Input selection for fast feature engineering

2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016

Volumn , Issue , 2016, Pages 577-588

  Anderson, Michael R ^a   Cafarella, Michael ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PROGRAMS; ARTIFICIAL INTELLIGENCE; CODES (SYMBOLS); DATA HANDLING; FEATURE EXTRACTION; ITERATIVE METHODS; LEARNING ALGORITHMS; LEARNING SYSTEMS;

FEATURE ENGINEERINGS; FEATURE EVALUATION; FEATURE VECTORS; INPUT AND OUTPUTS; INPUT SELECTION; RAW DATA OBJECTS; SOFTWARE SYSTEMS; TRIAL-AND-ERROR PROCESS;

BIG DATA;

EID: 84980315341     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2016.7498272     Document Type: Conference Paper

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