Data Mining thread

Data Mining thread - Article Summary: As the amount of data...

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Article Summary: As the amount of data increases, it is necessary to analyze it faster and obtain meaningful and operational information from large data. A number of tools exist for professionals to take vast amount of data to form sensible results that can lead to improving efficiency in almost any field. Explanation: A working definition of data mining is “the discovery of interesting, unexpected, or valuable structures in large datasets” (Hand, 2007). Data mining is a very popular data exploration tool, which mainly discusses how to piece hidden useful information from vast amounts of data when decision makers need some references (Chang, 2007). The applications of data mining technique range from banking, finance, marketing, manufacturing, healthcare, customer behavior analysis, and etc (Chang, 2007). Comparison: According to the text book, to perform data mining, users need data-mining tools such as query tools, reporting tools, multidimensional analysis tools, statistical tools and
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Data Mining thread - Article Summary: As the amount of data...

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