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pro vyhledávání: '"Stanislav Vojíř"'
Autor:
Stanislav Vojíř, Jan Kučera
Publikováno v:
Acta Informatica Pragensia, Vol 10, Iss 3, Pp 349-369 (2021)
The World Wide Web (the Web) has become part of people's daily lives. Although the Web, like the Internet itself, was designed as a decentralized network, hand in hand with the increase in its interactivity Web users gradually concentrated on a limit
Externí odkaz:
https://doaj.org/article/7f5bd7e746e34429bbbac05b03d8d5f2
Publikováno v:
Acta Informatica Pragensia, Vol 7, Iss 1, Pp 58-73 (2018)
Data mining methods are still more popular, even in domains where there is traditionally limited support by analytical tools and where the analyst´s manual work still prevails. Using these methods in the fiscal domain enables deeper analysis and can
Externí odkaz:
https://doaj.org/article/2acec0f63cf84949ac0c2cbaee8468ad
Autor:
Stanislav Vojíř, Tomáš Kliegr
Publikováno v:
Advances in Data Analysis and Classification. 14:785-799
So far, most user studies dealing with comprehensibility of machine learning models have used questionnaires or surveys to acquire input from participants. In this article, we argue that compared to questionnaires, the use of an adapted version of a
Publikováno v:
Acta Informatica Pragensia, Vol 7, Iss 1, Pp 58-73 (2018)
Metody dolovani z dat jsou aplikovany ve stale větsi miře, a to i v domenach, ktere tradicně nemaji tak silnou podporu analytických nastrojů a kde převlada rucni prace analytika. Použiti těchto metod v oblasti fiskalnich dat umožni jejich hl
Publikováno v:
Knowledge-Based Systems. 150:111-115
EasyMiner ( http://www.easyminer.eu ) is a web-based system for interpretable machine learning based on frequent itemsets. It currently offers association rule learning (apriori, FP-Growth) and classification (CBA). EasyMiner offers a visual interfac
Autor:
Stanislav Vojíř
Publikováno v:
System approaches’15.
Publikováno v:
Rules on the Web. From Theory to Applications ISBN: 9783319098692
RuleML
RuleML
The main obstacles for a straightforward use of association rules as candidate business rules are the excessive number of rules discovered even on small datasets, and the fact that contradicting rules are generated. This paper shows that Association
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd45a02a551442f4b0d6bee2e87a161d
https://doi.org/10.1007/978-3-319-09870-8_18
https://doi.org/10.1007/978-3-319-09870-8_18
Autor:
Tomáš Kliegr, Milan Šimůnek, Stanislav Vojíř, Tomáš Marek, Radek Skrabal, Andrej Hazucha, David Chudán
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783642334856
ECML/PKDD (2)
ECML/PKDD (2)
I:ZI Miner ( sewebar.vse.cz/izi-miner ) is an association rule mining system with a user interface resembling a search engine. It brings to the web the notion of interactive pattern mining introduced by the MIME framework at ECML'11 and KDD'11. In co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::083594801b97fa36f5d38ef8606ac60e
https://doi.org/10.1007/978-3-642-33486-3_52
https://doi.org/10.1007/978-3-642-33486-3_52
Publikováno v:
Proceedings of the 2011 workshop on Predictive markup language modeling.
This paper introduces an attempt for a holistic approach to integrating background knowledge with PMML in the area of association rule mining. An XML format for capturing background knowledge inspired by PMML that scopes pre-processing and background
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e22774643636457e438aa79df5cbcdaf
http://www.scopus.com/inward/record.url?eid=2-s2.0-84919458788&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84919458788&partnerID=MN8TOARS