A Future Awareness for Healthcare Applications Using Data Mining
KT Sree, R Anil Kumar… - Advanced Production and …, 2022 - ebooks.iospress.nl
KT Sree, R Anil Kumar, G Rama Naidu
Advanced Production and Industrial Engineering, 2022•ebooks.iospress.nlThis research report showcases various data mining (DM) techniques such as Classification,
Regression, and Clustering in brief and also discusses the aptest framework method for the
healthcare industry, CRISP-DM. This report also explores the various data mining
applications in the healthcare industry. DM is utilized to extract the data from a lot of
information. DM includes two models, predictive and descriptive. Classifying data is to form
classes either with the final objective of learning new antiques or searching new areas. This …
Regression, and Clustering in brief and also discusses the aptest framework method for the
healthcare industry, CRISP-DM. This report also explores the various data mining
applications in the healthcare industry. DM is utilized to extract the data from a lot of
information. DM includes two models, predictive and descriptive. Classifying data is to form
classes either with the final objective of learning new antiques or searching new areas. This …
Abstract
This research report showcases various data mining (DM) techniques such as Classification, Regression, and Clustering in brief and also discusses the aptest framework method for the healthcare industry, CRISP-DM. This report also explores the various data mining applications in the healthcare industry. DM is utilized to extract the data from a lot of information. DM includes two models, predictive and descriptive. Classifying data is to form classes either with the final objective of learning new antiques or searching new areas. This is why specialists have for many years tried to locate the enshrouded examples in the knowledge that can be classified and contrasted as well as other concepts which are the result of common principles.
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