Scientific knowledge discovery using inductive logic programming

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Scientific knowledge discovery using inductive logic programming

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Communications of the ACM archive
Volume 42 , Issue 11 (November 1999) table of contents

Pages: 42 - 46

Year of Publication: 1999

ISSN:0001-0782

Author

Stephen Muggleton

Univ. of York in Heslington, York, U.K.

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 5, Downloads (12 Months): 87, Citation Count: 6

Additional Information:

appendices and supplements references cited by index terms collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Ivan Bratko , Stephen Muggleton, Applications of inductive logic programming, Communications of the ACM, v.38 n.11, p.65-70, Nov. 1995 [doi>10.1145/219717.219771]
	2	Paul Finn , Stephen Muggleton , David Page , Ashwin Srinivasan, Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL, Machine Learning, v.30 n.2-3, p.241-270, Feb./ March, 1998 [doi>10.1023/A:1007460424845]
	3	King, R., Muggleton, S., Srinivasan, A., and Sternberg, M. Structure-activity relationships derived by machine learning: The use of atoms and their bond connectives to predict muta-genicity by inductive logic programming. In Proc. Nat. Acad. Sci. (1996), 438-442.
	4	Muggleton, S. Inverse entailment and Progol. New Gen. Comput. 13 (1995), 245-286.
	5	Muggleton, S. and De Raedt, L. Inductive logic programming: Theory and methods. J. Logic Program 19/20 (May/June 1994), 629-679.
	6	Sternberg, M., King, R., Lewis, R., and Muggle-ton, M. Application of machine learning to structural molecular biology. Philo. Trans. Royal Society B 344 (1994), 365-371.
	7	Marcel Turcotte , Stephen Muggleton , Michael J. E. Sternberg, Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure, Proceedings of the 8th International Workshop on Inductive Logic Programming, p.53-64, July 22-24, 1998

CITED BY 6

	E. E. Vityaev , B. Y. Kovalerchuk, Discovery of empirical theories based on the measurement theory, Minds and Machines, v.14 n.4, p.551-573, November 2004
	Michihiro Kuramochi , George Karypis, An Efficient Algorithm for Discovering Frequent Subgraphs, IEEE Transactions on Knowledge and Data Engineering, v.16 n.9, p.1038-1051, September 2004
	Naren Ramakrishnan , Deept Kumar , Bud Mishra , Malcolm Potts , Richard F. Helm, Turning CARTwheels: an alternating algorithm for mining redescriptions, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, August 22-25, 2004, Seattle, WA, USA
	Emma Byrne , Anthony Hunter, Evaluating violations of expectations to find exceptional information, Data & Knowledge Engineering, v.54 n.2, p.97-120, August 2005
	Michihiro Kuramochi , George Karypis, Finding Frequent Patterns in a Large Sparse Graph*, Data Mining and Knowledge Discovery, v.11 n.3, p.243-271, November 2005
	Ying Jin , T. M. Murali , Naren Ramakrishnan, Compositional mining of multirelational biological datasets, ACM Transactions on Knowledge Discovery from Data (TKDD), v.2 n.1, p.1-35, March 2008

INDEX TERMS

Primary Classification:
J. Computer Applications

Additional Classification:
I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE
I.2.3 Deduction and Theorem Proving
Subjects: Logic programming
I.2.6 Learning
Subjects: Induction

General Terms:
Design

Collaborative Colleagues:

Stephen Muggleton: colleagues

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