Data Mining in Finance Advances in Relational and Hybrid Methods /

• Main Authors: Kovalerchuk, Boris (Author), Vityaev, Evgenii (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2002.
• Series: The International Series in Engineering and Computer Science, 547
• Subjects: Computer science.; Finance.; Data structures (Computer science).; Artificial intelligence.; Computer Science.; Data Structures, Cryptology and Information Theory.; Artificial Intelligence (incl. Robotics).; Finance, general.

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 fo...