[PDF] Top 20 Analytical Research on Decision Tree Algorithm and Naive Bayesian Classification Algorithm for Data Mining
Has 10000 "Analytical Research on Decision Tree Algorithm and Naive Bayesian Classification Algorithm for Data Mining" found on our website. Below are the top 20 most common "Analytical Research on Decision Tree Algorithm and Naive Bayesian Classification Algorithm for Data Mining".
Analytical Research on Decision Tree Algorithm and Naive Bayesian Classification Algorithm for Data Mining
... Dichotomiser) algorithm and Naïve Bayesian Classification algorithm for data ...by data mining move beyond the analyses of past events provided by retrospective tools ... See full document
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A Review on Injury Severity in Traffic System using Various Data Mining Techniques
... using classification & regression ...a decision tree which predicts causes of accidents and accident prone ...various data mining techniques and tells Random forest Outperforms than ... See full document
6
A Data Mining System for Predicting University Students’ Graduation Grades Using ID3 Decision Tree Algorithm
... 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 Polytechnic of New Zealand to ... See full document
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Assessment of Decision Tree Algorithms on Student’s Recital
... behaviors. Data Mining is used in various domains and disciplines to solve an existing problem or to envisage ...different Data mining techniques are Clustering, Association, ... See full document
7
Data Mining Techniques for Predicting Immunize-able Diseases: Nigeria as a Case Study
... for classification and regression, and the Naïve Bayesian classifier the MM was ...(3) data mining techniques: ANN, Decision Tree Algorithm and Naïve Bayes ...These ... See full document
11
EDM: An analysis of learner’s academics performance based on Frequent Pattern Tree Algorithm
... of algorithm and statistical analysis used in this ...for mining algorithm specifically on educational ...many decision tree algorithms like ID3, J48, ...for classification of ... See full document
5
Practice of Data Mining in Formative Evaluation
... of data mining algorithms: naive Bayes classification, ...C4.5 decision tree, and Logistic regression; then, we use the student online learning data table to achieve the ... See full document
9
Classification with an improved Decision Tree Algorithm
... Avni S. Galathiya is a student of Master of Technology in computer Engineering at Dharmsinh Desai University, Nadiad, Gujarat, India. She is also an Assistant Professor at R. C. Technical Institute of Computer ... See full document
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Predicting and Analysis of Student Performance Using Decision Tree Technique
... Data mining is very promising as a new effective technique for decision making ...Educational data mining is an analysis of discipline to developing the methods for exploring the unique ... See full document
10
Diabetes data prediction using data classification algorithm
... that data mining can add by means of necessary benefits to the blood stockpile ...entire research work. Classification rules performed well in the classification of blood donors, whose ... See full document
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Online Full Text
... one algorithm is always superior to others, and links the abilities of models to task ...the decision tree with network algorithms and concludes that parallel type problems are not common for ... See full document
6
A Survey on Decision Tree Algorithm for Classification
... In classification, the cases are placed in differing ...for classification based data ...include decision tree, k-Nearest Neighbor, Bayesian and Neural-Net based ...the ... See full document
5
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) ...operations ... See full document
5
Classification and performance evaluation using data mining algorithms
... paper, classification of the data collected from students of polytechnic institute has been ...This data is pre-processed to remove unwanted and less meaningful ...using decision tree ... See full document
6
Comparative Study Over Recent Classification Techniques
... - Classification is one the most useful and important ...techniques. Classification techniques are useful to handle large amount of ...data. Classification is used to predict categorical class ... See full document
6
An Empirical Comparison of Data Mining Techniques in Medical Databases
... of data mining techniques for classifying in medical databases namely, naive Bayesian tree, RIpple DOwn Rule, naive Bayes and decision tree algorithm J48 are ... See full document
5
Hybrid Decision Tree and Naïve Bayes Classifier for Predicting Study Period and Predicate of Student’s Graduation
... student data at institutionsof higher education to discover hidden patterns and knowledge by designing an information ...hybrid decision tree and naïve bayes classifier to predict the study period ... See full document
7
Decision tree Classification and Model Evaluation for Breast Cancer Survivability: A Data Mining Approach
... 3. Ferlay J, Soerjomataram I, Ervik M, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D, Bray, F. GLOBOCAN (2012) v1.0, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 11 [Internet]. Lyon, ... See full document
9
Application of Deep Neural Network for Diabetes Classification and Prediction
... analytic data, the massive amount of data generated by the healthcare systems, that will be used to create medical intelligence which is drive medical prediction and ...medical data available will ... See full document
7
Checking Language Dependent Accuracy of Web Applications using Data Mining Techniques
... In this paper, a new approach for checking language dependent accuracy of web applications developed using PHP is presented. Bugs or errors are detected in the source code. After that, clustering and ... See full document
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