Introduction generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both.
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Data mining data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining tools allow enterprises to predict future trends. It is an analytic process designed to explore data (usually large amounts of data.).
Get a 100 plagiarism-free essay on data mining just from 13,9page. I assert that data is one of the most important assets for companies and organizations in todays technological world. We are surrounded by an overwhelming amount of information, especially through the internet.
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Data mining, or knowledge discovery, is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends, allowing businesses to make proactive, knowledge-driven decisions.
Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while imagining concise enough to be mined within an acceptable time limit.
Data mining - every day, almost every moment, we are making decisions. The decision-making process is extremely important in our life. Since as long as you made a decision, we will contribute most of our capital, time, focus and energy on the direction you selected.
Companies who use data mining techniques must act responsibly by being aware of the ethical issues that are surrounding their particular application they must also consider the wisdom in what they are doing. For example, data mining sometimes can be used to discriminate people, especially regarding racial, sexual and religious orientations.