Difference between revisions of "Analysis of multi-machine/multi-sensor data"

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(Created page with "{{StudentProjectTemplate |Summary=Data mining on multi-machine/multi-sensor time series data |Keywords=data mining, sensors, time series |Supervisor=Hadi Fanaee-T (www.fanaee....")
 
 
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|Summary=Data mining on multi-machine/multi-sensor time series data
 
|Summary=Data mining on multi-machine/multi-sensor time series data
 
|Keywords=data mining, sensors, time series
 
|Keywords=data mining, sensors, time series
|Supervisor=Hadi Fanaee-T (www.fanaee.com)
+
|Supervisor=Hadi Fanaee-T (www.fanaee.com), Mahmoud Rahat
 
|Level=Master
 
|Level=Master
 
|Status=Open
 
|Status=Open
 
}}
 
}}
 
This is a fantastic opportunity to work with Alfa Laval, a world's leader and pioneer in producing separator machines. This data mining project aims to generate insights from multi-machine/multi-sensor time series data generated by Alfa Laval machines. Various problems such as clustering, co-clustering, anomaly and outlier detection, and sequence mining can be investigated depending on the student's interests. Please contact supervisor via email to discuss more: hadi.fanaee@hh.se
 
This is a fantastic opportunity to work with Alfa Laval, a world's leader and pioneer in producing separator machines. This data mining project aims to generate insights from multi-machine/multi-sensor time series data generated by Alfa Laval machines. Various problems such as clustering, co-clustering, anomaly and outlier detection, and sequence mining can be investigated depending on the student's interests. Please contact supervisor via email to discuss more: hadi.fanaee@hh.se

Latest revision as of 14:36, 22 October 2020

Title Analysis of multi-machine/multi-sensor data
Summary Data mining on multi-machine/multi-sensor time series data
Keywords data mining, sensors, time series
TimeFrame
References
Prerequisites
Author
Supervisor Hadi Fanaee-T (www.fanaee.com), Mahmoud Rahat
Level Master
Status Open


This is a fantastic opportunity to work with Alfa Laval, a world's leader and pioneer in producing separator machines. This data mining project aims to generate insights from multi-machine/multi-sensor time series data generated by Alfa Laval machines. Various problems such as clustering, co-clustering, anomaly and outlier detection, and sequence mining can be investigated depending on the student's interests. Please contact supervisor via email to discuss more: hadi.fanaee@hh.se