A Synthesized Approach for Comparison and Enhancement of Clustering Algorithms in Data Mining for Improving Feature Quality

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Provided by: International Journal of Soft Computing and Engineering (IJSCE)
Topic: Big Data
Format: PDF
Data mining is the important step for discover the knowledge in knowledge discovery process in data set. Data mining provide a useful pattern or model to discovering important and useful data from whole database. Different algorithms are used to extract the valuable data. To mine the data important steps or tasks are: clustering use to describe the data and categories into similar objects in groups. Find the dependencies between variables. Mine the data using tools. Classification is an important task in data mining.
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