DocumentCode :
2574345
Title :
Recommendation system for IT software project planning: A hybrid mining approach for the revised CBR algorithm
Author :
Yang, Heng-Li ; Wang, Chen-Shu
Author_Institution :
Dept. of MIS, Nat. Cheng-Chi Univ., Taipei
fYear :
2008
fDate :
June 30 2008-July 2 2008
Firstpage :
1
Lastpage :
5
Abstract :
AI approaches have seldom been adopted in project management. However, project managers require some assistance to reduce the uncertainty about planning at early project stages. This investigation presents the revised case-based reasoning (RCBR) algorithm, based on the mining approach, to form an online project planning recommendation system. The proposed RCBR algorithm is successfully applied to analyze real data from an IT consultancy in Taiwan. Experiment results demonstrate that RCBR can efficiently provide related project(s) to help project managers to construct project plans. Additionally, the knowledge discovery (KDD) process of RCBR provides project managers with results similar to what-if analysis, enabling project managers to obtain feasible information to re-schedule project resources and bargain with their customers.
Keywords :
case-based reasoning; data mining; planning; project management; IT software project planning; Taiwan; case-based reasoning algorithm; hybrid mining approach; knowledge discovery process; online project planning recommendation system; revised CBR algorithm; Algorithm design and analysis; Artificial intelligence; Data analysis; Information analysis; Knowledge management; Project management; Resource management; Software algorithms; Software systems; Uncertainty; IT/IS project; Project Management; artificial intelligence application; case-based reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Systems and Service Management, 2008 International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-1671-4
Electronic_ISBN :
978-1-4244-1672-1
Type :
conf
DOI :
10.1109/ICSSSM.2008.4598501
Filename :
4598501
Link To Document :
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