Design and development of intelligent knowledge discovery system for stock exchange database

• Main Authors: Md. Sap, Mohd. Noor, Selamat, Harihodin, Shamsuddin, Siti Mariyam, Khokhar, Rashid Hafeez, Che Mat @ Mohd. Shukor, Zamzarina, Awan, Abdul Majid
• Format: Monograph
• Language: English
• Published: Faculty of Computer Science and Information System 2005
• Subjects: ZA4050 Electronic information resources
• Online Access: http://eprints.utm.my/id/eprint/4361/1/74080.pdf; http://eprints.utm.my/id/eprint/4361/

The stock market is a complex, nonstationary, chaotic and non-linear dynamical system. Most of the existing methods suffer from drawbacks like long training times required, often hard to understand results, and inaccurate predictions. This study focuses on data mining approach for stock market predi...