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eNauka >  Results >  Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms
Title: Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms
Authors: Tallón-Ballesteros, Antonio J.; Tuba, Milan  ; Xue, Bing; Hashimoto, Takako
Issue Date: 2018
Publication: Lecture Notes in Computer Science. Intelligent Data Engineering and Automated Learning (IDEAL), Vol. 11315
ISSN: 0302-9743 Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Search Idenfier
Publisher: Springer
Type: Book parts
ISBN: 978-3-030-03495-5 Search Idenfier
Collation: str. 280-287
DOI: 10.1007/978-3-030-03496-2_31
WoS-ID: 000582459900031
Scopus-ID: 2-s2.0-85057124995
URI: https://enauka.gov.rs/handle/123456789/421270
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/6702
URL: https://link.springer.com/chapter/10.1007/978-3-030-03496-2_31
Metadata source: Migrirano iz RIS podataka
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