• Ms. B.Vanitha
• Mrs.G. Naga pavani

Some of the connected works depict a variety of practical techniques with the impression that none of the techniques help experts in different ways. The development and application of these techniques thus pave the path for additional study. The work that has been given also shows that using the data mining method is more effective than using other strategies. This chapter discusses the contribution to the direction to improve the QOS of the system with a discussion of research aims, motivation, and significant findings. Instead of using a whole list of features connected to the chosen dataset, selection and formation are the most applicable characteristics. The practice of removing unknown and prognostic information from a vast volume of data is known as data mining. It is a cutting-edge solution with huge potential to assist businesses and principally concentrate on the most crucial data in their data warehouses. Data mining is most frequently referred to as Knowledge Discovery in Databases (KDD). KDD is a crucial procedure for finding true, fresh, possibly beneficial, and ultimately understood patterns in data. Data mining is one of the iterative sequential elements that make up the knowledge discovery process (KDD). Over the past ten years, undertaking research utilizing ensemble learning approaches has piqued the curiosity of numerous scholars. Several authors have found a significant improvement in performances when using ensemble techniques. These ensemble methodologies have broadened their application in a number of industries, including aerospace, automotive, financial services, health care, and manufacturing. An ensemble of classifiers is a collection of independent classifiers that, when combined and evaluated separately, aid in the classification of fresh test samples. Ensemble learning has developed into one of the most in-depth fields of study for machine learning researchers in supervised learning.

Heart Disease Prediction Using ML with Increased Accuracy

"Heart Disease Prediction Using ML with Increased Accuracy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g711-g714, July-2023, Available :http://www.jetir.org/papers/JETIR2307697.pdf

"Heart Disease Prediction Using ML with Increased Accuracy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg711-g714, July-2023, Available at : http://www.jetir.org/papers/JETIR2307697.pdf