DIAGNOSIS OF DIABETES USING CLASSIFICATION MINING
technique of diagnosing the disease leading to timely treatment of the patients. KEYWORDS. Classification
Analysis of meal patterns with the use of supervised data mining
Results: This study applied both data mining techniques to the food Another widely used supervised technique is a decision tree.
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Irrigation Water Requirement Prediction through Various Data
Keywords: Irrigation water demand forecasting Data mining
JRPIT MahmoodKhan
Innovative Uses of Data Mining Techniques in the Production of
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Predicting Instructor Performance Using Data Mining Techniques in
3 June 2016 In this paper four different classification techniques—decision tree algorithms
Classification of Parkinson's Disease Using Data Mining Techniques
17 July 2015 Using the given method Bahrepour. M et al. has used various classification techniques have been used including factor analysis
JPA X
Diagnosis of Breast Cancer using Decision Tree Data Mining
This paper presents a decision tree based data mining technique for early detection of breast cancer. Breast cancer diagnosis differentiates benign (lacks
An introduction to data mining
Examples. • Techniques. – Decision trees MARS
ac presentD C data mining r brookes
Performance Evaluation of the GIS-Based Data-Mining Techniques
14 Oct 2019 Data-Mining Techniques Decision Tree Random. Forest
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A comparison of data mining techniques for credit scoring in banking
20 Mar 2009 and regression trees. Experimental studies using real world data sets have demonstrated that the classification and regression.