Marrying Knowledge Discovery in Databases (KDD) with Technology Intelligence (TI) - Avenue to paradise or blind alley?

IEEE International Engineering Management Conference

Volumn 1, Issue , 2004, Pages 276-282

  Schroder H H ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Data mining; Discontinuities; Early warning; Environmental observation; Information systems; KDD; Technology intelligence; Text mining; Weak signals

Indexed keywords

DISCONTINUITIES; EARLY WARNING; ENVIRONMENTAL OBSERVATION; INFORMATION SYSTEMS; KNOWLEDGE DISCOVERY IN DATABASES (KDD); TECHNOLOGY INTELLIGENCE; TEXT MINING; WEAK SIGNALS;

ARTIFICIAL INTELLIGENCE; DATA MINING; DATABASE SYSTEMS; INFORMATION TECHNOLOGY; OPEN SYSTEMS; SEMANTICS;

KNOWLEDGE ENGINEERING;

EID: 17644417508     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (40)

1. U. M. Fayyad, G. Piatetsky-Shapiro, and P. Smyth, "From Data Mining to Knowledge Discovery: An Overview", in Advances in Knowledge Discovery and Data Mining, U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, Eds. Menlo Park, Cal., Cambridge, Mass., London: AAAI Press / The MIT Press, 1996, pp. 1-34.
2. F. Säuberlich, KDD und Data Mining als Hilfsmittel zur Entscheidungsunterstützung, Frankfurt a. M.: Peter Lang, 2000.
3. P. Chapman et al., "The Current CRISP-DM Process Model for Data Mining", discussion paper for the 2nd SIG meeting. London, May 5, 1998.
4. G. John, "Enhancement to the data mining process", Ph.D. dissertation, Department of Computer Science, Stanford University, 1997.
5. S. Chakrabarti, "Mining the Web. Discovering Knowledge from Hypertext Data," San Francisco, Cal.: Morgan Kaufmann, 2003.
6. P. Losiewicz, D. W. Oard, and R. N. Kostoff, "Textual data mining to support science and technology management", Journal of Intelligent Information Systems, vol. 15, pp. 99-119, 2000.
7. G. Nakhaeizadeh, T. Reinartz, and R. Wirth, "Wissensentdeckung in Datenbanken und Data Mining: Ein Überblick," in Data Mining: Theoretische Aspekte und Anwendungen, C. Nakhaeizadeh, Ed. Heidelberg: Physica-Verlag, 1998, pp. 3-33.
8. J. M. Pierre, "Mining knowledge from text collections using automatically generated metadata", in Practical Aspects of Knowledge Management, D. Karagiannis and U. Reimer, Eds. Berlin, Heidelberg, New York: Springer, 2002, pp. 537-548.
9. R. Feldman and I. Dagan, "Knowledge discovery in textual databases (KDT)," in Proc. 1st Intern. Conference on Knowledge discovery, KDD'95, Montreal, pp. 112-117.
10. S. Scott and St. Matwin, "Feature engineering for text classification," in Proc. 16th Intern. Conference on Machine Learning, ICML-99, Bled, Slovenia, pp. 379-388.
11. H. Ahonen, O. Heinonen, M. Klemettinen, and A. I. Verkamo, "Applying data mining techniques for descriptive phrase extraction in digital document collections," in Proc. Advances in Digital Libraries 1998, ADL '98, IEEE Forum on Research and Technology, Santa Barbara, CA, pp. 2-11.
12. S. T. Dumais, J. Platt, D. Heekerman, and M. Sahami, "Inductive learning algorithms and representations for text categorization," in Proc. 7th ACM Intern. Conference on Information and Knowledge Management, CIKM-98, Bethesda, MD, pp. 148-155.
13. Y. Yang, J. Carbonell, R. Brown, T. Pierce, B. T. Archibald, and X. Liu, "Learning approaches for detecting and tracking news events", IEEE Intelligent Systems, vol. 14, n. 4, pp. 32-43, 1999.
14. J. Hipp, U. Güntzer, and G. Nakhaeizadeh, "Algorithms for association rule mining - a general survey and comparison," ACM SIGKDD 2000, vol. 2, no. 1, pp. 58-64, July 2000.
15. W. B. Ashton and R. A. Klavans, Keeping Abreast of Science and Technology: Technical Intelligence fur Business, Columbus, Ohio: Batelle Press, 1997.
16. E. Lichtenthaler, Organisation der Technology Intelligence, Orelli Füssli Verlag: Zürich, 2002.
17. E. Lichtenthaler, "Technology intelligence processes in leading European and North American multinationals", R&D Manage., vol. 34, No. 2, pp. 121-135, 2004.
18. H. I. Ansoff, "Managing surprise and discontinuity - strategic response to weak signals, zfbf, vol. 28, pp. 129-152, 1976.
