Clustering and Classification Based on Distributed Automatic Feature Engineering for Customer Segmentation

Clustering and Classification Based on Distributed Automatic Feature Engineering for Customer Segmentation

To beat competition and obtain valuable information, decision-makers must conduct in-depth machine learning or data mining for data analytics. Traditionally, clustering and classification are two common methods used in machine mining. For clustering, data are divided into various groups according to...

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Bibliographic Details
Main Authors: Zne-Jung Lee, Chou-Yuan Lee, Li-Yun Chang, Natsuki Sano
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Symmetry
Subjects:
clustering
classification
automatic feature engineering
machine learning
improved fuzzy decision tree
Apache Spark
Online Access:https://www.mdpi.com/2073-8994/13/9/1557

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https://www.mdpi.com/2073-8994/13/9/1557

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