International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 48 - Issue 24 |
Published: June 2012 |
Authors: Asif Rashid, Zainab Riaz, Muiz-Ud-Din Shami |
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Asif Rashid, Zainab Riaz, Muiz-Ud-Din Shami . Predicting, Prioritizing & Planning Enterprise System’s CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach. International Journal of Computer Applications. 48, 24 (June 2012), 33-39. DOI=10.5120/7531-0615
@article{ 10.5120/7531-0615, author = { Asif Rashid,Zainab Riaz,Muiz-Ud-Din Shami }, title = { Predicting, Prioritizing & Planning Enterprise System’s CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 48 }, number = { 24 }, pages = { 33-39 }, doi = { 10.5120/7531-0615 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Asif Rashid %A Zainab Riaz %A Muiz-Ud-Din Shami %T Predicting, Prioritizing & Planning Enterprise System’s CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach%T %J International Journal of Computer Applications %V 48 %N 24 %P 33-39 %R 10.5120/7531-0615 %I Foundation of Computer Science (FCS), NY, USA
The research proposes a planning scenario of critical success factors (CSFs) "conceptual-framework" for enterprise systems (ES) of Smart aircraft factory. Application of knowledge discovery and classification algorithms is applied to draw probabilistic inferences based on FP-Growth-algorithm blended with a novel approach based on "balanced scorecard (BSC) architecture".