EXPLORING DATA MINING CLASSIFICATION APPROACH IN WEKA OPEN SOURCE
Journal Title: International Research Journal in Global Engineering and Sciences - Year 2016, Vol 1, Issue 2
Abstract
The extraction of information from huge amount of data set is called data mining. Classification and prediction are two forms of data analysis that can be used to extract models describing important data classes or to predict future data trends. Classification predicts categorical labels. Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka means Waikato Environment for Knowledge Analysis (WEKA). It is introduced by university of New Zealand and it has capacity to convert comma separated values file to relational table format. This research implementing the classification concept using Weka opens source using for WINE-QUALITY dataset.
Authors and Affiliations
Chithrakumar T, Thangamani M, Premalatha C
Keywords
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