The Second IEEE International Conference on Business Intelligence and Financial Engineering (IEEE BI (BIFE2009)

Venue: Beijing

Location: Beijing, China

Event Date/Time: Jul 24, 2009 End Date/Time: Jul 26, 2009
Early Registration Date: Apr 15, 2009
Abstract Submission Date: Mar 01, 2009
Paper Submission Date: Mar 01, 2009
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Description

The expanding range of global competition, coupled with the growing volumes of complex data in companies after having spent the last decade implementing Enterprise Resource Planning (ERP), have forced businesses and academics alike to turn to sophisticated technologies for solutions. Business Intelligence plays ever-increasingly important roles in companies to obtain the competitive advantages. The marriage between the cutting-edge business intelligence technology and traditional topics of finance and economics has resulted in the field of Financial Engineering. Accordingly, financial engineering as a cross-disciplinary field relies on mathematical finance, intelligent methods and computer simulations to make trading, hedging and investment decisions, as well as facilitating the risk management of those decisions, and thus strengthening the competitive capability of companies. To promote the theoretical development and exchange of Business Intelligence and Financial Engineering, the First International Conference on Business Intelligence and Financial Engineering (BIFE'2008) was held at Changsha University of Science & Technology, Changsha, on October 28-30, 2008.

The main purposes of the 2009 International Conference on Business Intelligence and Financial Engineering (BIFE’2009) are to exchange information and ideas on business intelligence and financial engineering, to promote a higher academic level of business intelligence and financial engineering, and meantime to provide an international forum for experts from academia in the field of business intelligence and financial engineering from universities throughout the world, as well as business practitioners and senior management from industries can discuss current focus problems, new modeling approaches and future alternative solutions.

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