[PDF] Top 20 Knowledge Discovery in Heart Dataset using Classification Techniques
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Knowledge Discovery in Heart Dataset using Classification Techniques
... Malarvizhi and Dr. S. Ravichandran [15] considers the diabetic and breast cancer patients details for evaluating clustering algorithms that can be used in early diagnosis. Sometimes because of poor initialization once ... See full document
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PERFORMANCE VALIDATION OF PRIOR QUANTIZATION TECHNIQUES IN OUTLIERS CLASSIFICATION USING WDBC DATASET
... classifications techniques, weighing based feature selection, and distance-based techniques are proposed to overcome the limitations in the existing classification ...outlier techniques and ... See full document
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Knowledge Discovery in Medical Database using Machine Learning Techniques
... the knowledge discovered must be previously unknown, non-trivial, and useful to the data owners ...mining techniques rely on either supervised or unsupervised learning and are grouped into four categories ... See full document
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A Survey of Heart Disease Prediction Using Classification Techniques
... of using in world ...places using. This data mining techniques are many advantages and efficient that can be heart disease ...mining techniques available are classification, ... See full document
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Role of Evolutionary Computing Techniques for Knowledge Discovery: A Survey
... supervised classification method which is considered as an efficient method for ...supervised classification method, it is a classifier which does classification based on hyper planes that separates ... See full document
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Comparison of Classification Techniques For Diabetes Dataset Using Weka Tool
... mining techniques Explorer, Experimenter and Knowledge flow that have been used by us use different algorithms such as Naïve Bayes, J48, SMO, RANDOM tree and REP ...By using these techniques ... See full document
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Decision Support System for Disease Prediction Using Clustering
... Predicting Heart Diseases Using Data Mining Classification ...to heart diseases in order to compare the performance of the implemented classifiers ...all classification algorithms are ... See full document
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Classification of Heart Disease Dataset using Multilayer Feed forward backpropogation Algorithm
... of classification, techniques from other disciplines may also be applied, such as neural networks, fuzzy and/or rough set theory, knowledge representation, inductive logic programming, or high ... See full document
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A Review on Data Mining Techniques for Heart Disease Prediction
... mining classification techniques such as Decision Tree, Artificial Neural Network, Linear Discriminant Analysis, Decision Tree and K-Nearest Neighbour ...different classification techniques in ... See full document
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Improved Heart Disease Diagnostic IoT Model Using Machine Learning Techniques
... learning classification algorithms such as SVM, Adaboost, ANN and Naïve Bayes ...paper, heart rate variability is computed to generate alerts when the patient is affected by arrhythmia ...processing ... See full document
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Analysis on Data Mining Techniques for Heart Disease Dataset
... applications. Classification trees are used to predict membership of cases or objects in the classes of a categorical dependent variable from their measurements on one or more predictor ...variables. ... See full document
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Knowledge Discovery Techniques
... pricing, selling and to design the strategies for marketing, such as catalogue design, cross marketing and customer shopping behavior analysis. However the number of possible Association Rules for a given dataset ... See full document
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Analysis of Heart Disease Prediction System using Data Mining Techniques
... the Heart disease diagnosis system using data mining ...different classification techniques such as K-means classification, Decision tree and MAFIA(A Maximal Frequent Item set) ... See full document
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EMERGENCY STATIONS IN THE GRAND MOSQUE OF MECCA AS AN APPLICATION FOR WIRELESS SENSOR NETWORKS
... gain knowledge about their subscribers and reasons that may cause them move to their ...The using of data mining techniques has become a more common means of acquiring knowledge in a number of ... See full document
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Knowledge Discovery on Agricultural Dataset Using Association Rule Mining
... these techniques can be a viable alternative to traditional decision making tools ...or Knowledge Discovery in Databases, has been accepted for a field of research agreement with the habitual ... See full document
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Volume 3, Issue 4, April 2014 Page 388
... the classification of heart disease dataset, multilayer feed forward network with backpropogation algorithm is ...outcomes. Classification is one of the important data mining techniques ... See full document
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Classification of Heart Disease Using Various Classification Techniques
... Diabetic, Heart Disease, Kidney failure and many more health related issues which are very growing ...speedily. Heart diseaseis one of the very dangerous disease. Classification is a good method ... See full document
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Cardiovascular Disease Prediction using Machine Learning Techniques
... mining techniques can predict the hidden pattern lying in the voluminous hospital data and helps us to build an effective medical diagnosis ...of heart disease is found to be the major reason for the death ... See full document
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Diabetes Prediction using Linear Regression, Decision Tree & Least Square Support Vector Machine
... scheme using Linear Regression and LS-SVM Classification techniques to predict the onset of diabetes on Prima Indian polygenic disorder dataset are demonstrated under this approach for such ... See full document
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Automated Case Generation for Recommender Systems Using Knowledge Discovery Techniques
... As we have discussed in our introduction, the ACF ap- proach to recommendation is a lazy one where all the un- derlying user data is used. The ACF user profile represents the accumulative consumption behaviour of each ... See full document
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