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Adaptive Higher Order Neural Network Models for Data Mining

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posted on 2023-05-22, 12:27 authored by Shuxiang XuShuxiang Xu
Data mining, the extraction of hidden patterns and valuable information from large databases, is a powerful technology with great potential to help companies survive competition. Data mining tools search databases for hidden patterns, finding predictive information that business experts may overlook because it lies outside their expectations. This chapter addresses using ANNs for data mining because ANNs are a natural technology which may hold superior predictive capability, compared with other data mining approaches. The chapter proposes Adaptive HONN models which hold potential in effectively dealing with discontinuous data, and business data with high order nonlinearity. The proposed adaptive models demonstrate advantages in handling several benchmark data mining problems.

History

Publication title

Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications

Edition

1st

Editors

Ming Zhang

Pagination

86-98

ISBN

978-1-61520-711-4

Department/School

School of Information and Communication Technology

Publisher

Information Science Reference

Place of publication

Hershey, United States

Extent

22

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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