AN INNOVATION DEVELOPMENT OF DATA TRACKING AND SECONDARY DATA ANALYSIS BY USING AUTOMATED MACHINE LEARNING MODEL

Abstract
The data analysis refers to the science of analyzing or tracking source data to draw conclusions about a given piece of information. Most of the relevant processes and techniques of data analysis are currently automated in the respective machine mechanisms and processes that are known to work on a given source data series used by the consumer. In this paper, a automated machine learning model was proposed to track and analyze the data. The Data Analytics techniques related to data analysis help to reveal measurements and trends that may be lost in the given information. The information given is used to improve processes in the guise of increasing the overall efficiency of the organization or business. Data analysis is a broad term that encompasses many types of data analysis and their respective techniques. Any specific type of information can be used with the help of data analysis techniques to gain insights into processes and business development

Authors
V. Indu Nair1,J. Gowri2
Park College of Engineering and Technology, India1,2

Keywords
Data Analysis, Automated, Machine Mechanisms, Machine Learning Model, Encompasses
Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 3 , Issue: 3 )
Date of Publication :
June 2022

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