[PDF] Top 20 The Prediction of Best-Selling Product Using Naive Bayes Algorithm (A Case Study at PT Putradabo Perkasa)
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The Prediction of Best-Selling Product Using Naive Bayes Algorithm (A Case Study at PT Putradabo Perkasa)
... by using Knowledge Discovery Process in Database ...which product is the best-selling in 2018, so that the increase of customer’s demand can be anticipated in the following ...the ... See full document
7
Analysis and Prediction of Heart Disease Using Decision Tree and Naive Bayes
... algorithms: Naive Bayes algorithm to classify and develop a model to make a diagnosis heart attacks in the patient data set from medical practiti0ners ....Naive Bayes is the ... See full document
6
Prediction Of Performance And Probable Problems Of University Student Using Classification Techniques
... works best in the aspects of categorical input variable compared to numerical ...The Naive Bayes algorithm. The algorithm uses Bayes theorem and assumes all attributes to be ... See full document
5
Mining Road Traffic Accident Data to Improve Safety on Road related Factors for Classification and Prediction of Accident Severity
... the Naive Bayes classifier. The assessment of the model using WEKA experimenter showed that Naive Bayes algorithm outperforms with an accuracy of ... See full document
6
WEB BASED HEALTH CARE DETECTION USING NAIVE BAYES ALGORITHM
... Survivability using Data Mining Techniques”, the Sixth SIAM International Conference on Data Mining , April 22, ...Disease Prediction System Using Data Mining Techniques", IJCSNS, ... See full document
5
A Web Page Recommendation using Naive Bayes Algorithm in Hybrid Approach
... In this paper, we use Naive-Bayes algorithm for effective recommendation. It classifies the web site which is to be recommended. To effectively classify the website more feature like keywords, ... See full document
7
HEART DISEASE PREDICTION USING NAIVE BAYES AND K-MEANS TECHNIQUES
... attack prediction hybrid approach is been used, combination of the most popular clustering technique called ‘K-Means’ and as a Classifier ‘Naive Bayes’ algorithm are ... See full document
5
A Survey on Naive Bayes Based Prediction of Heart Disease Using Risk Factors
... for prediction and diagnosis of various diseases with excellent ...are using statistical and data mining techniques for the diagnosis of heart ...disease. Naive Bayes is one of the simple data ... See full document
5
Prediction and Analysis of Sentiments on Twitter Data using Hybrid Naive Bayes Approach
... hybrid naive bayes classifier by means of assimilating an English lexical dictionary called SentiWordNet to the prevailing machine learning naïve bayes classifier ...Hybrid naive bayes ... See full document
5
An Improved Traffic Crime Predictive System using Multinomial Naive Bayes Text Classification Algorithm
... of which predictive technique to use becomes even harder since no technique outperforms all others over a large set of problems. It is even difficult to find the best parameter values for a specific technique, ... See full document
8
Study Of Classification Algorithm For Lung Cancer Prediction
... Data mining is the process of automatically collecting large volumes of data with the objective of finding hidden patterns and analyzing the relationships between numerous types of data to develop predictive models. The ... See full document
8
Naive Bayes Optimization Based On Particle Swarm Optimization to Predict the Decision of Insurance Customer Candidate
... Thomas Bayes in the 18th century is a very rapid and conventional Bayesian Learning ...the Bayes theorem and the freedom hypothesis, giving rise to statistical classifiers based on ...The Naive ... See full document
7
A Framework for Child Development analysis and Learning Disability Prediction using a Hybrid Naive Bayes and Decision Tree Fusion Technique – NB Tree
... skills using machine learning ...disability prediction is to determine a child's strengths and weaknesses so that parents and school authorities can provide the best learning environment for a ...the ... See full document
7
ADVANCED K-MEANS ALGORITHM FOR BRAIN TUMOR DETECTION USING NAIVE BAYES CLASSIFIER
... clustering algorithm is the most popular and widely- used partitional clustering algorithm in ...k-means algorithm suffers from sensitive initial selection of cluster centers, and it is not easy to ... See full document
6
The Optimality of Naive Bayes
... are, naive Bayes can still be optimal if the dependences distribute evenly in classes, or if the dependences can- cel each other ...of naive Bayes. Further, we investigate the optimality of ... See full document
6
Comparison of Text Classifiers on News Articles
... itself using the training data followed by SVM, although both take a few seconds to train as well as test the ...while Naive Bayes is a good alternative with better time complexity although a little ... See full document
5
Chronic Kidney Disease Prediction based on Naive Bayes Technique
... a diagnostic result. Huge amount of unmined data is collected by the healthcare department in order to discover the hidden facts for effective diagnosis and also decision making. Data mining is defined as the process of ... See full document
7
Performance of Datamining Techniques in the Prediction of Chronic Kidney Disease
... implemented using WEKA. This study is aimed at using 3 classifiers: multilayer perceptron, naive bayes and J48 decision tree in the prediction of chronic kidney disease ...the ... See full document
6
Analysis of Data mining Algorithm in Intrusion Detection
... To update the weight of training example ei, we can estimate the likelihood of ei for each class. The probability that ei is in a class is the product of the conditional probabilities for each attributes value. ... See full document
6
MoL 2005 02: The Value of Agreement: a new Boosting Algorithm
... learning algorithm is only given a finite sample of examples, it can only se- lect a hypothesis based on limited ...the algorithm is a global ...that best predicts an arbitrary distribution P (for ... See full document
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