Ing. Tomáš Řehořek, Ph.D.

Projects

Advanced Methods of Data Processing and Information Mining

Period
2015
Description
The project focuses on perspective and ever-expanding field of data processing and extraction of information of valuable content from the data. The methods for information extraction are increasingly using selected methods of artificial intelligence such as neural networks and evolutionary algorithms. Combined models or algorithms for text processing (text mining) come to the fore. The need of these topics is evident from the fact that each year, the volume of data is doubling. At the same time, only 20 % of the available data are processed.

Modern data-mining methods for advanced extraction of information from data

Program
Studentská grantová soutěž ČVUT
Code
SGS17/210/OHK3/3T/18
Period
2017 - 2019
Description
The project focuses on perspective and ever-expanding field of data processing and extraction of information of valuable content from the data. The methods for information extraction are increasingly using selected methods of artificial intelligence such as neural networks and evolutionary algorithms. Combined models or algorithms for text processing (text mining) come to the fore. The need of these topics is evident from the fact that each year, the volume of data is doubling. At the same time, only 20 % of the available data are processed.

New directions in blending evolutionary techniques with data mining

Program
Studentská grantová soutěž ČVUT
Code
SGS13/098/OHK3/1T/18
Period
2013
Description
This project is targeted to basic research in areas emerging by novel approaches to application of evolutionary techniques in data mining

New Methods of Preprocessing and Data Mining

Period
2014
Description
The project focuses on perspective and ever-expanding field of data pre-processing and extraction of information of valuable content from the data. The methods for information extraction are increasingly using selected methods of artificial intelligence such as neural networks and evolutionary algorithms. Combined models or algorithms for text processing (text mining) come to the fore. The need of these topics is evident from the fact that each year, the volume of data is doubling. At the same time, only 20 % of the available data are processed.