[PDF] Top 20 Data Mining : A prediction of performer or underperformer using classification
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Data Mining : A prediction of performer or underperformer using classification
... Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to ... See full document
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Building Predictive Models For Data Mining Projects
... educational data mining to identify up to what extent the enrolment data can be used to predict student‟s ...enrolment data of open polytechnic of New Zealand to get two decision trees ... See full document
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Stock data prediction using predictive data mining techniques
... algorithm in R tool [15] was used. Boruta is a machine learning algorithm used to find relevant and important features for a given dataset i.e. used to solve the minimal- optimal problem. The minimal-optimal problem is ... See full document
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A review on stock data prediction using predictive data mining techniques
... proper prediction could be made in lieu of future decisions to be ...of prediction of stock market, we have a stock dataset with 21 features, 57772 data entries and target at 22nd ...binary ... See full document
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IJCSMC, Vol. 8, Issue. 9, September 2019, pg.01 – 10 A Comparative Study between Data Mining Classification and Ensemble Techniques for Predicting Survivability of Breast Cancer Patients
... for classification as well as ...of data is available and one is interested in obtaining a more robust estimate of a statistical ...a prediction and the results are averaged to give a more robust ... See full document
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Comparative Analysis of Various Data Mining Techniques on Educational Datasets
... A classification model can be represented in different forms like neural network and decision tree which is shown in ...in data and well suited for prediction or forecasting ... See full document
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Classification Utility & Procedures for Recognition of Heart Disease: A Review
... disease prediction‖ was studied by Carlos Ordonez [9]. The assessed data set encompassed medical records of people having heart disease with attributes for risk factors, heart perfusion measurements and ... See full document
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Kidney Disease Prediction Using Data Mining Classification Techniquesand ANN
... Information mining is a procedure of separating valuable data from enormous measure of ...Information mining has been in numerous areas like picture mining, assessment mining, web ... See full document
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Construction Cost Overturn Prediction Using Artificial Neural Network on Text and Numerical Data
... overruns using text mining, numerical data and ensemble ...numerical data to produce a prediction of cost overrun using data mining classification ... See full document
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Heart Disease Prediction System Using Data Mining Techniques
... develop classification models for identifying IHD patients on a data obtained from measurements of cardiac magnetic field at 36 locations (6 × 6 matrices) above the torso 6 ... See full document
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A Comparative Analysis of Classification Algorithms on Weather Dataset Using Data Mining Tool
... and outlook. It’s done by gathering the information regarding this state of the atmosphere at a given location thus applies scientific understanding to predict but the temperature will modification over the course of ... See full document
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The Elements of Statistical Learning in Colon Cancer Datasets: Data Mining, Inference and Prediction
... Classification is done in various purposes like Predicting of tumour cells into benign or malignant, classifying the secondary structure of proteins into alpha-helixes, beta-sheets or random coils, Categorizing ... See full document
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A Novel Hybrid Approach Of Adaboostm2 Algorithm And Differential Evolution For Prediction Of Student Performance
... The prediction of performance of student is a very important task for institutions of higher ...of data mining classifcation techniques to improve the prediction accuracy of student ...times, ... See full document
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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
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Diagnosis of heart diseases using data mining
... of Data mining Algorithms The algorithm used Accuracy Time taken Naïve Bayes ...the data for accurate result when compared to other ...the classification algorithm like Naïve Bayes, Decision ... See full document
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A COMPETENT CLASSIFICATION ALGORITHM FOR THE PREDICTION OF TOBACCO SMOKE DISEASE USING DATA-MINING
... Farla Lynn Kaufman, Martin Kharrazi, Gerald Nicholas Delorenze, Brenda Eskenazi And John Thomas Bernert(2002): Using multiple regression, the number of smokers in the household accounted for 11% of the variation ... See full document
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AGRICULTURAL SOIL LIME STATUS ANALYSIS USING DATA MINING CLASSIFICATION TECHNIQUES
... Data Mining is one of the emerging research fields in Agriculture soil ...of Data Mining Classification Techniques in agricultural field on analyzing the soil ...So, prediction ... See full document
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Data Mining: A prediction for Student's Performance Using Classification Method
... applied data mining technique, which employs a set of pre-classified examples to develop a model that can classify the population of records at ...network-based classification algorithms. The ... See full document
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AN EFFICIENT CLASSIFICATION ALGORITHM FOR THE PREDICTION OF DISEASES USING DATA- MINING
... the data instances so that we can classify them the best is said to have the highest information ...the data instances falling within its category have the same value for the target variable, then we ... See full document
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Diabetes data prediction using data classification algorithm
... the classification algorithms are compared by utilizing matrix and classification ...diabetes data for his effort and the decision tree using WEKA has been used to put up the prediction ... See full document
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