[PDF] Top 20 DATA MINING FOR BOX COMPRESSION TEST RESULTS CLASSIFICATION USING DECISION TREE METHODS
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DATA MINING FOR BOX COMPRESSION TEST RESULTS CLASSIFICATION USING DECISION TREE METHODS
... the results of the research and discussion in the previous chapters, the author draws several conclusions, namely: Making a data mining application to classify the results of Box ... See full document
5
A Survey on Comparative Study of Decision Tree Methods in Data Mining
... ABSTRACT: Data mining is the process of identifying hidden information patterns of data based on different aspects for arranging and to make helpful ...useful data are stored in common house ... See full document
7
Improving the Student’s Performance Using Educational Data Mining
... by, data mining techniques such as data classification and decision tree methods are used to evaluate the student ... See full document
6
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 ... See full document
10
A New Decision Tree Approach to Image Data Mining and Segmentation
... a classification algorithm on the database-like table, a classifier for label prediction can be ...input data, i.e., image. As we are proposing a general image mining and image processing framework ... See full document
10
Comparative Analysis of Various Data Mining Techniques on Educational Datasets
... A decision tree is a flow chart like tree structure, where each node denotes test on an attribute value, each branch represents the result of the test, and tree leaves represent ... See full document
5
Analysis Comparison of The Classification Data Mining Method to Predictthe Decisions of Potential Customer Insurance
... the data is clean then it will do the predictions against the test data using the methods with the best accuracy values have gone through the stages in the process of comparison ... See full document
6
Prognosis of Heart Disease using Data Mining Techniques: A Comprehensive Survey
... the decision tree accuracy in recognizing patients having heart ...Discretization methods and several types of decision trees were combined by the ...of decision tree impurity ... See full document
5
Framework of Classification Algorithms
... ABSTRACT: Data mining is a standout amongst the most critical research areas in the field of computer ...science. Data mining systems are utilized for separating the hidden learning from the ... See full document
6
Data Mining Techniques in Parallel Environment A Comprehensive Survey
... Data mining has become more relevant today with the increase in the amount of data generated every ...repeated data, medical data, data on banking sectors and data on ... See full document
6
Title: DATA MINING TO ELICIT PREDOMINANT FACTORS CAUSING INFERTILITY IN WOMEN
... use data mining as a tool for analyzing clinical data records of both fertile and infertile ...patients. Data mining is a powerful tool which is currently used for extracting ... See full document
5
Appraisal of the Classification Technique in Data Mining of Student Performance using J48 Decision Tree, K Nearest Neighbor and Multilayer Perceptron Algorithms
... several data sets before and after missing values were cleaned. Results showed that the accuracy of the algorithms did not change dramatically with noise though CART was the most robust and RSES the least ... See full document
8
A survey on utilization of data mining approaches for dermatological (skin) diseases prediction
... nonlinear classification efficiently by mapping samples from low dimensional input space into high dimensional feature space with a nonlinear kernel ...the decision boundary defined by the distance to the ... See full document
12
Comparative Analysis of Classification Techniques in Data Mining Using Different Datasets
... Abstract: Data mining is the invention of knowledge and useful information from the large amounts of data stored in ...KDD. Data mining tools are used in forecasting future trends and ... See full document
10
Predicting River Pollution Using Random Forest Decision Tree with GIS Model: A Case Study of MMORS, Philippines
... The Data (water parameter result) Dissolve Oxygen (DO), Potential Hydrogen(pH), Biochemical Oxygen Demand(BOD), Total Suspended Solid(TSS), Nitrate, Phosphate, and Coliform that are being collected from January ... See full document
7
Modified Cross Validation for Improving the Accuracy Based on Distinct Classifiers
... Class for generating an alternating decision tree. This version currently only supports two-class problems. The number of boosting iterations needs to be manually tuned to suit the dataset and the desired ... See full document
9
PREDICTIVE DATA MINING FOR MEDICAL DIAGNOSIS: AN OVERVIEW OF HEART DISEASE PREDICTION
... Data mining can deliver an assessment of which courses of action prove effective by comparing and evaluating causes, symptoms, and courses of ...real-life data mining applications are ... See full document
6
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 ...weak using decision ... See full document
6
Classification and Prediction of Dermatitis Dataset using Naïve Bayes and Value Weighted Naïve Bayes Algorithms
... in data mining ...learning using Kullback-Leibler measure. Empirical results are presented comparing this new feature weighting method with some other methods for a number of ... See full document
5
Applying Fuzzy Fp-treeto Mine Fuzzy Association Rules Using Hedge Algebras Based Approach
... of data into useful knowledge. Then, the data mining techniques nowadays become a topical field of information technology in the ...world. Mining association rules has been implemented in ... See full document
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