ida.felk.cvut.cz

Intelligent Data Analysis Research Lab - Welcome

Department of Computer Science and Engineering. Faculty of Electrical Engineering. IDA - Intelligent Data Analysis Research Lab. In IDA, we try to make computers discover knowledge in data. To this end we develop data mining. Algorithms helping us detect regularities (frequent patterns, strong associations), construct predictive models, and ultimately identify the phenomenon that generated the observed data. Our expertise includes the strong paradigm of relational data mining. Content on this site.

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Intelligent Data Analysis Research Lab - Welcome | ida.felk.cvut.cz Reviews

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Department of Computer Science and Engineering. Faculty of Electrical Engineering. IDA - Intelligent Data Analysis Research Lab. In IDA, we try to make computers discover knowledge in data. To this end we develop data mining. Algorithms helping us detect regularities (frequent patterns, strong associations), construct predictive models, and ultimately identify the phenomenon that generated the observed data. Our expertise includes the strong paradigm of relational data mining. Content on this site.

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1 czech technical university

2 about us

3 events

4 projects

5 members

6 publications

7 student opportunities

8 courses we teach

9 and machine learning

10 highlights

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czech technical university,about us,events,projects,members,publications,student opportunities,courses we teach,and machine learning,highlights,a special issue,conference we organized,e learning,authorized use

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Intelligent Data Analysis Research Lab - Welcome | ida.felk.cvut.cz Reviews

https://ida.felk.cvut.cz

Department of Computer Science and Engineering. Faculty of Electrical Engineering. IDA - Intelligent Data Analysis Research Lab. In IDA, we try to make computers discover knowledge in data. To this end we develop data mining. Algorithms helping us detect regularities (frequent patterns, strong associations), construct predictive models, and ultimately identify the phenomenon that generated the observed data. Our expertise includes the strong paradigm of relational data mining. Content on this site.

INTERNAL PAGES

ida.felk.cvut.cz

1

Intelligent Data Analysis Research Lab - Members

http://ida.felk.cvut.cz/ida/members

Department of Computer Science and Engineering. Faculty of Electrical Engineering. Faculty, head of the lab. Matěj Holec is a Ph.D. student at the Department of Cybernetics, Faculty of Electrical Engineering of the Czech Technical University in Prague (CTU). He graduated in Technical Cybernetics from CTU in 2007. His research intersts is cross-genome expression data modelling. Andrea Szabóová is a Ph.D. student at the Department of Cybernetics, Faculty of Electrical Engineering of the Czech Techn...Radom...

2

Intelligent Data Analysis Research Lab - Events

http://ida.felk.cvut.cz/ida/events

Department of Computer Science and Engineering. Faculty of Electrical Engineering. Designed and developed by IDA. Content on this site. Is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Czech Republic License.

3

Intelligent Data Analysis Research Lab - Publications

http://ida.felk.cvut.cz/ida/publications

Department of Computer Science and Engineering. Faculty of Electrical Engineering. Andrea Szabóová, Ondřej Kuželka, Filip Železný and Jakub Tolar. Prediction of DNA-binding Propensity of Proteins by the Ball-Histogram Method using Automatic Template Search. 13, Sup 10 , 2012. [ full text. Andrea Szabóová, Ondřej Kuželka, Filip Železný and Jakub Tolar. Prediction of DNA-binding proteins from relational features. 10 , 2012. [ full text. Particle and Fiber Toxicology. 9 , 2012. [ BibTeX. Petr Pošík and Jiří...

4

Intelligent Data Analysis Research Lab - About us

http://ida.felk.cvut.cz/ida/about

Department of Computer Science and Engineering. Faculty of Electrical Engineering. In IDA, we try to make computers discover knowledge in data. To this end we develop data mining. Algorithms helping us detect regularities (frequent patterns, strong associations), construct predictive models, and ultimately identify the phenomenon that generated the observed data. Our expertise includes the strong paradigm of relational data mining. Designed and developed by IDA. Content on this site.

5

Intelligent Data Analysis Research Lab - Student Opportunities

http://ida.felk.cvut.cz/ida/dpext

Department of Computer Science and Engineering. Faculty of Electrical Engineering. The list of specific topics is available only in Czech. Please contact. Us if you are interested in an English-language project assignment. Possible topics fall into areas of machine learning, data mining, evolutionary computation, intelligent optimization and the likes. Our. Designed and developed by IDA. Content on this site.

