• D.Karthiga
• Dr.P.Sumitra

Data Mining includes a set of techniques and methodologies directed to excision of data from the vast amount of database. Classification is the most important technique to classify several kinds of data used in day-to-day life in medical field. The early detection of the heterogeneous neurological disorders through its symptoms and treatment can be essential in increasing the life expectancy of the patient affected with a particular disease. The aim is to contemplate the prognosis of several disorders through its symptoms for the practitioners to detect and provide correct treatment in the primordial stage. According to this review, different methods for classification techniques such as Decision tree induction, Rule-Base method, Naive Bayes, Support Vector Machine have been briefly discussed.

Decision Tree Induction, Rule-Base Method, Naïve Bayes, Support Vector Machine

"A Comparative study of Classification techniques in data mining for distinctive Neurological disorders", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.339-345, May-2019, Available :http://www.jetir.org/papers/JETIR1905D47.pdf

"A Comparative study of Classification techniques in data mining for distinctive Neurological disorders", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp339-345, May-2019, Available at : http://www.jetir.org/papers/JETIR1905D47.pdf