Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

On Business-Oriented Knowledge Discovery and Data Mining

Authors
Hao Wu
Corresponding Author
Hao Wu
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.708How to use a DOI?
Keywords
Business intelligence, data mining, behavior detection
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.
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Proceedings
Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.708How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hao Wu
PY  - 2013/03
DA  - 2013/03
TI  - On Business-Oriented Knowledge Discovery and Data Mining
BT  - Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2837
EP  - 2840
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.708
DO  - https://doi.org/10.2991/iccsee.2013.708
ID  - Wu2013/03
ER  -