Data Mining in Finance: Advances in Relational and Hybrid Methods

by Evgenii Vityaev and Boris Kovalerchuk

Book Overview

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn more expressive rules than other symbolic approaches. RDM...

• Format: Paperback
• Language: English
• ISBN: 1475773323
• ISBN13: 9781475773323
• Release Date: March 2013
• Publisher: Springer
• Length: 308 Pages
• Weight: 1.01 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"