Preface Section 1: Bi in Macro-economic Analysis and Forecasting
نویسندگان
چکیده
With the rapid development of economic globalization and information technology, economic forecasting is emerging as a rapidly developing research field with wide applicability in business and government. To achieve an advanced position of global economic growth, one must quickly indentify good opportunities and take advantage of them in a fast and effective manner. More and more business organizations and governments are realizing that it is of great importance to make their decisions by using business intelligence (BI) technologies. The main objective of this book is to introduce some BI techniques to economic analysis and forecasting. This book discusses a number of Business Intelligence techniques including neural networks and its various improvements, support vector machine, genetic programming, clustering analysis, TEI@I, fuzzy systems, text mining, etc. These techniques are developed in a variety of domains such as macroeconomic, business cycle, currency crisis, bankruptcy, credit scoring, stock indices, industrial indices, oil demand and supply, electricity demand and load forecasting. The following will briefly outlines the different applications discussed in 17 chapters of this book.
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