Prediction of Heart Diseases in Data Mining Techniques

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-24 Number-1
Year of Publication : 2015
Authors : M.Sathish, D.Sridhar
  10.14445/22312803/IJCTT-V24P109

MLA

M.Sathish, D.Sridhar "Prediction of Heart Diseases in Data Mining Techniques". International Journal of Computer Trends and Technology (IJCTT) V24(1):45-49, June 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Data mining technology provides a user- oriented approach to novel and hidden patterns in the data and discovering association rules in medical data to predict heart disease. mapping medical data to a transaction format suitable for mining association rules and identifying useful constraints. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain.

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Keywords
Pruning-Classification Association Rule, Apriori algorithm, Naïve bayes