Datenschutzerklärung|Data Privacy

A. Borusan

10.12.2015, 10 Uhr c.t. Raum EW 201, Eugene-Paul-Wigner-Gebäude Hardenbergstraße 36, 10625 Berlin: "Data Stream Processing and Machine Learning for Data Stream" (Albert Bifet, Telecom ParisTech)

In this talk I will introduce the basic concepts of stream processing,
and machine learning for data streams. Data stream mining or real time
analytics is becoming the fastest and most efficient way to obtain
useful knowledge from what is happening now, allowing organizations to
react quickly when problems appear or to detect new trends helping to
improve their performance. I will discuss lessons learned and open
source projects started at the industry where I have worked, Huawei
and Yahoo. In concrete, I will present Apache SAMOA that includes
algorithms for the most common machine learning tasks such as
classification and clustering. It provides a pluggable architecture
that allows it to run on Apache Flink, but also with other several
distributed stream processing engines such as Storm and Samza.