[PDF] Top 20 Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study
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Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study
... of data mining techniques, we can exploit furtive and precious information through medicine data ...information, study and analyses are too ...through data and extract valuable ... See full document
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A Data Mining System for Predicting University Students’ Graduation Grades Using ID3 Decision Tree Algorithm
... a case study on educational data mining to identify up to what extent the enrolment data can be used to predict students’ ...enrolment data of information system students of Open ... See full document
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Data Mining for Detecting E-learning Courses Anomalies: An Application of Decision Tree Algorithm
... (DT) algorithm selects attributes according to its importance and its impact on learners' ...obtained algorithm shows that the score is the most influencing one giving the best ...the case of a score ... See full document
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Improved C4.5 Decision Tree Classifier Algorithm for Analysis of Data Mining Application
... C4.5 algorithm [8] [9] generates a decision tree through learning from a training set, in which each example is structured in terms of attribute-value ...the decision tree is obtained ... See full document
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Applications of Operations Research and Data Mining Techniques in the Healthcare Sector
... Data mining though has great importance in the area of medicine and a lot of scope , for now it is just an academic exercise with only a few success stories ...of Healthcare has always been slow to ... See full document
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Analytical Research on Decision Tree Algorithm and Naive Bayesian Classification Algorithm for Data Mining
... positive decision may be different than that of a true ...loan application decisions and target marketing mail ...an application that tries to identify households that are likely to respond to mail ... See full document
12
Data Mining Techniques for Predicting Immunize-able Diseases: Nigeria as a Case Study
... (3) data mining techniques: ANN, Decision Tree Algorithm and Naïve Bayes ...These data mining techniques provided the means by which hidden information were discovered for ... See full document
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Title: Analytical Study of Data Mining Applications in Malaria Prediction and Diagnosis
... Data mining in healthcare medicine deals with learning models to predict patients’ ...disease. Data mining applications can greatly benefit all parties and modules involved in the ... See full document
10
An Improved Data Utility Model For Privacy Preserving Data Mining Using Decision Tree Algorithm
... their data but they are worried on discloser of data and ...previous data model for reducing the data dimensions and improving the data utility and performance in terms of resources ... See full document
7
Study and Analysis of Data mining Algorithms for Healthcare Decision Support System
... training data, naive Bayes assumes that a new record with that category of the predictor has zero ...training data have no records with owns yacht = 1, for any new records where owns yacht = 1, naive Bayes ... See full document
8
Predicting and Analysis of Student Performance Using Decision Tree Technique
... education data modelling. There is an increase in their application within the last six years ...this study measures the student performance by using data mining technique like ... See full document
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Optimization of C4.5 Decision Tree Algorithm for Data Mining Application
... the tree. The operation of decision trees is based on the ...of decision trees is the fact that knowledge can be extracted and represented in the form of classification (if-then) ...In ... See full document
5
Weather Prediction Using J48, EM And K-Means Clustering Algorithms
... the tree structure having root node, intermediate nodes and leaf ...the tree contain a decision and that decision leads to our ...result. Decision tree is a decision ... See full document
7
A Survey on Comparative Study of Decision Tree Methods in Data Mining
... CHAID algorithm build non binary tree which is based on simple algorithm and suited for large dataset and also CHAID algorithm gives multiple ...CHAID algorithm is applied for both ... See full document
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A survey on utilization of data mining approaches for dermatological (skin) diseases prediction
... the decision boundary defined by the distance to the nearest training ...final decision rule. In this study, it was obtained the best performance combining the classifiers using the “mean rule” ... See full document
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Title: DATA MINING TO ELICIT PREDOMINANT FACTORS CAUSING INFERTILITY IN WOMEN
... Data Mining may be defined as the composite of techniques employed to detect patterns in large datasets to extract hidden pieces of ...of data. While statisticians have for some time been performing ... See full document
5
An Empirical Comparison of Data Mining Techniques in Medical Databases
... Data mining has a long history, with strong roots in statistics [1], machine learning (ML), database research (BR) and artificial intelligence ...(AI). Data mining has become a technology in ... See full document
5
Decision Tree Approach for Predicting Customers Credit Risk
... and decision trees for ...when data have severe skews and they are producing random ...at data, the classification is called apriori classification else if classes are created by looking at ... See full document
5
Algorithm to detect nitrogen foliar deficiency in bean crops applying digital image processing and data mining
... correct application in bean crops, aiming to increase productivity and reduce costs with fertilizers, is a great challenge, which has a solution based on the use of precision farming ...a data mining ... See full document
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DATA MINING ANALYSIS OF IMPACT OF FAST FOOD AMONG CHILDREN: A DISTRICT WIDE CASE STUDY
... Preparing Data: This may not be an onerous task if a data warehouse contains the required data, since most of this must have already been done when data was loaded into the ...a data ... See full document
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