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.

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

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

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.

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 A Weather Forecasting Model using the Data Mining Technique

2021 ◽  
Vol 9 (VI) ◽  
pp. 2378-2383
Author(s):  
Tanvi Patil
Keyword(s):  
Data Mining ◽  
Data Model ◽  
Historical Data ◽  
Weather Forecasting ◽  
Weather Condition ◽  
Weather Conditions ◽  
Weather Data ◽  
Forecasting Model ◽  
Data Mining Technique ◽  
Mining Technique

The weather conditions are changing continuously and the entire world is suffers from the changing Clemet and their side effects. Therefore pattern on changing weather conditions are required to observe. With this aim the proposed work is intended to investigate about the weather condition pattern and their forecasting model. On the other hand data mining technique enables us to analyse the data and extract the valuable patterns from the data. Therefore in order to understand fluctuating patterns of the weather conditions the data mining based predictive model is reported in this work. The proposed data model analyse the historical weather data and identify the significant on the data. These identified patterns from the historical data enable us to approximate the upcoming weather conditions and their outcomes. To design and develop such an accurate data model a number of techniques are reviewed and most promising approaches are collected.

scholarly journals Generic Disease Prediction using Symptoms with Supervised Machine Learning

2019 ◽  
pp. 1082-1086 ◽  
Author(s):  
Ashish Kailash Pal ◽  
Pritam Rawal ◽  
Rahil Ruwala ◽  
Vaibhavi Patel
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Supervised Machine Learning ◽  
Diagnostic Model ◽  
Disease Prediction ◽  
Data Mining Technique ◽  
Mining Technique ◽  
The Common ◽  
Using Data ◽  
Health Organization

Data Mining and Machine Learning plays most inspiring area of research that become most popular in health organization. It also plays a vital part to uncover new patterns in medicinal science and services association which thusly accommodating for all the parties associated with this field. This project intend to form a diagnostic model of the common diseases based on the symptoms by using data mining technique such as classification in health domain. In this project, we are going to use algorithms like Random forest, Naive Bayes which can be utilized for health care diagnosis. Performances of the classifiers are compared to each other to find out highest accuracy. This also helps us to find out persons who are affected by the infection. The test based on the outcomes of the diseases.

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