Mining conference proceedings for corporate technology knowledge management

International Journal of Innovation and Technology Management

Volumn 4, Issue 2, 2007, Pages 103-119

  Watts, Robert J ^a   Porter, Alan L ^b  

^a Development and Engineering Center   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Data mining; Technology intelligence

Indexed keywords

EID: 78650969739     PISSN: 02198770     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219877007001016     Document Type: Conference Paper

References (15)

1. Borner, K., Chen, C. and Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37: 179-255.
2. Kostoff, R. and Geisler, E. (1999). Strategic management and implementation of textual data mining in government organizations. Technology Analysis & Strategic Management, 11: 493-525.
3. Losiewicz, P., Oard, D. W. and Kostoff, R. N. (2000). Textual data mining to support science and technology management. Journal of Intelligent Information Systems, 15, 2: 99-119.
4. Porter, A. L. and Cunningham, S. W. (2005). Tech Mining: Exploiting New Technologies for Competitive Advantage, Wiley, New York.
5. Porter, A. L., Kongthon, A. and Lu, J.-C. (2002). Research profiling: Improving the literature review. Scientometrics, 53: 351-370.
6. Porter, A. L., Watts, R. J. and Anderson, T. R. (2003). Mining PICMET: 1997-2003 papers help you track management of technology developments. Proceedings, Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, USA, July.
7. Porter, A. L., Watts, R. J. and Anderson, T. R. (2005). Mining PICMET: 1997-2005 papers help you track management of technology developments. Proceedings, Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, USA, July.
8. Salton, G., Allan, J., Buckley, C. and Singhal, A. (1994). Automatic analysis, theme generation and summarization of machine-readable texts. Science, 264: 1421-1426.
9. Steinbach, M., Karypis, G. and Kumar, V. (2000). A Comparison of Document Clustering Techniques University of Minnesota, Technical Report #00-034, http://www.cs. umn.edu/tech reports/.
10. Teichert, T. and Mittermayer, M. A. (2003). Text mining for technology monitoring, IEEE IEMC 2002, 596-601.
11. Watts, R. J. (2003). Research evolution in robotics fuzzy control technologies. Association of Unmanned Vehicle Systems International (AUVSI) Conference, Baltimore, MD, July.
12. Watts, R. J. and Porter, A. L. (2003). R&D cluster quality measures and technology maturity. Technology Forecasting & Social Change, 70: 735-758.
13. Watts, R. J. and Porter, A. L. (2002). Tracking the evolution of management of technology (MOT), International Association for Management of Technology (IAMOT) 2002 Conference.
14. Watts, R. J., Porter, A. L. and Minsk, B. (2004). Automated text mining comparison of Japanese and USA multi-robot research. Data Mining 2004, Malaga, Spain, September.
15. Zhu, D. and Porter, A. L. (2001). Automated extraction and visualization of information for technological intelligence and forecasting, 21st International Symposium on Forecasting, Pine Mountain, Georgia, June 17-20.