Maintaining Diagnostic Knowledge-Based Systems: A Control-Theoretic Approach

Published Online:https://doi.org/10.1287/mnsc.1080.0908

References

  • Altman E. I., Saunders A. Credit risk measurement: Developments over the last 20 years. J. Banking Finance (1988) 21:1721–1742CrossrefGoogle Scholar
  • Ash D., Gold G., Siever A., Hayes-Roth B. Guaranteeing real-time response with limited resources. Artificial Intelligence in Medicine (1993) 5(1):49–66CrossrefGoogle Scholar
  • Axelsson S. The base-rate fallacy and the difficulty of intrusion detection. ACM Trans. Inform. System Security (2000) 3(3):186–205CrossrefGoogle Scholar
  • Barker V., O'Connor D. Expert systems for configuration at digital. Comm. ACM (1989) 32(3):298–318CrossrefGoogle Scholar
  • Breiman L., Stone C. J., Friedman J., Olshen R. A.Classification and Regression Trees (1984) (Chapman & Hall/CRC, Boca Raton, FL) Google Scholar
  • Chickering D., Heckerman D. Targeted advertising with inventory management. Interface (2003) 33:71–77LinkGoogle Scholar
  • Coenen F., Bench-Capon T.Maintenance of Knowledge-Based Systems (1993) (Academic Press, London) Google Scholar
  • Dorfman R. An economic interpretation of optimal control theory. Amer. Econom. Rev. (1969) 59(5):817–831Google Scholar
  • Doyle J. A truth maintenance system. Artificial Intelligence (1979) 12:231–272CrossrefGoogle Scholar
  • Elkan C. The foundations of cost-sensitive learning. IJCAI'01: Proc. 17th Internat. Joint Conf. Artificial Intelligence, Seattle (2001) 973–978Google Scholar
  • Foxvog D., Kurki M. Survey of real-time and on-line diagnostic expert systems. Proc. Euromicro '91 Workshop on Real Time Systems, Paris (1991) 61–69CrossrefGoogle Scholar
  • Hall K., Moore J. C., Whinston A., Pau L. F. A theoretical basis for expert systems. Artificial Intelligence in Economics and Management (1986) (Elsevier Science, North-Holland, The Netherlands) 11–19Google Scholar
  • Heckerman D., Breese J., Rommelse K. Decision-theoretic troubleshooting. Comm. ACM (1995) 38(3):49–57CrossrefGoogle Scholar
  • Mookerjee V. S., Dos Santos B. Inductive expert system design: Maximizing system value. Inform. Systems Res. (1993) 4(2):111–139LinkGoogle Scholar
  • Mookerjee V. S., Mannino M. V. Redesigning case based reasoning algorithms to reduce information acquisition costs. Inform. Systems Res. (1997a) 8(1):51–68LinkGoogle Scholar
  • Mookerjee V. S., Mannino M. V. Sequential decision models for expert system optimization. IEEE Trans. Knowledge Data Engrg. (1997b) 9(5):675–687CrossrefGoogle Scholar
  • Moore J. C., Whinston A. D. A model of decision-making with sequential information (part 1). Decision Support Systems (1986) 2:285–307CrossrefGoogle Scholar
  • Moore J. C., Whinston A. D. A model of decision-making with sequential information (part 2). Decision Support Systems (1987) 3:47–72CrossrefGoogle Scholar
  • Price C.Computer-Based Diagnostic Systems (1999) (Springer, London) CrossrefGoogle Scholar
  • Quinlan J. R.C4.5: Programs for Machine Learning (1993) (Morgan Kaufmann, San Francisco) Google Scholar
  • Saar-Tsechansky M., Provost F. Decision-centric active learning of binary-outcome models. Inform. Systems Res. (2007) 18(1):4–22LinkGoogle Scholar
  • Schoppers M. Real-time knowledge-based control systems. Comm. ACM (1991) 34(8):27–30CrossrefGoogle Scholar
  • Sethi S. P., Thompson G. L.Optimal Control Theory: Applications to Management Science and Economics (2000) (Kluwer Academic, Norwell, MA) Google Scholar
  • Swets J. A. Measuring the discrimination ability of diagnostic systems. Science (1988) 240(4857):1285–1293CrossrefGoogle Scholar
  • Tiong R., Koo T. Selecting construction formwork: An expert system adds economy. Expert Systems J. (1991) 3(1):5–16Google Scholar
  • Turney P. D. Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. J. Artificial Intelligence (1995) 2:369–409CrossrefGoogle Scholar
  • Ulvila J. W., Gaffney J. E. A decision analysis method for evaluating computer intrusion detection systems. Decision Anal. (2004) 1(1):35–50LinkGoogle Scholar
  • Widyantoro D. H., Yen J. Relevant data expansion for learning concept drift from sparsely labeled data. IEEE Trans. Knowledge Data Engrg. (2005) 17(3):401–412CrossrefGoogle Scholar
  • Zheng Z., Padmanabhan B. Selectively acquiring customer information. A new data acquisition problem and an active learning based solution. Management Sci. (2006) 52(5):697–712LinkGoogle Scholar
  • Zubek V. Learning cost-sensitive diagnostic policies from data. (2003) . Ph.D. dissertation thesis, University of Oregan, EugeneGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.