TPAC - Technology Policy and Assessment Center at the Georgia Institute of Technology

[1] Porter, A.L., & Detampel, M.J., Technology Opportunities Analysis, Technological Forecasting and Social Change No.49, 237-255 , 1995.

[2] Porter, A.L., et c., (1998). Georgia Tech Research & Development on TOA, Final Report on subcontract to Search Technology, Inc., for Defense Advanced Research Projects Agency STTR Phase 2 Project, Technology Opportunities Analysis System [DAAH01-96-C-R169].

[3] Watts, R.J., and Porter, A.L., Innovation Forecasting, Technological Forecasting and Social Change No.56, 25-47 , 1997.

[4] Watts, R.J., and Porter, A.L., Cunningham, S.W., and Zhu, D., TOAS Intelligence Mining; Analysis of Natural Processing & Computational Linguistics, in Komorowski, J. and Zytkow, J.(Eds.), Principles of Data Mining and Knowledge Discovery, Spinger, 1997.

[5] Usama Frayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Knowledge Discovery and Data Mining: Towards a Unifying Framework, Proceeding of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, Oregon, August, 1996., AAAI Press.

[6] Heikki Mannila, Data mining: machine learning, statistics, and databases, Eight International Conference on Scientific and Statistical Database Management, Stockholm June 1996, p.1-8.

[7] Karsten M. Decker, Sergio Focardi, Technology Overview: A Report on Data Mining, Technical Report,(CSCS TR-95-02) Swiss Scientific Computing Center, 1995.

[8] Ming-Syan. Chen, Jiawei Han, and Phiilip S. Yu, Data Mining: An Overview from Database Perspective', IEEE Transactions on Knowledge and Data Engineering, 1997.

[9] Marcel Holsheimer, Martin Kersten, Heikki Mannila, Hannu Toivonen, A perspective on Databases and Data Mining, The First International Conference on Knowledge Discovery and Data Mining, Montreal, 1995.

[10] Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth, Statistical Themes and Lessons for Data Mining, Data Mining and Knowledge Discovery, 1, 25-42, 1996.

[11] Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, A. Inkeri Verkamo, Finding Interesting Rules from Large Sets of Discovered Association Rules, The Third International Conference on Information and Knowledge Management, Ed. Nabil R. Adam, Bharat K. Bhargava and Yelena Yesha, 404-407. Nov., 1994, Gaithersburg, Maryland. ACM Press.

[12] Stefan Wrobel, Dietrich Wettschereck, Inkeri Verkamo, Arno Siebes, et., User Interactivity in Very Large Scale Data Mining, Proc. FGML-96, Annual Workshop of the GI Special Interest Group Machine Learning (GI FG 1.13), Informatik-Berichte, Univ. Chemnitz-Zwickau, 1996.

[13] Hekki Mannila, Hannu Toivonen, A.Inkeri Verkamo, Improved Methods for Finding Association Rules, Tech Reporter, University of Helsinki, Department of Computer Science, Series of Publications C, No. C-1993-65

[14] Marcel Holsheimer, Arno Siebes, Data Mining: the Search for Knowledge in Databases, Report CS-R9406, ISSN 0169-118X, CWI, P.O. Box 94079, 1090 GB Amsterdam, The Netherlands.

[15] Stefan Wrobel, Saso Dzeroski, The ILP Description Learning Problem: Towards a General Model-Level Definition of Data Mining in ILP, Proc. FGML-95, Annual Workshop of the GI Special Interest Group Machine Learning (GI FG 1.1.3), ed. K.Morik and J. Herrmann, Research Report 580, Univ. Dortmund, 1995.

[16] Ezawa, K.J.; Norton, S.W., Knowledge discovery in telecommunication services data using Bayesian network, in Fayyad, U.M. and Uthurusamy, R.(Eds.), KDD-95 Proceedings. First International Conference on Knowledge Discovery and Data Mining, 1995.

[17] Narin, F., Olivastro, D., and Stevens, K.A., Bibliometrics-Theory, Practice and Problem, Evaluation Review 18(1), 1994.

