• Pushpendar Sharma
• Rajesh Sharma
• Dr. Priya Swaminarayan

Data mining may be a field of intersection of computing and statistics wont to discover patterns within the information bank. The main aim of the info mining process is to extract the useful information from the dossier of knowledge and mold it into a clear structure for future use. There are different processes and techniques used to carry out data mining successfully. In terms of knowledge processing, classical statistical models are restrictive; it requires hypotheses, the knowledge and knowledge of specialists, equations, effective knowledge of probabilities distribution and therefore the data must have a top quality, being subject to prior processing and transformations. Because of these disadvantages the concept of knowledge mining has emerged, implementing knowledge extraction algorithms from the massive data collections. Data mining may be a process consisting in collecting knowledge from databases or data warehouses and therefore the information collected that had never been known before, it's valid and operational. Nowadays data mining is a modern and powerful IT&C tool, automatizing the process of discovering relationships and combinations in raw data and using the results in an automatic decision support.

"Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.2835-2836, March-2021, Available :http://www.jetir.org/papers/JETIR2103360.pdf

"Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp2835-2836, March-2021, Available at : http://www.jetir.org/papers/JETIR2103360.pdf