MOA - Massive Online Analysis Icon

MOA - Massive Online Analysis

Big Data Stream Analytics Framework.

5.0 Stars (5)
649 Downloads (This Week)
Last Update:
Download moa-release-2016.04.zip
Browse All Files
Windows Mac Linux

Screenshots

Description

A framework for learning from a continuous supply of examples, a data stream. Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning.

MOA - Massive Online Analysis Web Site

KEEP ME UPDATED

User Ratings

★★★★★
★★★★
★★★
★★
5
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
Write a Review

User Reviews

  • 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Thanks very good project! +

    Posted 06/08/2013
  • 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    very good project, thanks!

    Posted 04/06/2013
  • 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Very nice app :)

    Posted 04/24/2012
  • 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Very Helpful :)

    Posted 04/16/2012
  • 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Love it!

    Posted 12/31/2011
Read more reviews

Additional Project Details

Intended Audience

Science/Research, Advanced End Users, Developers

User Interface

Java Swing, Command-line

Programming Language

Java

Registered

2007-11-06

Thanks for helping keep SourceForge clean.

Screenshot instructions:
Windows
Mac
Red Hat Linux   Ubuntu

Click URL instructions:
Right-click on ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies
X

Briefly describe the problem (required):

Upload screenshot of ad (required):
Select a file, or drag & drop file here.

Please provide the ad click URL, if possible:

Get latest updates about Open Source Projects, Conferences and News.

Sign up for the SourceForge newsletter:

No, thanks