis method. It is a computational pr...

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Bibliographic Details
Main Authors: PEI-SAN WU, 吳佩珊
Other Authors: WAN, SHIUAN
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/77kqax
Description
Summary:碩士 === 嶺東科技大學 === 高階主管企管碩士在職專班 === 107 === Benjamin Graham is the father of Wall Street who was recognized as outstanding performance in investment. He has fairly clear rules for stock analysis. Data mining is considered as a computer science processing data analysis method. It is a computational process to discover patterns in a relatively large data set using the artificial intelligence, machine learning, statistics, and database. In this study, a rough set is a new mathematical method for dealing with collecting data. It can discover hidden knowledge and reveal potential rules through analysis and presented given data. Therefore, this study uses the rough set theory in data exploration to analyze the financial properties of Taiwan's stock packaging and testing industry from 2015 to 2016. It is decide to establish the if-then rule, and compare the difference between the correct rate of investment and the rate of return between the two investors under the rules of stock selection by the investment Benjamin Graham.