Knowledge discovery from post-project reviews

References

• Argyris , C. 1977 . Double loop learning in organizations . Harvard Business Review , 55 ( 5 ) : 115 – 126 .
   Web of Science ®Google Scholar
• Baird , L. , Holland , P. and Deacon , S. 1999 . Learning from action: imbedding more learning into the performance fast enough to make a difference . Organizational Dynamics , 27 ( 4 ) : 19 – 31 .
   Google Scholar
• Busby , J. 1999 . The effectiveness of collective retrospection as a mechanism of organizational learning . Journal of Applied Behavioural Science , 35 ( 1 ) : 109 – 129 .
   Google Scholar
• Caldas , C.H. and Soibelman , L. 2003 . Automating hierarchical document classification for construction management information systems . Automation in Construction , 12 : 395 – 406 .
   Web of Science ®Google Scholar
• Caldas , C.H. , Soibelman , L. and Han , J. 2002 . Automated classification of construction project documents . Journal of Computing in Civil Engineering , 16 ( 4 ) : 234 – 243 .
   Web of Science ®Google Scholar
• Carrillo , P. 2005 . Lessons learned practices in the engineering, procurement and construction sector . Engineering, Construction and Architectural Management , 12 ( 3 ) : 236 – 250 .
   Google Scholar
• Carrillo , P.M. , Robinson , H.S. , Al-Ghassani , A.M. and Anumba , C.J. 2004 . Knowledge management in UK construction: strategies, resources and barriers . Project Management Journal , 35 ( 1 ) : 46 – 56 .
   Google Scholar
• Construction Industry Institute (2007) Effective Management Practices and Technologies for Lessons Learned Programs , Research Summary 230-1, The University of Texas at Austin.
   Google Scholar
• Cross Industry Standard Process for Data Mining (2010) Process Model, available athttp://www.crisp-dm.org/Process/index.htm (accessed 25 May 2011).
   Google Scholar
• David Bartholomew Associates . 2003 . Learning from Experience , Cheltenham : David Bartholomew Associates .
   Google Scholar
• Disterer , G. 2002 . Management of project knowledge and experiences . Journal of Knowledge Management , 5 : 512 – 520 .
   Google Scholar
• Easterby-Smith , M. , Crossan , M. and Nicoline , D. 2000 . Organizational learning: debates past, present and future . Journal of Management Studies , 36 ( 6 ) : 783 – 796 .
   Web of Science ®Google Scholar
• Fairclough , J. 2002 . Rethinking Construction Innovation and Research , London : Department of Trade and Industry .
   Google Scholar
• Feldman, R. and Dagan, I. (1995) KDT: knowledge discovery in texts, in Proceedings of the First International Conference on Knowledge Discovery (KDD), Montreal, Canada, 20-21 August, pp. 112–17.
   Google Scholar
• Feldman , R. and Sanger , J. 2007 . The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data , Cambridge : Cambridge University Press .
   Google Scholar
• Fellows , R. and Liu , A. 2003 . Research Methods for Construction , Oxford : Blackwell .
   Google Scholar
• Gibson, G.E., Caldas, C., Yohe, A. and Weersoriya, R. (2007) An Analysis of Lessons Learned Practices in the Construction Industry , Research Report 230-11, Construction Industry Institute.
   Google Scholar
• Harding , J. , Shahbaz , M. , Srinivas , S. and Kusiak , A. 2006 . Data mining in manufacturing: a review . Journal of Manufacturing Science and Engineering , 128 ( 4 ) : 969 – 976 .
   Web of Science ®Google Scholar
• Hearst, M., 2003. What is text mining?. University of California, Berkeley, available at http://people.ischool.berkeley.edu/~hearst/text-mining.html (accessed 1 July 2011).
   Google Scholar
• Hicks , C.R. 1982 . Fundamental Concepts in Design of Experiments , Philadelphia : Holt-Saunders International .
   Google Scholar
• Von Zedtwitz , M. 2002 . Organizational learning through post-project reviews in R&D . R&D Management , 32 ( 3 ) : 255 – 268 .
   Web of Science ®Google Scholar
• Hotho , A. , Nürnberger , A. and Paaß , G. 2005 . A brief survey of text mining . LDV Forum: GLDV Journal for Computational Linguistics and Language Technology , 20 ( 1 ) : 19 – 62 .
   Google Scholar
• Huang, L. and Murphey, Y.L. (2006) Text mining with application to engineering diagnostics, in Proceedings of the 19th International Conference on Industrial Engineering and Other Applications of Applied Intelligence (IEA/AIE 2006), Annecy, France, 27-30 June, pp. 1309–17.
   Google Scholar
• Kasravi, K. (2004) Improving the engineering processes with text mining, in Proceedings of the International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE2004), Salt Lake City, Utah, USA 28 September–2 October, pp. 1049–51.
   Google Scholar
• Kerth , N. 2000 . The ritual of retrospectives: how to maximize group learning by understanding past projects . Software Testing & Quality Engineering , 2 ( 5 ) : 53 – 57 .
   Google Scholar
• Luhn , H.P. 1958 . The automatic creation of literature abstracts . IBM Journal of Research and Development , 2 : 159 – 165 .
   Web of Science ®Google Scholar
• Nahm, U.Y. and Mooney, R. (2002) Text Mining with Information Extraction , American Association for Artificial Intelligence Technical Report SS-02-06.
   Google Scholar
• Prahalad , C.K. and Hamel , G. 1990 . The core competence of the corporation . Harvard Business Review , 68 ( 3 ) : 79 – 92 .
   Web of Science ®Google Scholar
• Roth , G. and Kleiner , A. 1998 . Developing organizational memory through learning histories . Organizational Dynamics , 27 ( 2 ) : 43 – 60 .
   Web of Science ®Google Scholar
• Schindler , M. and Eppler , M.J. 2003 . Harvesting project knowledge: a review of project learning methods and success factors . International Journal of Project Management , 2 : 219 – 228 .
   Google Scholar
• Tan , H.C. , Carrillo , P.M. , Anumba , C.J. and Bouchlaghem , N.M. 2006 . Live capture and re-use of project knowledge in construction . Knowledge Management: Research and Practice , 42 : 149 – 171 .
   Google Scholar