Data Analysis : Data Mining

1398 Words Feb 26th, 2016 6 Pages
Introduction
Coenen at the University of Liverpool defines data mining “as a set of mechanisms and techniques, realized in software, to extract hidden information from data" [1]. Data mining ventures to make it easier for humans to make decisions by making data easier to manage and patterns easier to find. With more information, humans can make better business and financial decisions. The term was first written down in the 1980’s and has sense then become one of the fastest growing components of the computer science world. Data Architects make an average of $105,000 every year, entry-level positions starting at $75,000 a year, according to PayScale.com. These jobs and skills are in high demand and in large part there is still a lot to be explored in this area of research. And as technology proceeds to move forward, the amount of data grows, and more advanced tools are needed for it to be useful.

History of Data Mining

In its infancy, data mining was as limited as the hardware being used. Large amounts of data were difficult to analyze because the hardware simply could not handle it [1]. The term "data mining" first began appearing in the 1980 's largely within the research and computer science communities. In the 1990 's it was considered a subset of a process called Knowledge Discovery in Databases of KKD [1]. KKD analyzes data in the search for patterns that may not normally be recognized with the naked eye. Today however, data mining does not limit itself to databases,…
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