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Getting Started with Greenplum for Big Data Analytics by Sunila Gollapudi

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Weka

Weka stands for Waikato Environment for Knowledge Analysis. It is a Java-based tool for data mining and machine learning built by the University of Waikato. The mining algorithms can directly be applied onto the data sets or can be run from the Java code. It has tools for data preprocessing, regression, clustering, classification, and many other techniques with a capability to visualize.

Visit http://www.cs.waikato.ac.nz/~ml/weka/index.html for more details.

Key features of Weka are listed below:

  • 49 data preprocessing tools
  • 76 classification/regression algorithms
  • Eight clustering algorithms
  • Three algorithms for finding association rules
  • 15 attribute/subset evaluators and 10 search algorithms for feature selection

The tool primarily has three user ...

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