Search Techniques for Automated Proposal of Data Mining Schemes

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00470347" target="_blank" >RIV/67985807:_____/16:00470347 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-50880-1_8" target="_blank" >http://dx.doi.org/10.1007/978-3-319-50880-1_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-50880-1_8" target="_blank" >10.1007/978-3-319-50880-1_8</a>

Result language
angličtina
Original language name
Search Techniques for Automated Proposal of Data Mining Schemes
Original language description
Data mining schemes, or workflows, are collections of interconnected machine learning models, including preprocessing procedures, and ensembles methods combinations. The proposal of data mining schemes for a task at hand has always been a task for experienced data scientists. We will study generating and testing workflows by automated procedures. Two representations of data mining schemes are used in this paper - a linear one, and a one based on direct acyclic graphs. Efficient procedures for generating schemes are presented and evaluated by testing the generated schemes on real data.
Czech name
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Czech description
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Project
<a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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