Data mining and knowledge discovery in business databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1079, Issue , 1996, Pages 56-67

  Piatetsky Shapiro, Gregory ^a  

^a VERIZON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; INTELLIGENT SYSTEMS;

DATA MINING AND KNOWLEDGE DISCOVERY; DATABASE ANALYSIS; ISSUES AND CHALLENGES; PAPER SURVEYS; STATE OF THE ART; TOOLS AND TECHNIQUES;

DATA MINING;

EID: 84918846190     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61286-6_131     Document Type: Conference Paper

References (41)

1. Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., Verkamo, A. 1996. Fast Discovery of Association Rules. in AKDDM, Cambridge, MA: AAAI/MIT Press.
2. Agrawal, R. and Psaila, G. 1995. Active Data Mining, in Proceedings of KDD-95: First International Conference on Knowledge Discovery and Data Mining, Menlo Park, CA: The AAAI Press.
3. Anand, T. and Kahn, G. 1992. SPOTLIGHT: A Data Explanation System. In Proc. Eighth IEEE Conference on Applied AI, 2-8. Washington, D.C.: IEEE Press.
4. Barr, D. and Mani, G. 1994. Using Neural Nets to Manage Investments. AI Expert, 16-21, February.
5. Berry, J. 1994. Database Marketing. Business Week, 56-62, Sep 5.
6. Berndt, D. and Clifford, J. 1996. Finding Patterns in Time Series: A Dynamic Programming Approach. In AKDDM, Cambridge, MA: AAAI/MIT Press.
7. Blanchard, D. 1994. News Watch. AI Expert, 7, December.
8. Brachman, R., and Anand, T. 1996. The Process of Knowledge Discovery in Databases: A Human-Centered Approach, in AKDDM, Cambridge, MA: AAAI/MIT Press.
9. Breiman, L., Friedman, J. H., Olshen, R. A., Stone, C. J. 1984. Classification and Regression Trees. Belmont, CA: Wadsworth.
10. Cheeseman, P. 1990. On Finding the Most Probable Model. In Computational Models of Scientific Discovery and Theory Formation, Shrager, J. and Langley P. (eds). Los Gatos, CA: Morgan Kanfmarm, 73-95.
11. Codd, E.F. 1993. Providing OLAP (On-line Analytical Processing) to User- Analysts: An IT Mandate. E.F. Codd and Associates.
12. Data Warehousing Conference Proceedings, DCI Consulting, Andover, MA, 1996.
13. Dasarathy, B. V. 1991. Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques. Los Alamitos, CA: IEEE Computer Society Press.
14. Fayyad, U. M. and Uthurusamy, R. 1994. Editors, Proceedings of KDD-94: the AAAI-94 workshop on Knowledge Discovery in Databases, AAAI Press report WS- 03, Menlo Park, CA: The AAAI Press.
15. Fayyad, U. M. and Uthurusamy, R. 1995. Editors, Proceedings of KDD-95: First International Conference on Knowledge Discovery and Data Mining, Menlo Park, CA: The AAAI Press.
16. Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., and Uthurusamy, R 1996. . Editors, Advances in Knowledge Discovery and Data Mining, Cambridge, MA: AAAI/MIT Press.
17. Fayyad, U., Piatetsky-Shapiro, G., Smyth, P. 1996. From Data Mining to Knowledge Discovery: an Overview, in AKDDM, Cambridge, MA: AAAI/MIT Press, 1-29.
18. Friedman, J. H. 1989. Multivariate Adaptive Regression Splines. Annals of Statistics, 19: 1-141.
19. Hail, J., Cai, Y. and Cercone, N. 1992. Knowledge Discovery in Databases: An Attribute-Oriented Approach, in Proc. of 1992 Int'l Conf. on Very Large Data Bases (VLDB'92), Vancouver, Canada, pp. 547-559.
