DocumentCode
2374976
Title
A recommender system for metrics
Author
Tomaz, Luiz F c ; Nt, José A Rodrigues ; Souza, Jano M. ; Xexéo, Geraldo B.
Author_Institution
Grad. Sch. of Eng., Univ. Fed. do Rio de Janeiro, Rio de Janeiro, Brazil
fYear
2012
fDate
23-25 May 2012
Firstpage
341
Lastpage
349
Abstract
Over the past 5 decades society has been increasingly requiring immediate results, and this is reflected in business. Due to this, the attention given to strategy, strategy management and strategy planning has increased. The use of the Balanced Scorecard (BSC) is a way of achieving this strategic capability. Moreover, a proper BSC has effective metrics to track its goals. This work proposes a system that recommends metrics in accordance with the goals of a BSC. The recommendation is made using data mining techniques, in particular association rules.
Keywords
business data processing; data mining; recommender systems; strategic planning; BSC; association rules; balanced scorecard; business; data mining techniques; metrics; recommender system; strategy management; strategy planning; Collaboration; Organizations; association rule; balanced scorecard; recommender systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4673-1211-0
Type
conf
DOI
10.1109/CSCWD.2012.6221841
Filename
6221841
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