Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept Drift

Jobin Wilson; Amit Kumar Meher; Bivin Vinodkumar Bindu; Santanu Chaudhury; Brejesh Lall; Manoj Sharma; Vishakha Pareek

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Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept Drift

Wilson J
Meher A
Bindu B
et al.

DOI: 10.1007/978-3-030-29135-8_13

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Abstract

Data abundance along with scarcity of machine learning experts and domain specialists necessitates progressive automation of end-to-end machine learning workflows. To this end, Automated Machine Learning (AutoML) has emerged as a prominent research area. Real world...

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APA

Wilson, J., Meher, A. K., Bindu, B. V., Chaudhury, S., Lall, B., Sharma, M., & Pareek, V. (2020). Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept Drift (pp. 317–335). https://doi.org/10.1007/978-3-030-29135-8_13

Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept Drift

Abstract

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