Skip to main content
Log in

Intelligent data analysis systems

  • Papers
  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

A variety of approaches to the intelligent analysis of complex manufacturing data have been described in the literature. A comparative analysis of these systems reveals underlying similarities in their functional organizations. This leads to the development of a general functional model for intelligent data analysis (IDA).

This article describes the various data analysis systems studied, the general model for IDA, and the implementation of a demonstration IDA system. The implementation serves to demonstrate the feasibility of this approach, and provides directions for further research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abraham, L. A. and Mohn, S. (1989) Expert database systems in manufacturing, in Proceedings of ISA/89 International Conference on Advanced Instrumentation & Control, October 1989, pp. 581-584.

  • Anderson, K. R., Coleman, D. E., Hill, C. R., Jaworski, A. P., Love, P. L., Spindler, D. A. and Simaan, M. (1989) Knowledge-based statistical quality control, in Innovative Applications of AI, Schorr, H. and Rappaport, A. (eds), AAAI Press, p. 169.

  • Blum, R. L. (1982) Discovery and representation of causal relationships from a large time-oriented clinical database: the RX project, in Lecture Notes in Medical Informatics, Vol. 19, Springer-Verlag.

  • Brown, D. C. and Posco, P. (1986) Expert browsing in manufacturing databases, in Proceedings of ASME Computers in Engineering Conference, August 1986, pp. 233-238.

  • Chimenti, D., Gamboa, R., Krishnamurthy, R., Naqvi, S., Tsur, S. and Zaniolo, C. (1990) The LDL system prototype. IEEE Transactions on Knowledge and Data Engineering, 2(1), 76–90.

    Google Scholar 

  • Conklin, J. (1987) Hypertext: An introduction and survey. IEEE Computer, 17-41.

  • Dankel, D. (1980) Browsing in databases, PhD Thesis, Department of Computer Science, University of Illinois.

  • Drill (1989) Guide to Drill: User Guide and Reference Manual, November 1989, KITS, Digital Equipment Corporation, Shrewsbury, MA.

    Google Scholar 

  • Durrett, H. J. (ed.) (1987) Color and the Computer, Academic Press Inc.

  • Gipe, J. P. and Jasinski, N. D. (1986) Expert system applications in quality assurance. Annual Quality Congress Transactions, American Society for Quality Control, 280–284.

  • Golshani, F. and Tin, Y. (1986) Inferential databases - design & Implementation, Technical report, Department of Computer Science, Arizona State University.

  • Grant, E. L. and Leavenworth, R. S. (1988) Statistical Quality Control, McGraw-Hill.

  • Gray, P. (1985) Expert systems and object-oriented databases: evolving a new software architecture, in British Computer Society Specialist Group on Expert Systems Technical Conference - Expert Systems Proceedings, pp. 284–295.

  • Hahn, G. J. (1985) More intelligent statistical software and statistical expert systems - future directions. American Statistician, 39(1), 34.

    Google Scholar 

  • HaKong, L. and Hickman, F. R. (1985) Expert system techniques - an application in statistics, in Expert Sytems 85 (Proceedings of the Fifth Technical Conference of the British Computer Society), pp. 43–63.

  • Jackson, P. (1990) Introduction to Expert Systems, Addison-Wesley.

  • Kim, W. and Lochovsky, F. H. (eds) (1989) Object-oriented Concepts, Databases and Applications, Addison-Wesley.

  • Long, J. M., Irani, E. A., Slagle, J. R. and the POSCH Group

  • Lubinsky, D. J. (1989) Discovery from databases: a review of AI & statistical techniques, in Knowledge Discovery in Databases, IJCAI-89 Workshop Proceedings, pp. 204–218.

  • Nielsen, J. (1990) Hypertext and Hypermedia, Academic Press.

  • Nielson, G. M. and Shriver, B. D. (1990) Visualization in Scientific Computing, IEEE Computer Society Press.

  • Nikhil, R. (1979) A structured approach to alerters and alerter systems, MS Thesis, Department of Computer & Information Sciences, University of Pennsylvania.

  • Patil, P. (1991) Intelligent data analysis systems and their configuration, MS Thesis, Computer Science Department, Worcester Polytechnic Institute.

  • Posco, P. and Brown, D. C. (1986) The analysis of complex manufacturing data using expert diagnostic browsing, in Symposium on KB ES for Manufacturing, Production Engineering division, ASME, pp. 107–118.

  • Stonebraker, M., Hanson, E. N. and Potomianos, S. (1988) The POSTGRES rule manager. IEEE Transactions on Software Engineering, 14(7), 897.

    Google Scholar 

  • Tufte, E. (1990) Envisioning Information, Graphics Press.

  • West (1958) Statistical Quality Control Handbook, Western Electric Company, Inc. New York, The Company.

  • Yousry, M. A. and Parry, B. (1988) Intelligent analysis system - IAS, in Expert Systems and Intelligent Manufacturing - Proceedings of the Second International Conference on ES and the Leading Edge in Production Planning and Control, pp. 471–477.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Patil, P., Brown, D.C. & Hachem, N.I. Intelligent data analysis systems. J Intell Manuf 4, 121–137 (1993). https://doi.org/10.1007/BF00123906

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00123906

Keywords

Navigation