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xgene.org

XGENE.ORG

http://www.xgene.org/users/new

Register a new user. Intelligent Data Analysis Research Group.

cs.fel.cvut.cz

Department of Computer Science

http://cs.fel.cvut.cz/en/page/membership-in-organizations

Our department is a member of:. ACM SIGGRAPH -From the Association for Computing Machinery's Special Interest Group on Graphics and Interactive Techniques. Association for Computing Machinery. Czech Efficient Learning Node. Česká společnost pro kybernetiku a informatiku. Československé sdružení uživatelů TeXu. EAEEIE - European Association for Education in Electrical and Information Engineering. EUNIS-CZ European University Systems Organization. EUROGRAPHICS, The European Association for Computer Graphics.

semanti-cs.org

Participants - Semanti-CS Wiki

http://semanti-cs.org/wiki/Participants

Semanti-CS Participants / Účastníci Semanti-CS. Organizace s předběžným zájmem o účast / Interested Parties. Česká republika / Czech Republic. Zahraniční Češi a Slováci / Czechs and Slovaks abroad. Semanti-CS Participants / Účastníci Semanti-CS. STU Bratislava, PeWe Group. ZČU Plzeň, Text-Mining Research Group. Katerdra aplikovanej informatiky FMFI UK. TU Košice - Katedra Kybernetiky a Umelej Inteligencie. STU Bratislava, PeWe Group. VŠE Praha, Knowledge Engineering Group. FEL ČVUT Praha, WEBING. VŠE Pra...

xgene.org

XGENE.ORG

http://www.xgene.org/experiment/exampleresults

Brain / liver / muscle. This 3-class discrimination experiment assesses differences in brain, liver and muscle tissues. Results were generated by XGENE.ORG from a set of 134 gene expression samples collected from 3 different microarray platforms encompassing 2 organisms (homo sapiens and mus musculus). All samples were downloaded from the NCBI GEO database. NGT / IGT / DM2. A type 2 diabetes data-set obtained from Mootha et al [1] and Tomfohr et al [2] studies. In this two-class discrimination problem, w...

cs.fel.cvut.cz

Department of Computer Science

http://cs.fel.cvut.cz/en/publications

2016 Data Driven Validation Framework for Multi-agent Activity-based Models. Donahoo, M.J. 2016 Survey on Concern Separation in Service Integration. Mátl, L., Donahoo, M.J. 2016 Aspect, Rich, and Anemic Domain Models in Enterprise Information Systems. 2016 On Self-Organizing Map and Rapidly-Exploring Random Graph in Multi-Goal Planning. 2016 Loda: Lightweight on-line detector of anomalies. Aschenbrenner, V., Železný, F. Kuželka, O. 2016 Lifted Relational Neural Networks. Jakubův, J., Komenda, A. Park, H&...

xgene.org

XGENE.ORG

http://www.xgene.org/xgene/acknowledgements

XGENEORG is under development in the Intelligent Data Analysis Group. At the Department of Cybernetics. Of the Czech Technical University. Project leaders: Filip Zelezny, Jiri Klema. Developers: Matej Holec, Jiri Belohradsky. Case study data collection: Jiri Svoboda. The development is supported by several grants:. Czech Grant Agency project 201/09/1665 (MH and JB from 2009). Czech Ministry of Education project MSM6840770038 (FZ). Czech Ministry of Education project MSM6840770012 (JK).

xgene.org

XGENE.ORG

http://www.xgene.org/xgene/supported_platforms

The list of supported platforms. XGENEORG does not automatically support all microarray platforms. To support a given platform in XGENE.ORG, we first need to manually find, download and check its annotation file(s). The currently supported platforms are listed below. If you need a support for a specific platform not listed below, the best way is to join the XGENE.ORG users club. By simply telling us what you need and for what purpose. Affymetrix GeneChip Human Genome U133 Array Set HG-U133A.

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Intelligent Data Analysis Research Lab - Welcome

Department of Computer Science and Engineering. Faculty of Electrical Engineering. IDA - Intelligent Data Analysis Research Lab. In IDA, we try to make computers discover knowledge in data. To this end we develop data mining. Algorithms helping us detect regularities (frequent patterns, strong associations), construct predictive models, and ultimately identify the phenomenon that generated the observed data. Our expertise includes the strong paradigm of relational data mining. Content on this site.

ida.felk.cvut.cz

Intelligent Data Analysis Research Lab - Welcome

Department of Computer Science and Engineering. Faculty of Electrical Engineering. IDA - Intelligent Data Analysis Research Lab. In IDA, we try to make computers discover knowledge in data. To this end we develop data mining. Algorithms helping us detect regularities (frequent patterns, strong associations), construct predictive models, and ultimately identify the phenomenon that generated the observed data. Our expertise includes the strong paradigm of relational data mining. Content on this site.

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