prof. Ing. RNDr. Martin Holeňa, CSc.

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.

Applications of Methods of Knowledge Engineering in Data Mining

Program
Standard projects
Provider
Czech Science Foundation
Code
GA201/08/0802
Period
2008 - 2012

Constructing Advanced Comprehensible Classifiers

Program
Standard projects
Provider
Czech Science Foundation
Code
GA13-17187S
Period
2013 - 2015

Data-mining of non-structured data

Period
2016
Description
The project is focused on data mining of non-structured data from large-scale sources. The data are represented by textual and image/video information. To porcess the data, selected methods of artificial intelligence such as neural networks/deep learning, evolutionary algorithms and methods of image processing will be used. 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.

Fusion-Based Knowledge Discovery in Human Activity Data

Program
Standard projects
Provider
Czech Science Foundation
Code
GA18-18080S
Period
2018 - 2021
Description
One of the key tasks faced by the rapidly developing area of knowledge discovery in multimedia data, especially from video data, is detecting various human activities. The project will have two objectives, both belonging to basic research: On the one hand, it will contribute to further development of methods for the discovery of different kinds of knowledge in video data recording human activities, such as knowledge concerning shape, motion, color, background, scene, person-object interactions, or thermal infrared images making use of the available experimental environment at the Image Processing Laboratory at FIT CTU. On the other hand, it will perform research into different ways of fusion of multiple classification or regression models in such knowledge discovery tasks. In connection with that objective, the project will rely on the previous experience of its team members from research into combining classifiers and aggregating regression models.

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 and tools for knowledge discovery in databases

Program
Standard projects
Provider
Czech Science Foundation
Code
GA201/05/0325
Period
2005 - 2007
Description
The project objective is to develop new methods and tools for KDD (Knowledge Discovery in Databases). The project is focused on the whole KDD process, from business and data understanding down to presentation of the results. That requires involvement of several branches of informatics, mathematics and integration with other knowledge technologies. This integration is understood in two ways. The first is related to utilization of the KDD results in applications of other knowledge technologies, the other is related to utilization of knowledge technologies to intensify the KDD process. The project follows up the applicant''s and co-applicants'' long-term activities. Related to these activities are internationally acclaimed results, experience with European and national grants, experience from both practical applications and teaching. The methods and tools being developed follow the line of reached results in the area of support of various phases of the KDD process. The project results shall be implemented

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.