Search Techniques for Automated Proposal of Data Mining Schemes
Result 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.
Keywords
The result's identifiers
Result code in IS VaVaI
Result on the web
DOI - Digital Object Identifier
Alternative languages
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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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applied Computer Sciences in Engineering
ISBN
978-3-319-50879-5
ISSN
1865-0929
e-ISSN
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Number of pages
7
Pages from-to
84-90
Publisher name
Springer
Place of publication
Cham
Event location
Bogota
Event date
Sep 21, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—
Result type
D - Article in proceedings
CEP
IN - Informatics
Year of implementation
2016