[18] Callon, M., Courtial, J. P., Crance, P., Laredo, P., Mauguin, P., Rabehaisoa, V., Rocher, Y. A., and Vinck, D., Tools for the Evaluation of Technological Programmes: An Account of Work Done at the Centre for the Sociology of Innovation, Technology Analysis and Strategic Management 3(1), 3-41, 1991

[19] Garfield, E., Malin, M.V., and Small, H., Citation Data as Science Indicators, The Metric of Science: The Advent of Science Indicators, Y. Elkana et al., eds., Wiley, New York, 1978.

[20] Melkers, J., Bibliometrics as a Tool for Analysis of R&D Impact, in Evaluating R&D Impacts: Methods and Practice, B. Bozeman and J. Melkers, eds., Kluwer, Boston, 1993, pp. 43-61.

[21] Small, H., and Griffith, b., The Structure of Scientific Literatures, Science Studies 4, 17-40, (1974).

[22] Kostoff, R.N., Research Impact Assessment: Problems, Progress, Promise, Proceedings: Fourth International Conference on Management of Technology, Miami FL, 1994.

[23] Kostoff, R. N., Co-Word Analysis, in Assessing R&D Impacts: Method and Practice, Bozeman, B. and Melkers, J., Eds. (Kluwer Academic Publishers, Norwell, MA) 1993.

[24] Kostoff, R. N., Database Tomography for Technical Intelligence, Competitive Intelligence Review, 4:1, Spring 1993.

[25] Tijssen-RJW and Vanraan-AFJ, Mapping Changes in Science and Technology - Bibliometric Cooccurrence Analysis of the R-and-D Literature, EVALUATION REVIEW, Vol 18, Iss 1, pp 98-115. 1994.

[26] Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., & Harshman, D. (1990). Indexing by Latent Semantic Analysis, Journal of the American Society for Information Science 41 (6), 391-407.

[27] Dumais, S. T., Furnas, G. W., Landauer, T. K., & Deerwester, S. (1988). Using latent semantic analysis to improve information retrieval. Proceedings of CHI'88: Conference on Human Factors in Computing, New York: ACM, 281-285.

[28] Cunningham, S. (in submission), A Maximum Likelihood Approach to the Mapping of Text, Journal of the American Society for Information Science.

[29] Roger W. Schvaneveldt (Editor), Pathfinder Associative Networks: Studies in Knowledge Organization, Published 1990. ISBN 0-89391-624-2

[30] Willett, S., Looking for gold in data mining, Computer Reseller News, P97(2), May 19, 1997.

[31] Hettler, M., OLAP serves up your data, Byte, . V22. P130(5), March, 1997.

[32] Dyck, T., Tapping a new vein in data mining; Scenario beats BusinessMiner with richer analysis and presentation. PC Week. V14. P61(1) May 5, 1997.

[33] Helm, L., Burns, R., Improbable inspiration, Los Angeles Times. Col 1. V115. PD1, Oct 28, 1996.

[34] Monroe, John Stein, MasPar reborn as NeoVista; Army, Air Force PXs evaluate software, Federal Computer Week, V10. P30(2), June, 1996.

[35] Cox, J., NeoVista lets users dig into data warehouses. Network World, V13. P31(1), June 1996.

[36] Leon, M., Vadlamudi, P., Data warehouse vendors do data mining. InfoWorld, V18. P39(2), June, 1996.

[37] Phillips, B., Pilot digs in on data-mining app; PC Week. V12. P39(1), Nov., 1995.

[38] Nadile, L., Data mining you can afford, InformationWeek, P88(5) March 24, 1997.

[39] Alexander, S., Users find tangible rewards digging into data mines. InfoWorld, V19. P61(2), July, 1997.

[40] Asbrand, D., Is datamining ready for the masses? Datamation, V43. P66(5), Nov, 1997.

[41] Michael J.A. Berry, Gordon Linoff, "Data Mining Techniques", Published by John Wiley&Sons, Inc. 1997