Weka: A Tool for Data Preprocessing, Classification, Ensemble, Clustering and Association Rule Mining

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
The basic principle of data mining is to analyze the data from different perspectives, classify it and recapitulate it. Data mining has become very popular in each and every application. Though the authors have large amount of data but they don't have useful information in every field. There are many data mining tools and software to facilitate the users' the useful information. This paper gives the fundamentals of data mining steps like preprocessing the data (removing the noisy data, replacing the missing values etc.), feature selection (to select the relevant features and removing the irrelevant and redundant features), classification and evaluation of different classifier models using WEKA tool.

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