[PDF] Top 20 Classification and performance evaluation using data mining algorithms
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Classification and performance evaluation using data mining algorithms
... Educational data mining (EDM) is a field that exploits machine-learning, statistical and data-mining algorithms over the different types of educational ...analyse data in order ... See full document
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A Comparative Study on Data Mining Algorithms for Classification & Regression
... storing data in large ...“Data Mining” ...applications,data mining algorithms are classified into five types such as, classification, regression, segmentation, ... See full document
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Performance Evaluation of Various Classification Algorithms
... new data based on a similarity ...training data points for each test data point and takes the most frequently occurring class and assign that class to the test ... See full document
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A Comparative Study of Classification Techniques in Data Mining Algorithms
... classifier that must have the capacity to accurately arrange both training and test cases. A test example is an input object and the algorithm must predict an output value. Consider the sample training data set ... See full document
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Comparative Study and Analysis of Classification Algorithms In Data Mining Using Diabetic Dataset
... four classification models, generated with the selected data mining algorithms, are compared by using the following evaluation measures: % of correctly/incorrectly classified ... See full document
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Effective Evaluation Of Classification Of Indian News Using Various Data Mining Algorithm
... understood. Classification is an important data mining technique with broad ...classifies data of various ...a performance evaluation of classification using ... See full document
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Clustering and Classification Algorithms in Data Mining
... process, data are gathered from a numbers of sources and integrated into unified ...the data to eliminate inconsistencies, ambiguities, errors and incompleteness of ...that, data is transformed into ... See full document
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Title: A NOVEL APPROACH FOR PREDICTING PHISHING WEBSITES USING THE MAPREDUCE FRAMEWORK
... Websites using Map Reduce Framework " to overcome the difficulty and complexity in detecting and predicting phishing ...on using MapReduce framework, classification Data Mining ... See full document
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Title: Student Performance Analysis Using Data Mining Technique
... of data mining in higher education and explains how data mining saves resources while maximizing efficiency in ...on data mining models are the research topics of several papers ... See full document
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Practice of Data Mining in Formative Evaluation
... formative evaluation, and the principles of three kinds of data mining algorithms: naive Bayes classification, ...learning data table to achieve the key calculation process of ... See full document
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Data Mining: A prediction for Student's Performance Using Classification Method
... educational data mining concerns with developing methods for discovering knowledge from data that come from educational ...educational data mining to improve graduate students’ ... See full document
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Performance of Classification in Medical Data Mining
... of data mining in highly visible fields like e-business, marketing and retail has led to its application in other industries and ...in classification and also for dimensionality ...medical ... 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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Performance and Evaluation of Classification Data Mining Techniques in Diabetes
... selectedclassification algorithms on obtained, significant subset ...better performance algorithm, because it gives higher ...other classification algorithms before applying feature ...of ... See full document
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A Comparative Analysis of Classification Algorithms on Weather Dataset Using Data Mining Tool
... Then the dataset was run on Random Tree classifier which classifies all instances correctly and has 100 % accuracy.Then classification was done using REP Tree classifier and we found the accuracy was ... See full document
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A comprehensive review on privacy preserving data mining
... transactional data are proposed by Chan and Keng ...association mining rules and explored the possibil- ity of its ...proposed algorithms for allocating transactions to outsourced servers are based ... See full document
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Performance Analysis of Data Mining Classification Algorithms to Predict Diabetes
... Support vector machines (SVMs) are supervised learning models that analyze data and recognize patterns. They can be used for classification and regression tasks. Given a set of training samples labelled as ... See full document
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... the data mining. Today we are using the electronic devices to store the information they have ability to save the very large amount of information so that to operate the information manually is very ... See full document
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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 ...the algorithms did not change dramatically with noise though CART was the most robust and RSES the least robust ... See full document
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Study of Various Classification Algorithms using Data Mining
... Other approach, which takes into account label correlations is Label Powerset method (LP). Each different combination of labels in a data set is considered to be a single label. After transformation a single-label ... See full document
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