Many companies have recognized data mining as an important technique that will have an impact on business performance.T. PAGESME Technical ConferencePage, T., ''A Classification of Data Mining Techniques'', Feb
Data mining techniques extracted the hidden patterns among the data and with build the model of databases design the decision support system that in the field of decision will help to doctors. In this article, which is a review article, its purpose is to discuss on the application of data ...
Statistical data-mining (DM) and machine learning (ML) are promising tools to assist in the analysis of complex dataset. In recent decades, in the precision of agricultural development, plant phenomics study is crucial for high-throughput phenotypin
A Review of Data Mining Classification Techniques Applied for Diagnosis and Prognosis of the Arbovirus-Dengue. International Journal of Computer Science Issues. 2011;8(6):322-8.A.ShameemFathima ,D.Manimegalai and NisarHundewale, "A Review of Data Mining Classification Techniques Applied for ...
Data Mining Classification: Alternative Techniques Bayesian Classifiers Introduction to Data Mining, 2nd Edition by Tan, Steinbach, Karpatne, Kumar Bayes Classifier A probabilistic framework for solving classification problems Conditional Probability: Bayes theorem: ...
Data mining plays a promising and significant role in this aspect. Data Mining techniques can be used for disease prediction. In this research, the classification based data mining techniques are applied to healthcare data. This research focuses on the prediction of heart disease using three ...
Data Mining Classification: Alternative Techniques Lecture Notes for Chapter 4 Instance-Based Learning Introduction to Data Mining , 2nd Edition by Tan, Steinbach, Karpatne, Kumar Instance Based Classifiers Examples: Rote-learner Memorizes entire training data and performs classification only if attributes...
Data mining techniques can provide a solution in these situations. For this purpose, several data mining methods can be used. Thus, the aim of the current drive is to find out the class of fetal state of cardiotocograms from the collected patient dataset with the help of mining procedures....
statistical classification and data mining techniques. Traditional statistical classification methods (e.g., Fisher's Linear Discriminant Analysis (LDA) and Logistic Regression (LR)) have been extensively used in medical classification problems for which the criterion variable is dichotomous [12–18]. ...
Three data mining methods have been applied: logistic regression, classification trees and factor analysis. Using the cattle holding population in Wales, a holding was considered positive if at least bovine TB or one of the ten most frequently diagnosed