Massive Online Analysis (MOA) is a free

open-source software Open-source software (OSS) is computer software that is released under a license in which the copyright holder grants users the rights to use, study, change, and distribute the software and its source code to anyone and for any purpose. Op ...

project specific for

data stream mining Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read o ...

with

concept drift In predictive analytics and machine learning, concept drift means that the statistical properties of the target variable, which the model is trying to predict, change over time in unforeseen ways. This causes problems because the predictions become ...

. It is written in

Java Java (; id, Jawa, ; jv, ꦗꦮ; su, ) is one of the Greater Sunda Islands in Indonesia. It is bordered by the Indian Ocean to the south and the Java Sea to the north. With a population of 151.6 million people, Java is the world's List ...

and developed at the

University of Waikato The University of Waikato ( mi, Te Whare Wānanga o Waikato), is a Public university, public research university in Hamilton, New Zealand, Hamilton, New Zealand established in 1964. An additional campus is located in Tauranga. The university perfo ...

New Zealand New Zealand ( mi, Aotearoa ) is an island country in the southwestern Pacific Ocean. It consists of two main landmasses—the North Island () and the South Island ()—and over 700 smaller islands. It is the sixth-largest island count ...

Description

MOA is an open-source framework software that allows to build and run experiments of machine learning or data mining on evolving data streams. It includes a set of learners and stream generators that can be used from the Graphical User Interface (GUI), the command-line, and the Java API. MOA contains several collections of machine learning algorithms: *

Classification Classification is a process related to categorization, the process in which ideas and objects are recognized, differentiated and understood. Classification is the grouping of related facts into classes. It may also refer to: Business, organizat ...

** Bayesian classifiers *** Naive Bayes *** Naive Bayes Multinomial ** Decision trees classifiers *** Decision Stump *** Hoeffding Tree *** Hoeffding Option Tree *** Hoeffding Adaptive Tree ** Meta classifiers *** Bagging *** Boosting *** Bagging using ADWIN *** Bagging using Adaptive-Size Hoeffding Trees. *** Perceptron Stacking of Restricted Hoeffding Trees *** Leveraging Bagging *** Online Accuracy Updated Ensemble ** Function classifiers *** Perceptron ***

Stochastic gradient descent Stochastic gradient descent (often abbreviated SGD) is an iterative method for optimizing an objective function with suitable smoothness properties (e.g. differentiable or subdifferentiable). It can be regarded as a stochastic approximation of ...

(SGD) *** Pegasos ** Drift classifiers ***Self-Adjusting Memory ***Probabilistic Adaptive Windowing ** Multi-label classifiers **

Active learning Active learning is "a method of learning in which students are actively or experientially involved in the learning process and where there are different levels of active learning, depending on student involvement." states that "students partici ...

classifiers * Regression ** FIMTDD ** AMRules * Clustering ** StreamKM++ ** CluStream ** ClusTree ** D-Stream ** CobWeb. * Outlier detection ** STORM ** Abstract-C ** COD ** MCOD ** AnyOut *

Recommender system A recommender system, or a recommendation system (sometimes replacing 'system' with a synonym such as platform or engine), is a subclass of information filtering system that provide suggestions for items that are most pertinent to a particular u ...

s ** BRISMFPredictor *

Frequent pattern mining Frequent pattern discovery (or FP discovery, FP mining, or Frequent itemset mining) is part of knowledge discovery in databases, Massive Online Analysis, and data mining; it describes the task of finding the most frequent and relevant patterns i ...

** Itemsets ** Graphs * Change detection algorithms These algorithms are designed for large scale machine learning, dealing with concept drift, and big data streams in real time. MOA supports bi-directional interaction with

Weka (machine learning) Waikato Environment for Knowledge Analysis (Weka), developed at the University of Waikato, New Zealand, is free software licensed under the GNU General Public License, and the companion software to the book "Data Mining: Practical Machine Learning ...

. MOA is

free software Free software or libre software is computer software distributed under terms that allow users to run the software for any purpose as well as to study, change, and distribute it and any adapted versions. Free software is a matter of liberty, no ...

released under the

GNU GPL The GNU General Public License (GNU GPL or simply GPL) is a series of widely used free software licenses that guarantee end users the four freedoms to run, study, share, and modify the software. The license was the first copyleft for general us ...

References

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External links

MOA Project home page at University of Waikato in New Zealand

SAMOA Project home page at Yahoo Labs
Data mining and machine learning software Free science software Java (programming language) software Free data analysis software

Description

See also

References

External links