THE FEDERAL POLYTECHNIC KAURA NAMODA AN IMPLIMENTATION OF TAX COLLECTION MANAGEMENT SYSTEM FOR FEDERAL POLYTECHNIC KAURA NAMODA

With the rapid development of network technology and database management system, enterprises in different fields have accumulated a large amount of data, which makes the previous data analysis tools and technologies have been unable to meet the needs of data information processing, resulting in a huge waste of data resources. In this regard, this paper proposes a portfolio optimization model based on decision tree algorithm and its algorithm. At present, decision tree algorithm is the most commonly used method in data mining classification technology because of its high classification accuracy, fast speed and easy understanding of classification rules. The most fundamental purpose of securities investment is to gain benefits. However, in investment activities, returns are always accompanied by risks. Generally, the higher the income, the greater the risk. In order to diversify risks, investors combine many kinds of securities to invest, the so-called investment portfolio, in order to obtain the maximum return. This makes the research of investment portfolio one of the major issues in the financial world.