Multivariate Approach to Modularization of the Rule Knowledge Bases-Reference-Cited by-同舟云学术

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Multivariate Approach to Modularization of the Rule Knowledge Bases

Published:2015-09-09 Issue: Volume: Page:473-483
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Simiński Roman

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-23437-3_40

Reference19 articles.

1. Berrado, A., Runger, G.C.: Using metarules to organize and group discovered association rules. Data Min. Knowl. Disc. 14(3), 409–431 (2007)

2. Browne, P.: JBoss drools business rules. Packt Publishing Ltd, Birmingham (2009)

3. Carver, N.: A revisionist view of blackboard systems. In: MAICS 1997. Dayton, USA (1997)

4. Corkill, D.D.: Blackboard systems. AI Expert 6(9), 40–47 (1991)

5. Giarratano, J.C., Riley, G.: Expert systems. PWS Publishing Co., Boston (1998)

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2. A Performance Study of Two Inference Algorithms for a Distributed Expert System Shell;Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation;2017

3. Knowledge Exploration in Medical Rule-Based Knowledge Bases;Computational Collective Intelligence;2017

4. Decision Fusion Methods in a Dispersed Decision System - A Comparison on Medical Data;Computational Collective Intelligence;2017

5. The Experimental Evaluation of Rules Partitioning Conception for Knowledge Base Systems;Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part I;2016-09-17

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