• Ajay Kumar
• Preeti Sondhi

Data mining has made considerable growth in recent time but the main drawback is missing of data has remained a confront for data mining algorithms. The main task of data mining is to traverse the large amount of different types and categorize and Summarize it. In current world data mining is moreover accepted and make huget growth within the field of all kinds of application in software feild. Data mining is a process of extracting business useful data from large databases by using data mining tools and techniques. Data mining techniques have used to improve performance in Healthcare, Educational, Business areas by extracting unknown and applying data mining tools and algorithms techniques. Data mining is process used to extract data and discover knowledge from it and presenting it to humans by more understandable format and data mining is used to analyzing the data that stores in large data warehouses and discover last unknown unknown data structures and relations out of large data. This is a review paper that introduces the study of classification technique on the basis of the algorithms which is used to make prediction on large data set to analyze the future prediction in healthcare sector. This paper focus on various ensemble learning techniques like Boosting and Bagging and also comparison of ensemble learning techniques with each other by using base classifiers.

Data mining, Classification, Ensemble algorithms, Data mining tools

"REVIEW PAPER ON DATA MINING TECHNIQUES, ALGORITHMS AND TOOLS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.d901-d907, August-2021, Available :http://www.jetir.org/papers/JETIR2108480.pdf

"REVIEW PAPER ON DATA MINING TECHNIQUES, ALGORITHMS AND TOOLS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppd901-d907, August-2021, Available at : http://www.jetir.org/papers/JETIR2108480.pdf