scholarly journals Survey on classifier algorithms for health care system in diabetes

2018 ◽  
Vol 7 (2.26) ◽  
pp. 19
Author(s):  
Krishnamoorthy P ◽  
Dr R. Gobinath
Keyword(s):  
Diabetes Mellitus ◽  
Data Mining ◽  
Health Care ◽  
Missing Values ◽  
Research Work ◽  
Data Mining Technique ◽  
Mining Technique ◽  
Use Of Data ◽  
Major Chronic Disease ◽  
Human Diabetes

Health care is huge, complex and heterogeneous platform for finding out missing values as well as predicting human diabetes with the use of data mining techniques. Diabetes mellitus is a major chronic disease which can be a challenging issue among worldwide. An effective medical diagnosis can be possible by discovering necessary information from medical dataset. The diabetes affected zone patterns can be identified with the proper implementation of data mining technique. This paper focuses about diabetes mellitus and research work carried out on data mining technique to solve diabetes mellitus. This paper also focuses on taking a various measurement points and techniques adopted by different researches, and discusses about the recent and effective algorithm to short out diabetes mellitus.  

scholarly journals Design and Implementation of Rainfall Prediction Model using Supervised Machine Learning Data Mining Technique s

2021 ◽  
Vol 1 (2) ◽  
pp. 20-26
Author(s):  
Deepak Sharma ◽  
◽  
Dr. Priti Sharma ◽  
Keyword(s):  
Data Mining ◽  
Prediction Model ◽  
Missing Values ◽  
Market Analysis ◽  
Supervised Machine Learning ◽  
Weather Data ◽  
Complex Data ◽  
Data Mining Technique ◽  
Rainfall Prediction ◽  
Mining Technique

Data mining is a rapidly developing technology that has enriched a lot of field such as business analysis, market analysis, weather forecasting, stock market analysis and many more. It starts with collecting data sets from reliable sources and pre-processing that data. There are some anomalies associated with data collected in large volumes such as outliers, missing values, and duplicated values. Remove these kinds of anomalies is teamed as pre-processing of data. In this paper, collection of weather data and pre-processing it for rainfall prediction model using Rapid Miner tool has been discussed. Also, artificial neural network data mining techniques is used to design a rainfall prediction model. ANN classification techniques is a complex data mining technique results in high accuracy in prediction of rainfall.

Sign in / Sign up

Export Citation Format

Share Document