A Survey on Different Data Mining Techniques with Emphasis on Clustering

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Provided by: International Journal for Multi-Disciplinary Engineering & Business Management (IJMDEBM)
Topic: Big Data
Format: PDF
Data mining is the exploration and analysis of large quantities of data in order to discover valid, novel, potentially useful, and ultimately understandable patterns in data. This paper presents the concept of data mining and aims at providing an understanding of the overall process and tools involved: how the process turns out, what can be done with it, what are the main techniques behind it, which are the operational aspects. The authors aim also at describing a few examples of data mining applications, and k-means algorithm of clustering technique in detail.
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