An introduction to Data Mining
Hey Readers,
This post is regarding one of the most exciting fields of research in Computer Science and it is opening plethora of opportunities for scientists and researchers especially in the field of Bioinformatics.
Data Mining basically refers to extraction of "knowledge" from large amounts of data. It is also commonly referred to as "Knowledge Mining" or KDD (short for Knowledge Discovery in Databases). Common applications of Data Mining range from using predictive techniques to unearth interesting patterns in large amounts of data; using previous sales and research data to predict future sales; improving the response rates of direct mail campaigns; and using previous sales data to recommend products to returning or new customers.
Look forward to some more information on Data mining coming soon..
This post is regarding one of the most exciting fields of research in Computer Science and it is opening plethora of opportunities for scientists and researchers especially in the field of Bioinformatics.
Data Mining basically refers to extraction of "knowledge" from large amounts of data. It is also commonly referred to as "Knowledge Mining" or KDD (short for Knowledge Discovery in Databases). Common applications of Data Mining range from using predictive techniques to unearth interesting patterns in large amounts of data; using previous sales and research data to predict future sales; improving the response rates of direct mail campaigns; and using previous sales data to recommend products to returning or new customers.
Look forward to some more information on Data mining coming soon..
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