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summerschool2018:lecture3 [2018/04/25 17:20]
summerschool2018:lecture3 [2018/05/18 15:43] (current)
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-**Title**: ​TBA+**Title**: ​Exploring Algorithms and Approaches for the Real-Time Analytics of Data Streams
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-**Abstract**: ​TBA+**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 
 +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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