Georg Heiler
Georg Heiler
Home
Blog
Publications
Projects
Lecturing
Talks
Contact
Light
Dark
Automatic
big-data
AI basierte Root Cause Analyse von CPD Störquellen in Docsis Netzen
Good quality network connectivity is ever more important. For hybrid fiber coaxial (HFC) networks, searching for upstream \emph{high noise} in the past was cumbersome and time-consuming. Even with machine learning due to the heterogeneity of the network and its topological structure, the task remains challenging. We present the automation of a simple business rule (largest change of a specific value) and compare its performance with state-of-the-art machine-learning methods and conclude that the precision@1 can be improved by 2.3 times. As it is best when a fault does not occur in the first place, we secondly evaluate multiple approaches to forecast network faults, which would allow performing predictive maintenance on the network.
May 10, 2022 12:00 AM — May 12, 2022 12:00 AM
Georg Heiler
PDF
Slides
Identifying the root cause of cable network problems with machine learning
Good quality network connectivity is ever more important. For hybrid fiber coaxial (HFC) networks, searching for upstream high noise in …
Georg Heiler
,
Thassilo Gadermaier
,
Thomas Haider
,
Allan Hanbury
,
Peter Filzmoser
Preprint
Cite
Inferring supply networks from mobile phone data to estimate the resilience of a national economy
National economies rest on networks of millions of customer-supplier relations. Some companies – in the case of their default …
Tobias Reisch
,
Georg Heiler
,
Christian Diem
,
Stefan Thurner
Preprint
Cite
Mobility analytics
Mobility monitoring in Austria during the COVID NPI
Nov 16, 2020 12:00 AM
Vienna, Austria
Georg Heiler
Slides
Video
Run the latest version of spark
Execute the latest version of spark on HDP.
Georg Heiler
Last updated on Oct 29, 2020
4 min read
Production grade pyspark jobs
Use additional python packages with pyspark
Georg Heiler
Last updated on Nov 19, 2020
2 min read
Deterministic scale-out for spark jobs under increased load
Make spark jobs scale reliably using iteration
Georg Heiler
Last updated on Oct 29, 2020
2 min read
Parallel aggregation of dataframes
Use idempotency of RDD’s to your advantage
Georg Heiler
Last updated on Oct 29, 2020
1 min read
Geospatial binning with hexagons on spark
Bring hexagons as efficient spatial operations to spark
Georg Heiler
Last updated on Nov 28, 2019
2 min read
data processing
recent history of data processing.
Aug 4, 2019 9:00 AM — 11:00 AM
Yogyakarta, Indonesia
Georg Heiler
Follow
»
Cite
×