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