20. Haykin, S. 1994. Neural Networks, a Comprehensive Foundation. Macmillan, New York, NY.
21. Heckerman, D. 1996. Bayesian Networks for Knowledge Discovery in AKDDM, Cambridge, MA: AAAI/MIT Press.
22. Jain, A. K. and Dubes, R. C. 1988. Algorithms for Clustering Data. Englewood Cliffs, N J: Prentice-Hall.
23. Kohavi, R. 1995, Wrappers for Performance Enhancement and Oblivious Decision Graphs, Ph.D., Stanford University, http : //robotics,stanford,edu/ronnyk
24. Major, J. and Riedinger, D. 1992. EFD: A Hybrid Knowledge/Statistical-Based System for the Detection of Fraud. Int. J. o] Intelligent Systems, 7(7): 687-703.
25. Matheus, C., Piatetsky-Shapiro, G., and McNeill, D. 1996. Selecting and Reporting What is Interesting: The KEFIR Application to Healthcare Data. in AKDDM, Cambridge, MA: AAAI/MIT Press, 495-516.
26. Matheus, C., Chan, P. and Piatetsky-Shapiro, G. 1993. Systems for Knowledge Discovery. IEEE Trans. on Knowledge and Data Engineering, 5(6): 903-913.
27. O'Leary, D. 1995. Some Privacy Issues in Knowledge Discovery: OECD Personal Privacy Guidelines. IEEE Expert, April 1995.
28. Pearl, J. 1992. Probabilistic Reasoning in Intelligent Systems Los Gatos, CA: Morgan Kanfmann.
29. iatetsky-Shapiro, G. and Frawley, W. 1991. Editors, Knowledge Discovery in Databases, Cambridge, MA: AAAI/MIT Press.
30. Piatetsky-Shapiro, G. 1993. Editor, Proceedings of KDD-93: the AAAI-93 workshop on Knowledge Discovery in Databases. AAAI Press report WS-02, Menlo Park, CA: The AAAI Press.
31. Piatetsky-Shapiro, G., Matheus, C. Smyth, P. and Uthurusamy, R. 1994. KDD-93: Progress and Challenges in Knowledge Discovery in Databases. AI Magazine, 15(3): 77-87.
32. Piatetsky-Shapiro, G. and Matheus, C 1994. The Interestingness of Deviations, in Proceedings of KDD-94 the AAAI-94 workshop on Knowledge Discovery in Databases. Fayyad, U. M. and Uthurusamy, R., (eds.), AAAI Press report WS-03, 28-44, Menlo Park, CA: The AAAI Press.
33. Piatetsky-Shapiro, G. 1995. Editor, Special issue on Knowledge Discovery in Databases. J. of Intelligent Information Systems, 4:1, January.
34. Piatetsky-Shapiro, G. 1995b. Knowledge Discovery in Personal Data vs. Privacy a Mini-symposium. IEEE Expert, April 1995.
35. Quinlan, J. 1992. C4.5: Programs for Machine Learning. Los Gatos, CA: Morgan K aufm alln.
36. Rosenberg, M. 1992. Protecting Privacy, Inside Risks column. Communications of ACM, 35(4): 164.
37. Senator, T. et al, 1995. The Financial Crimes Enforcement Network AI System (FAIS), AI Magazine, Winter 1995, 21-39.
38. Spirtes, P., Glymour, C., and Scheines, R. 1993. Causation, Prediction, and Search, New York: Springer-Verlag.
39. Way, J. and Smith, E. A. 1991. The Evolution of Synthetic Aperture Radar Systems and their Progression to the EOS SAR. IEEE Trans. on Geoscience and Remote Sensing, 29(6): 962-985.
40. Weigend, A. and Gershenfeld, N. (eds.) 1993. Predicting the Future and Understanding the Past. Redwood City, CA: Addison-Wesley.
41. Ziarko, W. 1994. Rough Sets, Fuzzy Sets and Knowledge Discovery, Berlin: Springer Verlag.