A Data-Driven Knowledge Acquisition System: An End-to-End Knowledge Engineering Process for Generating Production Rules

A Data-Driven Knowledge Acquisition System: An End-to-End Knowledge Engineering Process for Generating Production Rules

Data-driven knowledge acquisition is one of the key research fields in data mining. Dealing with large amounts of data has received a lot of attention in the field recently, and a number of methodologies have been proposed to extract insights from data in an automated or semi-automated manner. Howev...

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Bibliographic Details
Main Authors: Maqbool Ali, Rahman Ali, Wajahat Ali Khan, Soyeon Caren Han, Jaehun Bang, Taeho Hur, Dohyeong Kim, Sungyoung Lee, Byeong Ho Kang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Knowledge engineering
data mining
features ranking
algorithm selection
decision tree
production rule
Online Access:https://ieeexplore.ieee.org/document/8319403/

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