KNIME is an open-source GUI platform incorporating data mining and machine learning (ML) capabilities. Despite being free, it has not gained much popularity in Bulgaria yet, and it is in competition with other GUI miners such as the well-known SAS’ Enterprise Miner and IBM’s SPSS Modeler, and others like RapidMiner and Alteryx. While some organizations have turned entirely to Python or R, because they are free to utilize and flexible to implement changes, users tend to spend much of the time learning, rather than using the code at hand. And this may be at the expense of the analytical expertise.
Either with simple or complex operations, KNIME helps structure, visualize and automate much of the effort on data mining, and with its constantly expanding number of extensions (modules) and integration with R and Python, it has become one of the richest data science tools.
The aim of the workshop is to present KNIME’s capabilities for usage in different scenarios, which include, but are not limited to, the following:
- Extract, transform and load (ETL) processes
- Text processing
- Statistical and ML tasks, such as segmentation, prediction, association
Duration: 4 hours
- Introduction to KNIME
- Knime workflow exercise
- Research task
Date: 29.09.2019, 15:00 – 19:00
Hardware/ Software: Please bring your laptop with an installation of the latest version of KNIME!
Bookings: There is no entrance fee; Please book your place below to guarantee a spot at the workshop!
About the presenter
Yulian Borisov holds a degree in sociology, and has experience in market research, academic research, cross-sell modelling, credit risk modelling, text mining. In the recent years, his interest in working with big amounts of data has brought him to discovering different tools for processing and analysis of structured and non-structured data. His general understanding of the analytical process and how scientific research is done, along with the variety of business areas he’s worked in, is what makes him capable of working with (and comprehending) different concepts and approaches for analysis.
This event is fully booked.