Using A Dynamic Weighting Schema With Memory To Evolve Clusters By Forgetting Old Samples
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About The Author

David G. Marquez currently works at the University San Pablo CEU. David does research in Artificial Intelligence. Their most recent publication is ' A novel and simple strategy for evolving prototype based clustering'.

                       

Using A Dynamic Weighting Schema With Memory To Evolve Clusters By Forgetting Old Samples

The Internet of Things (IoT) and the advances in sensors have drastically increased the number of devices connected to the Internet. This has led to a great increase in real-time data available from sources such as industrial processes, networking traffic, social networks, bank data, etc. Those data sources provide large volumes of data, generated continuously as data streams, potentially unbounded. Usually, it is not possible to store all the information generated from a data stream; it must be processed, analyzed,...

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