Furthermore, companies around the world are considering harnessing data as a basis of competitive advantage over other companies. In particularly, a wave of massive loan defaults occurred that nearly crippled the United States financial system. For example, medical records can be one kind of privacy data.
The idea of ownership is shifting and becomes the idea of access or subscription instead of a one-time purchase. It performs two essential tasks, descripting and predicting. Regressions, through the use of the R squared metric can help an analyst better determine what percentage of the loan defaults can be explained by variables such as income, debt, or other variables.The general duties of an algorithm is to do what a programmer wants the computer to complete tasks. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. The abundance of data extends day by day. To start a set of training data is developed that contains a certain set of attributes as well as the likely outcome. We adopt the term concept hierarchy because of its popularity in the community of data mining and knowledge discovery It provided me with a strong and comprehensive background in computers. Therefore, more complex techniques e. For e. Data mining is really just the next step in the process of analyzing data.
Such personal information can subsequently be sold or exploited, jeopardizing the user's privacy. Data mining is really just the next step in the process of analyzing data.