[PDF] Top 20 Comparison of Classification Techniques For Diabetes Dataset Using Weka Tool
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Comparison of Classification Techniques For Diabetes Dataset Using Weka Tool
... analysis, classification extracts models describing important data ...more classification algorithms and methods in pattern recognition, machine learning and statistics which are proposed by ... See full document
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Comparison of Various Classification Techniques Using Different Data Mining Tools for Diabetes Diagnosis
... different classification methods using WEKA, TANA- GRA and MATLAB tool on Diabetes Dataset, specifi- cally Pima Indian Diabetes ...or classification of large scale ... See full document
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Investigation of Lazy Classification in Data Mining using WEKA tool
... (2015) Comparison of Different Classification Techniques Using WEKA for Hematological Data American Journal of Engineering Research (AJER) Volume-4, ... See full document
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Performance Analysis of Data Mining Classification Techniques on Public Health Care Data
... data using various data mining techniques. Data mining techniques proved to be very effective in extracting information from the public healthcare ...mining classification techniques ... See full document
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A Hybrid Classification Model For Diabetes Dataset Using Decision Tree
... E.G.Yildirim et al.,[7] in his research work the predictive data mining has also been applied in dosage planning for the type 2 diabetes. He also proposed two models namely Adaptive Neuro Fuzzy Inference System ... See full document
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Sentiment Analysis of College Reviews using Machine Learning & Data Mining
... document classification. The classification algorithm we have used is the “Random Forest” for our dataset which has performed reasonably well as compared to the popular “Naïve Bayes” algorithm which ... See full document
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... education dataset for Decision trees classifier techniques is shown below with graph according to the Table ...educaton dataset with the different size of training ...the dataset training size ... See full document
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Diabets Dataset Classification and Analysis
... comparison between classification using different classification tools like XLMiner, WEKA, Rapid Miner. Correctly classified data is used to evaluate the dataset performance. ... See full document
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A Review of Different Classification Techniques in Machine Learning using Weka for Plant Disease Detection
... identified. WEKA is a data analysis tool for machine learning ...learning classification is a vital technique with more applications in various ...machine-learning techniques used for the ... See full document
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DIAGNOSE AND PREDICT DIABETIC HEART DISEASES USING DATA MINING CLASSIFICATION TECHNIQUES
... Using WEKA tool, we extract common attributes (age, sugar, pres) from diabetes and heart disease dataset, new dataset(DH_Disease) was created with 12 ... See full document
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Knowledge Discovery in Heart Dataset using Classification Techniques
... mining techniques and tools are used by researchers in the field of healthcare, particularly for prediction of ...mining techniques on healthcare issues, benefits, application and use on healthcare ...our ... See full document
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A Comparative Research of Rule based Classification on Dataset using WEKA TOOL
... mining techniques have been developing and using in data mining projects recently including classification, clustering, prediction, sequential patterns and decision ...tree. Classification is ... See full document
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ID3 Classifier for Pupils' Status Prediction
... various techniques like Classification, Decision Trees, Rule Induction, Nearest Neighbors, Neural Networks, Clustering, Genetic Algorithms, Exploratory Factor Analysis and Stepwise ...tree techniques ... See full document
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Evalution of Dataminig for Prediction Techniques Based on Weka Tool
... Organization: in the sending section, you convey your certainties mining disclosures to typical business undertaking tasks. The expertise or actualities saw throughout insights mining way should be made smooth to ... See full document
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Hand Gesture Classification Using Different Classifiers With Weka
... etc., Weka is a free set of software for machine learning, containing a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy ... See full document
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Diagnosing Diabetes using Data Mining Techniques P. Suresh Kumar and V. Umatejaswi*
... International Diabetes Federation (IDF), with type2 there are about 366 million people in 2011 that got affected and by 2030 it may be increased to 552 ...of diabetes mellitus are reduced by ... See full document
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Predicting and Analysis of Students’ Academic Performance using Data Mining Techniques
... The world holds on huge amounts of data that increase daily and it is very important to analyze this data to discover the useful infor- mation and knowledge from it. Data mining (DM) or knowledge discovery from data ... See full document
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A Novel Comparative Study on Data Mining Tools
... Analysis. Weka is a collection of machine learning algorithms for data mining ...The Weka (pronounced Weh-Kuh) workbench contains a collection of several tools for visualization and algorithms for analytics ... See full document
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An Overview of Clustering Techniques in Data Mining
... mining techniques like classification; clustering are apply on the student’s data ...These techniques can also be combined with other specific discovery model to increase the capacity of the ...many ... See full document
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Application of Data Mining Technique for Wheat Crop Yield Forecasting for Districts of Gujarat State
... For the development of wheat crop yield model the modified model of Hendrick and Scholl (Agrawal et al. 1986) has been used for this research work for selected districts of Gujarat state. Different classification ... See full document
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