Tree stream mining algorithm with Chernoff-bound and standard deviation approach for big data stream

Tree stream mining algorithm with Chernoff-bound and standard deviation approach for big data stream

Abstract We propose a Chernoff-bound approach and examine standard deviation value to enhance the accuracy of the existing fast incremental model tree with the drift detection (FIMT-DD) algorithm. It is a data stream mining algorithm that can observe and form a model tree from a large dataset. The s...

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Bibliographic Details
Main Authors: Ari Wibisono, Devvi Sarwinda, Petrus Mursanto
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:Journal of Big Data
Subjects:
Big data
Data stream
Chernoff bound
FIMT-DD
Intelligent systems
Standard deviation
Online Access:http://link.springer.com/article/10.1186/s40537-019-0220-5

Internet

http://link.springer.com/article/10.1186/s40537-019-0220-5

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