Reviews
Now Reading
Massive Online Analysis
0
Review

Massive Online Analysis

Overview
Synopsis

MOA is the most popular open source framework for data stream mining, with a very active growing community (blog). It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

Category

Data Analysis Software Free

Features

•Machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
•Stream mining in real time, and large scale machine learning.

License

Proprietary

Price

Contact for Pricing

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

Massive Online Analysis

What is best ?

•Machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
•Stream mining in real time, and large scale machine learning.

What are the benefits ?

• Easily used with Apache Flink, Apache Storm, S4 or Samza
• Handles complex knowledge workflows
• Enables multi-label classification
• Enables evaluation of large data sets
• Enables evaluation of data stream mining

Rating
Our Rating
User Rating
Ease of use
7.6
Features & Functionality
7.6
Advanced Features
7.6
Integration
7.6
Customer Support
7.6
Performance
7.6
Implementation
Renew & Recommend
Bottom Line

Massive Online Analysis consists of a collection of machine learning algorithms and an open source framework that enables data stream mining, regression, clustering, classification, outlier, detection, concept drift detection, and recommender systems.

7.6
Our Rating
User Rating
You have rated this

Massive Online Analysis (MOA) is a framework that is open source used in stream mining of data. Massive Online Analysis consists of a collection of machine learning algorithms such as regression, classification, clustering, detection, outlier, recommender systems, and concept drift detection. Massive Online Analysis also features tools used in evaluation of data stream mining. Massive Online Analysis is ideal for data scientists as it performs big data stream mining in real time and also perform large scale machine learning. The mining algorithms available in MOA can be extended and achieve new stream generators or evaluation measures. Massive Online Analysis features the Apache SAMOA feature. Apache SAMOA is simply a streaming machine learning framework that is distributed and consists of an abstraction in the programming used in streaming machine learning of distributed algorithms. Apache SAMOA enables users develop new ML algorithms with directly dealing with the complex distributed stream processing engines available. Users using Apache SAMOA have the ability of developing distributed streaming ML algorithms and execute them on multiple DSPEs. Massive Online Analysis also provides a feature known as ADAMS. ADAMS in full is Advanced Data mining And Machine Learning System. ADAMS is aimed at facilitating quick building and maintaining data driven, reactive workflows and easy integration into business processes. This is achieved due to its flexible workflow engine. Massive Online Analysis also features the MEKA project that facilitates open source implementation of methods used for multi-label evaluation and classification. Massive Online Analysis provides real time analytics for streams of data makes it ideal for data scientists to be able to processes large data sets using the provided tools and solutions.

Massive Online Analysis
Top Ten
PAT Index™
 
1
Orange Data mining
 
2
R Software Environment
 
3
Weka Data Mining
 
4
Tableau Public
 
5
Arcadia Data
 
6
Microsoft R
 
7
Shogun
 
8
ITALASSI
 
9
DataMelt
 
10
ELKI
Heat Index
 
 
 
 
 
The Latest
 
Read More
98.25
Editor's Picks
 
 
 
 
Go To Data Analysis Software Free
Filter reviews
User Ratings





User Company size



User role





User industry





Ease of use
Features & Functionality
Advanced Features
Integration
Customer Support
Performance
Implementation
Renew & Recommend

What's your reaction?
Love It
0%
Very Good
0%
INTERESTED
0%
COOL
0%
NOT BAD
0%
WHAT !
0%
HATE IT
0%