Title :
Study on the Application of Extenics in Data Mining
Author :
Shiyun, Wang ; Zhijun, Wang ; Yunjie, Li ; Jiezhen, Zheng
Author_Institution :
Inst. of Grad., Liaoning Tech. Univ. (LNTU), Huludao, China
Abstract :
Extenics is a new discipline, it uses formal model research the possibility of expand thinking and the rules and methods of opening innovation and uses to solve the paradoxical problem of science. Extension data mining is a product combining Extenics with data mining. It explores to acquire the knowledge about extension transformations in databases, which is called extension knowledge, taking advantage of extension methods and data mining technology. With the advance of economic globally, the renewal periods of information and knowledge are shortened because of environmental levity. Innovation and solving contradiction problems gradually turn to an important job for every walk of life. Therefore, "how to mine extension knowledge" becomes the important task of data mining research. The research indicated that extension data mining will have wide applied prospects.
Keywords :
data mining; knowledge engineering; Extenics; contradiction problems; extension data mining; extension knowledge; extension transformations; innovation; paradoxical science problem; Application software; Competitive intelligence; Computer applications; Computer simulation; Data engineering; Data mining; Databases; Environmental economics; Humans; Technological innovation; conductive knowledge; extenics; extension categories knowledge; extension data mining; extension knowledge;
Conference_Titel :
Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
Conference_Location :
Chongqing
Print_ISBN :
978-0-7695-3930-0
Electronic_ISBN :
978-1-4244-5423-5
DOI :
10.1109/IFCSTA.2009.148