A notation and representation for describing and evolving correlation patterns

This source preferred by Keith Phalp

Authors: Vincent, J., Engen, V., Langenberg, S., Phalp, K.T. and Mintram, R.

Start date: 29 August 2007

This paper considers the problem of evolving machines that accept specific patterns within a sequence of' events (c.g. for event correlation). A set of fundalnental relation ships (spatial and temporal) among events is identified, and a compact and descriptive notation for specifying correla tion patterns is derived. This notation is then clapped to a tree structure amenable to genetic programming operators, which allows evolution of correlation patterns. This work is partially funded by the EC 6th Frame work IST project Misuse I'.letection System (1ST-026459).

This data was imported from Scopus:

Authors: Vincent, J., Engen, V., Langenberg, S., Phalp, K., Mintram, R. and Anyakoha, C.

Journal: Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2007

Pages: 207-212

ISBN: 9780889866935

This paper considers the problem of evolving machines that accept specific patterns within a sequence of events (e.g. for event correlation). A set of fundamental relationships (spatial and temporal) among events is identified, and a compact and descriptive notation for specifying correlation patterns is derived. This notation is then mapped to a tree structure amenable to genetic programming operators, which allows evolution of correlation patterns.

This data was imported from Web of Science (Lite):

Authors: Vincent, J., Engen, V., Langenberg, S., Phalp, K., Mintram, R. and Anyakoha, C.

Journal: PROCEDINGS OF THE 11TH IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING

Pages: 207-212

ISBN: 978-0-88986-693-5

The data on this page was last updated at 04:51 on July 17, 2018.