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| | [[https://fredericstahl.wordpress.com/|{{ :summerschool2018:frederic.jpg?direct&150 }}]] | | | [[https://fredericstahl.wordpress.com/|{{ :summerschool2018:frederic.jpg?direct&150 }}]] | | ||
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| - | **Title**: TBA | + | **Shared talk**: Monday, July 2nd, 14:00-15:30 |
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| - | **Abstract**: TBA | + | **Title**: Exploring Algorithms and Approaches for the Real-Time Analytics of Data Streams |
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| + | **Abstract**: Developments in sensor and data acquisition technology and the increase of applications that require processing and analysing a constant, infinite stream of data records challenge our current data mining algorithms. Such applications are for example Internet of Things, Mirco-Blog rule mining (i.e. from Twitter), Sensor Networks, etc. This tutorial introduces the field of Data Stream Mining, relevant algorithms and includes some hands on tasks. Topics covered are: | ||
| + | * Data Stream Concept Drift Detection | ||
| + | * Predictive Data Stream Analytics | ||
| + | * Cluster Analysis on Data Streams | ||
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| + | Practical tasks will require the prior installation of the Massive Online Analysis Software Release 2017.06 (https://moa.cms.waikato.ac.nz/downloads/). | ||
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