GMDH, Association Rules and Regression for Environmental Economics Data - Application of Some Data Mining Techniques on Environmental Economics Data

The book is about application of data mining techniques for environmental economics data. The data mining techniques involved are Group Method of Data Handling (GMDH), the weighted least square (WLS), step-wise regression, and classification-based association rules. The data for applying those techniques were from World Development Indicator 2003 (WDI 2003), and from www.nationamaster.com. The result from www.nationmaster.com were as follows: that the corruption index was strongly related to the urban SO2 concentration. The corruption index along with NOx emission has a big contribution to the debt of the home country.

About the author

Iing Lukman was born in Bandung, West Java, Indonesia on October 27, 1960. He completed his primary, junior, and senior high Schools in Bandung. His BSc in Statistics from Bogor Agricultural Institute (1987), His MSc in Statistics from Universiti Putra Malaysia (UPM)(2000). His PhD in Environmental Planning & Management (2007) from UPM.

Product details

• Authors: Iing Lukman
• Publisher: LAP Lambert Academic Publishing
• Languages: English, German
• Product format: Paperback / Softback
• Released: 30.04.2016
• EAN: 9783659800306
• ISBN: 978-3-659-80030-6
• No. of pages: 288
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing