A Succinct Reflection on Data Classification Methodologies

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Provided by: International Journal of Computer Science Issues
Topic: Data Management
Format: PDF
Classification is a data mining (machine learning) technique used to assign group membership to various data instances. Indeed there are many classification techniques available for a scientist wishing to discover a model for the user's data. This diversity can cause trouble as to which method should be applied to which data set to solve a particular domain concentrated problem. This paper presents several major classification techniques like decision tree induction, bayesian classification, rule-based classification, classification by back propagation, support vector machines, lazy learners, genetic algorithms, rough set approach, and fuzzy set approach.
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