Analyzing anomalies in the business processes using R and D3.js
An opening for the Text Matching Hackathon
https://whyr.pl/foundation/2021/hackathon/
Stream - https://youtu.be/cBINdqdk6NE
Agenda
- What do we do in R&D Unit at the Financial Crime Unit(FCU) ?
- Anomalies in the business processes using
- Finding anomalies using Self Organizing Maps (SOM) in R
* Quick intro about anomaly detection concept
* How to detect anomalies using SOM ?
* SOM in R
- Application:
* Applying SOM to find anomalies using R
* Example: Financial process
* Finding anomalies and bottlenecks using D3.js
* Example: Recruitment process
Speakers:
Tomasz Turski - Director, Head of Technology at PwC FCU
Agnieszka Arcisewska - Senior Manager, Head of R&D at PwC FCU
Olgun Aydin - Technical Lead, Data Science Team at PwC FCU
Adam Staszewski - Expert Data Scientist, Data Science Team at PwC FCU
Bartosz Prusinowski - Data Scientist, Data Science Team at PwC FCU
Krystian Zielinski - Data Scientist, Data Science Team at PwC FCU
Maciej Sykulak - Data Scientist, Data Science Team at PwC FCU
Mikolaj Jarzynka - Junior Data Scientist, Data Science Team at PwC FCU
Więcej informacji: https://www.meetup.com/Spotkania-Entuzjastow-R-Warsaw-R-Users-Group-Meetup/even...