• K K Vinoth Kumar
• Dr. K P Lochanambal

Data mining techniques involved in extracting needful information from large amount of structured and unstructured data, and generate accurate and new set of data to any individuals or organizations; Data Mining techniques fails to make decisions because it retrieves only relevant information. To make machines decisions we using predictive automated advance technologies like machine learning techniques to improve the use of technologies in many real-time applications to improve the accuracy, efficiency in finding the solution by making right decision without human interruption to any kind of applications. In this paper we did survey on various tools, techniques, algorithms, applications using machine techniques based on size, feature, characteristics of the data, and nature of the application domain. This architectural framework will be very useful for future machine learning and Deep learning solutions to make decisions by learning different algorithms for different input data models.

Data Mining, supervised Learning, Unsupervised Learning, Artificial Intelligence, Machine Learning, Deep Learning.

"A Survey on Data Mining Tasks with Machine Learning Techniques, Tools, Applications and Open Challenges", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.d61-d66, April-2022, Available :http://www.jetir.org/papers/JETIR2204306.pdf

"A Survey on Data Mining Tasks with Machine Learning Techniques, Tools, Applications and Open Challenges", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppd61-d66, April-2022, Available at : http://www.jetir.org/papers/JETIR2204306.pdf