• SRIDHAR A S

Abstract—Data mining works on the principal of KDD (Knowledge Discovery in Databases). Data mining is the process by which organizations detect patterns in data for insights relevant to their business needs. It’s essential for both business intelligence and data science. There are many data mining techniques organizations can use to turn raw data into actionable insights. These involve everything from cutting-edge artificial Intelligence to the basics of data preparation, which are both key for maximizing the value of data investments. Data mining tools compare symptoms, causes, treatments and negative effects so as to proceed to investigate that which action can be proved simplest for a group of patients. The data from aid organizations are voluminous and heterogeneous. It must be collected and kept in organized type and their integration allows the formation unite medical system. Data mining in health offers unlimited possibilities for analyzing models less visible or hidden to common analysis techniques. In this paper, the different techniques are compared on which research techniques have been applied

Data Mining, KDD, Data sets, Database, Mining, Clustering

"A Review: Data Mining Techniques in Clustering", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.c575-c577, August-2021, Available :http://www.jetir.org/papers/JETIR2108324.pdf

"A Review: Data Mining Techniques in Clustering", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppc575-c577, August-2021, Available at : http://www.jetir.org/papers/JETIR2108324.pdf