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International Journal of Data Mining & Knowledge Management Process (IJ DKP) Vol.2, No.5, September 2012 Discovery of Patterns and evaluation of Clustering Algorithms in SocialNetwork Data (Face book
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The discovery of patterns refers to the process of identifying and analyzing recurring trends or relationships within a given set of data.
Any individual or organization that wants to understand and extract meaningful insights from their data can conduct the discovery of patterns process.
The discovery of patterns can be filled out by analyzing the data using statistical analysis tools, data mining techniques, or machine learning algorithms.
The purpose of the discovery of patterns is to uncover hidden knowledge, discover trends, make predictions, and ultimately make informed decisions based on the insights derived from the data.
The information reported in the discovery of patterns may vary depending on the specific goals and context, but typically includes data attributes, patterns found, statistical measures, and any relevant insights or conclusions.
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