samoa (Scalable Advanced Massive Online Analysis) is a platform for mining big data streams. It provides a collection of distributed streaming algorithms for the most common data mining and machine learning tasks such as classification, clustering, and regression, as well as programming abstractions to develop new algorithms. It features a pluggable architecture that allows it to run on several distributed stream processing engines such as Storm, S4, and Samza. samoa is written in Java, is open source, and is availabl
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with exam...
Java 8 has introduced new capabilities such as lambda expressions and streams which simplify data-pa...
Abstract — Big data is a recent term Appeared that has to define the vey large amount of data that s...
The development of new technologies is responsible for the generation and storage of continuous and ...
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running expe...
The development of new technologies is responsible for the generation and storage of continuous an...
The Analysis of MassIve Data STreams (AMIDST) Java toolbox provides a collection of scalable and par...
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running expe...
Abstract—In the last years the process of examining large amounts of different types of data, or Big...
© 2019 Association for Computing Machinery. All rights reserved. Processing high-volume, high-veloci...
Next generation real-time applications demand big-data infrastructures to process huge and continuou...
Massive Online Analysis (MOA) is a software environment for implementing algorithms and run-ning exp...
Nowadays, the big data marketplace is rising rapidly. The big challenge is finding a system that can...
Data streams are pervasive but implementing online analysis of streaming data is often nontrivial as...
The Waikato Environment for Knowledge Analysis (Weka) is a comprehensive suite of Java class librari...
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with exam...
Java 8 has introduced new capabilities such as lambda expressions and streams which simplify data-pa...
Abstract — Big data is a recent term Appeared that has to define the vey large amount of data that s...
The development of new technologies is responsible for the generation and storage of continuous and ...
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running expe...
The development of new technologies is responsible for the generation and storage of continuous an...
The Analysis of MassIve Data STreams (AMIDST) Java toolbox provides a collection of scalable and par...
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running expe...
Abstract—In the last years the process of examining large amounts of different types of data, or Big...
© 2019 Association for Computing Machinery. All rights reserved. Processing high-volume, high-veloci...
Next generation real-time applications demand big-data infrastructures to process huge and continuou...
Massive Online Analysis (MOA) is a software environment for implementing algorithms and run-ning exp...
Nowadays, the big data marketplace is rising rapidly. The big challenge is finding a system that can...
Data streams are pervasive but implementing online analysis of streaming data is often nontrivial as...
The Waikato Environment for Knowledge Analysis (Weka) is a comprehensive suite of Java class librari...
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with exam...
Java 8 has introduced new capabilities such as lambda expressions and streams which simplify data-pa...
Abstract — Big data is a recent term Appeared that has to define the vey large amount of data that s...