[PDF] Top 20 Performance Analysis of Data Mining Classification Algorithms to Predict Diabetes
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Performance Analysis of Data Mining Classification Algorithms to Predict Diabetes
... Traditional data analysis techniques fail to extract information out of large data ...tombs. Data mining is a blend of traditional data analysis methods with sophisticated ... See full document
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Classification Algorithms in Data Mining – A Survey
... Decision tree algorithms are easy to understand and implement. C4.5 is used for constructing decision tree. ID3 and C4.5 uses Shannon entropy. From the constructed decision tree decision rules can be formulated. ... See full document
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A Complete Study of Algorithm Selection in Data Mining
... Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data ...Consequently, data ... See full document
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An Experimental Analysis of Various Algorithms for Classification in Educational Data Mining with the help of LMS
... individual data are ...I. Data preparation is most important process as based on the prepared, data analysis is done and the output is ...obtained. Data preparation is one of the ... See full document
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International Journal of Computer Science and Mobile Computing
... important data mining task is classification which is used to predict target categories of data ...noisy data and also makes the data to use for dynamic ...classify ... See full document
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Performance Analysis of Data Mining Classification Techniques
... This Classification is named after Thomas Bayes(1702-1761), who proposed the Bayes ...the data characteristics which affect the performance of Naïve ... See full document
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Performance Analysis of Clustering Algorithms in Data Mining
... of data into groups according to the similarity. Compared with the data classification, the data clustering is an unsupervised learning process, it does not need a labeled data set as ... See full document
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Educational Mining: A Comparative Study of Classification Algorithms Using WEKA
... of classification algorithms. Analysis of classification algorithm says each algorithm has its own merits and demerits and the techniques have to be selected based on the situation ...student ... See full document
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... B. Mean Absolute Error: The measure of the Mean Absolute Error of the education dataset for Decision trees classifier techniques is shown below with graph according to the Table No.8.1 The Table No8.1 and Figure No8.2 ... See full document
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Application of Data Mining Technique for Wheat Crop Yield Forecasting for Districts of Gujarat State
... to predict the crop yield at district and state ...the classification techniques of data mining1. He used the data from 2001-2006 and split the data into training set and test set and ... See full document
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Data Mining Techniques In HR Analytics: A Review Of Domain Specific Concepts And Technicalities
... various data mining techniques like to predict performance of employees of basically using decision tree ...employee performance. Fan et al llustrates (2012) the use of data ... See full document
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Predicting the Performance of Students in Higher Education using Data mining Classification Algorithms
... a data set of size 50 MCA students for mining educational data to analyze students’ ...for classification and to predict the performance of the ...the data mining ... See full document
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Analyze Data Mining Algorithms For Prediction Of Diabetes
... KNN is known as a instance-based learning, or also popoular as a lazy learning, where the role is only estimated locally and all calculation is postponed until classification.The k-NN algorithm is the most simplest among ... See full document
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Implementation of Data Mining Algorithms for Diabetes Prediction
... learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java ...test data to predict diabetes. Weka ... See full document
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Performance and Evaluation of Classification Data Mining Techniques in Diabetes
... andcomparative analysis for improving prediction accuracy of diabetes patients in three ...original diabetes patient datasetscollected from UCI ...of diabetes patient from wholediabetes ... See full document
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IJCSMC, Vol. 7, Issue. 1, January 2018, pg.53 – 60 A STUDY ON PREDICTION OF DIABETIC DISORDER USING CLASSIFICATION BASED APPROACHES
... Abstract— Data mining has a considerable potential in health cooperation industry to enable health position by systematically handling data, look the composure and improve care with minimized ... See full document
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DATA MINING CLASSIFICATION TECHNIQUES ON THE ANALYSIS OF STUDENT’S PERFORMANCE.
... conducted data mining research by the naïve Bayes classification method on some sample data of student’s group in the Post Graduate Diploma in Computer Application (PGDCA) in Dr ...Bayes ... See full document
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Classification Algorithms in Data Mining : A Survey
... a data mining task that assigns items in a collection to target categories or ...of classification is to accurately predict the target class for each case in the ...a classification ... See full document
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A Comparative Analysis of Classification Algorithms on Weather Dataset Using Data Mining Tool
... to predict but the temperature will modification over the course of some ...to predict whether the play can happen based on current weather values such as temperature, humidity, windy, outlook 11 ... See full document
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Classification and performance evaluation using data mining algorithms
... of performance, knowledge, score, or mark is ...Regression analysis finds the relationship between a dependent variable and one or more independent ...In classification individual items are placed ... See full document
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