Data Mining is the extraction of hidden predictive information from large database. Classification is the process of finding a model that describes and distinguishes data classes or concept. This paper performs the study of prediction of class label using C4.5 and Naïve Bayesian algorithm.C4.5 generates classifiers expressed as decision trees from a fixed set of examples. The resulting tree is used to classify future samples.The leaf nodes of the decision tree contain the class name whereas a non-leaf node is a decision node. The decision node is an attribute test with each branch (to another decision tree) being a possible value of the attribute. C4.5 uses information gain to help it decide which attribute goes into a decision node. A Naïv...
Classification is a data mining (machine learning) technique used to predict group membership for da...
Data Mining aims to discover novel, interesting, and usefulknowledge and patterns from databases. Cl...
Machine learning is now in a state to get major industrial applications. The most important applicat...
Classification is an important data mining technique which predicts the class of a given data sample...
Classification is an important data mining technique which predicts the class of a given data sample...
Classification is a widely used technique in the data mining domain, where scalability and efficienc...
Classification is a widely used technique in the data mining domain, where scalability and efficienc...
Classification and clustering techniques in d ata mining are useful for a wide variety of real time ...
Data miners have access to a significant number of classifiers and use them on a variety of differen...
It is often difficult for data miners to know which classifier will perform most effectively in any ...
International audienceA new supervised learning algorithm using naïve Bayesian classifier is present...
Classification is the form of data analysis that can be used to extract models describing import dat...
Data mining is the practice of automatically searching large stores of data to discover patterns and...
Classifiers can be either linear means Naive Bayes classifier or non-linear means decision trees.In ...
Classification is a data mining (machine learning) technique used to predict group membership for da...
Classification is a data mining (machine learning) technique used to predict group membership for da...
Data Mining aims to discover novel, interesting, and usefulknowledge and patterns from databases. Cl...
Machine learning is now in a state to get major industrial applications. The most important applicat...
Classification is an important data mining technique which predicts the class of a given data sample...
Classification is an important data mining technique which predicts the class of a given data sample...
Classification is a widely used technique in the data mining domain, where scalability and efficienc...
Classification is a widely used technique in the data mining domain, where scalability and efficienc...
Classification and clustering techniques in d ata mining are useful for a wide variety of real time ...
Data miners have access to a significant number of classifiers and use them on a variety of differen...
It is often difficult for data miners to know which classifier will perform most effectively in any ...
International audienceA new supervised learning algorithm using naïve Bayesian classifier is present...
Classification is the form of data analysis that can be used to extract models describing import dat...
Data mining is the practice of automatically searching large stores of data to discover patterns and...
Classifiers can be either linear means Naive Bayes classifier or non-linear means decision trees.In ...
Classification is a data mining (machine learning) technique used to predict group membership for da...
Classification is a data mining (machine learning) technique used to predict group membership for da...
Data Mining aims to discover novel, interesting, and usefulknowledge and patterns from databases. Cl...
Machine learning is now in a state to get major industrial applications. The most important applicat...
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