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Massive Online Analysis

Index Massive Online Analysis

Massive Online Analysis (MOA) is a free open-source software project specific for data stream mining with concept drift. [1]

7 relations: Concept drift, Data mining, Data stream mining, Machine learning, Moa (disambiguation), Outline of machine learning, Weka (machine learning).

Concept drift

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

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Data mining

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

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Data stream mining

Data Stream Mining is the process of extracting knowledge structures from continuous, rapid data records.

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Machine learning

Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

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Moa (disambiguation)

Moa are extinct giant flightless birds native to New Zealand.

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Outline of machine learning

The following outline is provided as an overview of and topical guide to machine learning: Machine learning – subfield of computer sciencehttp://www.britannica.com/EBchecked/topic/1116194/machine-learning (more particularly soft computing) that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.

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Weka (machine learning)

Waikato Environment for Knowledge Analysis (Weka) is a suite of machine learning software written in Java, developed at the University of Waikato, New Zealand.

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Redirects here:

MOA (Massive Online Analysis), Massive online analysis.

References

[1] https://en.wikipedia.org/wiki/Massive_Online_Analysis

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