Analysis of Different Data Mining Tools Using Classification, Clustering and Association Rule Mining

Provided by: International Journal of Computer Applications
Topic: Big Data
Format: PDF
Data can be in any form like facts, text or numeric which can be computed by computer. This data when converted to meaningful data becomes information. Knowledge is nothing but useful information. Data mining is process of finding knowledge from huge collection of data. It has various methods to extract hidden knowledge from large data set. Techniques like association rule mining, classification and clustering can be used to analyze data. Classification is the process of finding a set of models that describe and distinguish data classes and concepts, for the purpose of being able to use the model to predict the class whose label is unknown.

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