19. R. N. Kostoff, D. R. Toothman, H. J. Eberhart, and J. A. Humenik, "Text mining using database tomography and bibliometrics: A review, Technol Forec Soc, vol. 68, pp. 223-253, 2001.
20. H. Ernst, Patentinformationen für die strategische Planung von Forschung und Entwicklung, Wiesbaden: Deutscher Universitätsverlag, 1996.
21. R. N. Kostoff, H. J. Eberhart, and D. R. Toothman, "Database tomography for technical intelligence: A roadmap of the nearearth space science and technology literature", Inform Process Manag, vol. 34, No. 1, pp. 69-85, 1998.
22. R. N. Kostoff, H. J. Eberhart and D. R. Toothman, "Hypersonic and supersonic flow roadmaps using bibliometrics and database tomography", J Am Soc Inf Sci, vol. 50, no. 5, pp. 427-447, 1999.
23. S. Peiffer, "Technologie-Frühaufklärung - Identifikation und Bewertung zukünftiger Technologien in der strategischen Unternehmensplanung," Hamburg: Steuer- und Wirtschaftsverlag, 1992.
24. R. N. Kostoff, T. Braun, A. Schubert, D. R. Toothman, and J. A. Humenik, "Fullerene data mining using bibliometrics and database tomography", J. Chem. Inf. Sci., vol. 40, pp. 19-39, 2000.
25. R. N. Kostoff, K.A. Green, D. R. Toothman, and J. A. Humenik, "Database tomography applied to an aircraft science and technology investment strategy", J. Aircraft, vol. 37, no. 4: Engineering Notes, pp. 727-730.
26. R. J. Watts and A. L. Porter, "R&D cluster quality measures and technology maturity", Technol Forec Soc, vol. 70, pp. 735-758, 2003.
27. R. J. Watts, A. L. Porter, S. Cunningham, and D. Zhu, "TOAS intelligence mining: analysis of natural language processing and computational linguistics", in Principles of data mining and knowledge discovery, J. Komorowski and J. Zytkow, Eds. Berlin, Heidelberg, New York: Springer, 1997, pp.323-334.
28. D. Zhu and A. L. Porter, "Automated extraction and visualization of information for technological intelligence and forecasting", Technol Forec Soc, vol. 69, pp. 495-506, 2002.
29. D. Zhu, A. Porter, S. Cunningham, J. Carlisie, and A. Nayak, "A process for mining science & technology documents databases, illustrated for the case of "knowledge discovery and data mining"", Ci. Inf., vol. 28, no. 1, Jan. 1999, pp. 7-14.
30. A. Zeller, Technologiefrühaufklärung mit Data Mining, Wiesbaden: Deutscher Universitäts-Verlag, 2003.
31. H. Ahn and C. Meyer, "Das Informantenkonzept: Ein Beitrag zur strategischen Frühaufklärung in KMU", Industrie-Management, vol. 5, pp. 32-36, 2000.
32. C. K. Schlüter, "Strategische Frühinformationssysteme für KMU. Fallstudienhasierte Analyse und Aufdeckung konzeptioneller Verbesserungspotenziale", Diss. RWTH Aachen, 2004.
33. H.-H. Schröder, A. Jetter, and G. Schiffer, Strategische Frühinformation. Bewältigung diskontinuierlicher Zukunftsentwicklungen in Klein- und Mittelbetrieben, TCW-report 2003, vol. 38, München: TCW Transfer-Centrum, 2003.
34. H.-H. Schröder and G. Schiffer, Strategische Frü hinformationssysteme - Nutzen und Erfolgsvoraussetzungen, das Wirtschaftsstudium, vol. 30, no. 11, Nov. 2001, pp. 1506-1511 and no. 12, Dec. 2001, pp. 1640-1644.
35. H.-H. Schröder and G. Schiffer, Strategische Frü hinformationssysteme - Nutzen und Erfolgsvoraussetzungen, das Wirtschaftsstudium, vol. 30, no. 11, Nov. 2001, pp. 1506-1511 and no. 12, Dec. 2001, pp. 1640-1644.
36. M. Freund, R. Wassenhoven, "Ansatz eines Frü hinformationssystems zur Schaffung einer strategischen Wissensbasis," in Proceedings Multikonferenz Wirtschaftsinformatik (MKWI) 2004 - Organisationale Intelligenz, Duisburg/Essen, pp. 407-419.
37. K. A. Schneewind, and J. Graf, "16-Persönlichkeits-Faktoren- Test," rev. Version, Testmanual, Bern.: Hans Huber Verlag, 1998.
38. R. Crowder, G. Hughes and W. Hall, "An agent based approach to finding experts", in Practical Aspects of Knowledge Management, D. Karagiannis and U. Reimer, Eds. Berlin, Heidelberg, New York: Springer, 2002, pp. 179-188.
39. K. Nigam, J. Lafferty, and A. McCallum, "Using Maximum Entropy for text Classification", in Proc. of Machine Learning for Information Filtering Workshop, IJCAI '99, Stockholm, Sweden, pp. 61-67.
40. U. Krystek and G. Müller-Stewens, "Frühaufklärung für Unternehmen. Identifikation und Handhabung zukünftiger Chancen und Bedrohungen," Stuttgart: Schaeffer-Poeschel Verlag, 1993.