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Knowledge-directed induction in a DB environment

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IEA/AIE '90: Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1

Pages 325 - 332

https://doi.org/10.1145/98784.98850

Published: 01 June 1990 Publication History

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Abstract

Integrated with Artificial Intelligence (AI) techniques such as conceptual inductive inference, databases can become important sources of knowledge for people and expert systems in various application domains. This paper describes an inductive model and the knowledge-directed inductive technique, known as bias management, of an general conceptual inductive methodology in a database environment.

References

[1]

Fisher, D.H., "Knowledge Acquisition Via Incremental Conceptual Clustering", Machine Learning, Vol.2, 139-172, Kluwer Academic Publishers, Boston, 1987.

Digital Library

Google Scholar

[2]

Hayes-Roth, F. and J. McDermott, "An Interference Matching technique for Inducing Abstractions'', Communications of lhe ACM, Vol. 21, No. 5, 1978.

Digital Library

Google Scholar

[3]

Holland, J.H., Induction: Processes of Inference, Learning, and Discovery, MIT Press, 1986.

Digital Library

Google Scholar

[4]

Ke, M. &: M. Ali, "A Learning, Representation and Diagnostic Methodology for Fault Diagnosis'', Prvc. of the 2nd Int'l Conf. on Industrial Engineering Applications of AI ~ Ezpert Systems, Tullahoma, TN, June, 1989.

Digital Library

Google Scholar

[5]

Lebowitz, M., "Concept learning in a rich input domain: Generalization-base memory", in Machine Learning, An Arlificial Inlelligence Approach, R.S. Michalski, J.G. Carbonell, and T.M. Mitchell (eds.), Vol.II, Morgan Kaufmann, Los Altos, CA, 1986.

Google Scholar

[6]

Medin, D.L., W.D. Wattenmaker & R.S. Michalski, "Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Perfromance," Cognitive Science 11, 1987.

Google Scholar

[7]

Michalski, R.S. and R.E. gtepp, "Learning from Observation: Conceptual Clustering", in Machine Learning, An Artificial Intelligence Approach, R.S. Michalski, J.G. Carbonell, and T.M. Mitchell (eds.), Morgan Kaufmann, Los Altos, 1983a.

Google Scholar

[8]

Michalski, R.S., "A Theory and Methodology of Inductive Learning", in Machine Learning, An Artificial Intelligence Approach, R.S. Michalski, J.G. Carbonell, and T.M. Mitchell (eds.), Morgan Kaufmann, Los Altos, 1983b.

Google Scholar

[9]

Rendell, L.A., R.M. Seshu, and D.K. Tcheng, "Dynamically-variable Bias Management for Robust Concept Learning", in Proc. of the l Oth Int'l Joint Conf. on A.L, Milan, Italy, Morgan Kaufmann, 1987.

Google Scholar

[10]

Utgoff, P.E., "Shift of bias for inductive concept learning", in Machine Learning, An Artificial Intelligence Approach, R.S. Michalski, J.G. Carbonell, and T.M. Mitchell (eds.), Vol.II, Morgan Kaufmann, Los Altos, CA, 1986b.

Google Scholar

[11]

Utgoff, P.E., Machine Learning of Inductive Bias, Kluwer Academic Publishers, 1986a.

Digital Library

Google Scholar

[12]

Vere, S.A., "Induction of Concepts in the Predicate Calculus", Proc. of the dth Int'l Joint Conf. on Artificial Intelligence, iJCAI, Tbilisi, USSR, 1975.

Google Scholar

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Roddick JCraske NRichards T(1996)Handling Discovered Structure in Database SystemsIEEE Transactions on Knowledge and Data Engineering10.1109/69.4941638:2(227-240)Online publication date: 1-Apr-1996
https://dl.acm.org/doi/10.1109/69.494163
Ke MAli M(1991)Induction in database systems: A bibliographyApplied Intelligence10.1007/BF001190001:3(263-270)Online publication date: Nov-1991
https://doi.org/10.1007/BF00119000

Index Terms

Knowledge-directed induction in a DB environment
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Logical and relational learning
        Inductive logic learning
2. Information systems

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Modern Inductive Logic is an important component in inductive learning logic, which is one of the basic cognitive skills in experience knowledge acquisition. The consistency of inductive logic and inductive learning in research object and method make it ...

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IEA/AIE '90: Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1

June 1990

582 pages

ISBN:0897913728

DOI:10.1145/98784

Chairman:
Manton M. Matthews

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 June 1990

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Roddick JCraske NRichards T(1996)Handling Discovered Structure in Database SystemsIEEE Transactions on Knowledge and Data Engineering10.1109/69.4941638:2(227-240)Online publication date: 1-Apr-1996
https://dl.acm.org/doi/10.1109/69.494163
Ke MAli M(1991)Induction in database systems: A bibliographyApplied Intelligence10.1007/BF001190001:3(263-270)Online publication date: Nov-1991
https://doi.org/10.1007/BF00119000

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A visual and interactive environment for knowledge acquisition

The use of a group decision support system environment for knowledge acquisition

Research on Cognitive Induction Based Knowledge Acquisition

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A visual and interactive environment for knowledge acquisition

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Research on Cognitive Induction Based Knowledge Acquisition

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