Survey on Classification Techniques Used in Data Mining and their Recent Advancements
Data mining is an emerging field which has attracted a large number of information industries due to huge volume of data managed in recent days. Efficient data mining requires a good understanding of the data mining techniques to improve business opportunity and to improve the quality of service provided. In response to such needs, this paper provides a review of traditional classification techniques used for data mining. The main attention is on classification techniques like decision tree induction, Bayesian networks, rule based classification, k-nearest neighbor classification techniques which are used to mine databases.
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