Controlling Uncertainty in Discretization of Continuous Data

I
ISMVL
2004
34th International Symposium on Multiple-Valued Logic (ISMVL'04)
Abstract - Controlling Uncertainty in Discretization of Continuous Data

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34th International Symposium on Multiple-Valued Logic (ISMVL'04)

University of Toronto, Toronto, Canada

May 19-May 22

ISBN: 0-7695-2130-4

	ASCII Text	x
	Denis V Popel, Elena I Popel, "Controlling Uncertainty in Discretization of Continuous Data," Multiple-Valued Logic, IEEE International Symposium on, pp. 288-293, 34th International Symposium on Multiple-Valued Logic (ISMVL'04), 2004.

	BibTex	x
	@article{ 10.1109/ISMVL.2004.1319957, author = {Denis V Popel and Elena I Popel}, title = {Controlling Uncertainty in Discretization of Continuous Data}, journal ={Multiple-Valued Logic, IEEE International Symposium on}, volume = {0}, year = {2004}, issn = {0195-623X}, pages = {288-293}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISMVL.2004.1319957}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Multiple-Valued Logic, IEEE International Symposium on TI - Controlling Uncertainty in Discretization of Continuous Data SN - 0195-623X SP288 EP293 A1 - Denis V Popel, A1 - Elena I Popel, PY - 2004 KW - continuous data KW - decision diagrams KW - discretization KW - information theory KW - knowledge representation KW - multiple-valued logic VL - 0 JA - Multiple-Valued Logic, IEEE International Symposium on ER -

Denis V Popel, Baker University

Elena I Popel, Kansas University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISMVL.2004.1319957

There is a demand for formalization of dependencies between multiple-valued and continuous signals. The composition of both has been successfully applied to various problems of circuit design and knowledge discovery. This paper reviews some information measures in the multiple-valued and continuous domains considering different representation forms for functions with multiple-valued and continuous attributes. Being at the cross-roads of analog and discrete data processing, the paper addresses the problem known as discretization and introduces an adaptive method of finding an optimal representation of continuous data in the multiple-valued domain. Both multiple-valued and interval decision diagrams are examined for ef.cient representation of continuous data.

Index Terms:

continuous data, decision diagrams, discretization, information theory, knowledge representation, multiple-valued logic

Citation:

Denis V Popel, Elena I Popel, "Controlling Uncertainty in Discretization of Continuous Data," ismvl, pp.288-293, 34th International Symposium on Multiple-Valued Logic (ISMVL'04), 2004

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