• Manjula.K
• G.Sathish

Data mining looks through a large amount of data to extract useful information. Diabetes has affected over 425 million people World Wide with a majority of them being women. It is one of the World’s major diseases. According to the WHO report by 2025 this number is expected or rise to over 380 million. This paper features various Data Mining techniques such as Classification, Clustering, and Association, pattern Recognitions, Diagnosis of Diabetes and also highlights related work to analyses and predict Diabetes disease diagnosis.

"A Survey on Diabetes Disease Diagnosis using various Data Mining Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.634-639, August-2018, Available :http://www.jetir.org/papers/JETIRC006428.pdf

"A Survey on Diabetes Disease Diagnosis using various Data Mining Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp634-639, August-2018, Available at : http://www.jetir.org/papers/JETIRC006428.pdf