DocumentCode :
2798323
Title :
Data Mining - Redefining the Boundaries
Author :
Awan, Malik Shahzad Kaleem ; Awais, Mian Muhammad
Author_Institution :
Lahore Univ. of Manage. Sci., Lahore
fYear :
2007
fDate :
13-16 May 2007
Firstpage :
416
Lastpage :
423
Abstract :
Ever since its emergence as a new field, Data Mining has been described as a confluence of different disciplines primarily database systems, statistics, machine learning and information science. Strategic Management, an emerging discipline of management sciences, focuses on setting mission, vision, goals and objectives, analyzing internal and external organizational environments, making strategic decisions and taking actions to implement the designed strategy. In this paper, we have revealed that the whole data mining process forms a part of strategic analysis phase of strategic management. We have mapped the data mining activities to the strategic analysis phase from both the conceptual as well as the practical perspectives. We have found that if data mining is used for conducting environmental analysis, much better results could be yielded by helping the managers to formulate target-oriented strategies more efficiently and effectively. Thus, the boundaries of this emerging field - Data Mining - have been redefined using the essence and the key attributes of strategic management.
Keywords :
data mining; database management systems; learning (artificial intelligence); data mining; database system; environmental analysis; information science; machine learning; strategic analysis phase; strategic management; Computer science; Data analysis; Data mining; Data visualization; Disaster management; Environmental management; Machine learning; Performance analysis; Statistics; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications, 2007. AICCSA '07. IEEE/ACS International Conference on
Conference_Location :
Amman
Print_ISBN :
1-4244-1030-4
Electronic_ISBN :
1-4244-1031-2
Type :
conf
DOI :
10.1109/AICCSA.2007.370915
Filename :
4230990
Link To Document :
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