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 ...
Get Getting Started with Greenplum for Big Data Analytics now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
