Data Stream Mining

Data Stream Mining

Rafael Santos

Rafael Santos

São Paulo, São Paulo

Data stream mining in applications that the data isn't stored in a database or the database is so large that we can not query fast enough.

Networking, Modern Code, Artificial Intelligence, Internet of Things

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Description

If the application data is very large and the recent data is the most important, by using data stream mining techniques we can extract knowledge to facilitate and simplify decision making. This project intends to study data streaming mining in internet networks, IoT sensors and social media. The machine learning algorithms need modifications to be adaptive and incremental. Modern code is also required to optimize computational resources.

Foto

Rafael S. added photos to project Data Stream Mining

Medium c998e101 cead 4355 a005 b5614f7dfe88

Data Stream Mining

If the application data is very large and the recent data is the most important, by using data stream mining techniques we can extract knowledge to facilitate and simplify decision making.
This project intends to study data streaming mining in internet networks, IoT sensors and social media.
The machine learning algorithms need modifications to be adaptive and incremental. Modern code is also required to optimize computational resources.

Medium foto

Rafael S. created project Data Stream Mining

Medium c998e101 cead 4355 a005 b5614f7dfe88

Data Stream Mining

If the application data is very large and the recent data is the most important, by using data stream mining techniques we can extract knowledge to facilitate and simplify decision making. This project intends to study data streaming mining in internet networks, IoT sensors and social media. The machine learning algorithms need modifications to be adaptive and incremental. Modern code is also required to optimize computational resources.

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