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Intelligent Java Objects

  • Conference paper
JIT’99

Part of the book series: Informatik aktuell ((INFORMAT))

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Zusammenfassung

Intelligent Java Objects provides java classes in support of a variety of artificial intelligence functions. Business objects such as people, products, projects are contained in Object Sets on which predicates can be applied. The predicates can be combined in a way similar to Logic Programming. This enables applications in support of expert systems, data mining, plan determination and classification

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References

  1. Thomsen, E.: OLAP Solutions, John Wiley & Sons, 1999.

    Google Scholar 

  2. Weber, J.: Using Java 2 Platform, QUE, 1999.

    Google Scholar 

  3. Levi, G., Rodriguez Artalejo, M.: Algebraic and Logic Programming, Springer, Berlin 1994.

    Google Scholar 

  4. Beierle, C., Pluemer, L.: Logic Programming: Formal Methods and Practical Applications, Elsevier, Amsterdam, 1995.

    MATH  Google Scholar 

  5. MacNeill, D., Freiberger, P.: Fuzzy Logic, Droemer-Knaur, Muenchen, 1994.

    Google Scholar 

  6. Marsch, J., Fritze, J.: SQL, Vieweg, Braunschweig 1992.

    Google Scholar 

  7. Groff, J.R., Weinberg, PN.: Using SQL, MacGraw-Hill, Berkeley, 1990.

    Google Scholar 

  8. Dhar, V., Stein, R.: Seven Methods for Transforming Corporate Data into Business Intelligence, Prentice-Hall, Englewood Cliffs, 1997.

    Google Scholar 

  9. Cabena, P., Hadjinian, P., Stadler, R.: Discovering Data Mining, Prentice-Hall, Upper Saddle River, 1998.

    Google Scholar 

  10. Carrel-Billiard, M., Akerley, J.: Programming with Visual Age for Java, Prentice-Hall, Englewood Cliffs, 1998.

    Google Scholar 

  11. Jakab, P., Nilsson, D.P.: Developing Java Beans using Visual Age for Java, Wiley, New York, 1998.

    Google Scholar 

  12. Clark, K.L., McCabe, F.G.: PROLOG: A language for implementing expert systems, Machine Intelligence 10, 1982.

    Google Scholar 

  13. Ng, K.W., Luk, C.K.: A survey of languages integrating functional, object oriented and logic programming, Microprocessing and Microprogramming 51, 1995.

    Google Scholar 

  14. Jenkins, M., Chester, D.: A combined Object-Oriented and Logic Programming Tool for AI, Proc. Of the 1993 IEEE Int’.l Conf. with AI, Boston, 1993.

    Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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Diel, H. (1999). Intelligent Java Objects. In: Cap, C.H. (eds) JIT’99. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60247-4_7

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  • DOI: https://doi.org/10.1007/978-3-642-60247-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66464-2

  • Online ISBN: 978-3-642-60247-4

  • eBook Packages: Springer Book Archive

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