On Business-Oriented Knowledge Discovery and Data Mining

Abstract:

This paper will discuss issues in data mining and business processes including Marketing, Finance and Health. In turn, the use of KDD in the complex real-world databases in business and government will push the IT researchers to identify and solve cutting-edge problems in KDD modelling, techniques and processes. From IT perspectives, some issues in economic sciences consist of business modelling and mining, aberrant behavior detection, and health economics. Some issues in KDD include data mining for complex data structures and complex modelling. These novel strategies will be integrated to build a one-stop KDD system.

• Periodical: Advanced Materials Research (Volumes 760-762)
• Pages: 2267-2271
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.760-762.2267
• Online since: September 2013
• Authors: Wu Hao
• Keywords: Behavior Detection, Business Intelligence, Data Mining (DM)

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