Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data

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First IEEE International Conference on Data Mining (ICDM'01)

San Jose, California

November 29-December 02

ISBN: 0-7695-1119-8

	ASCII Text	x
	Honghua Dai, Xiaoshu Hang, Gang Li, "Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data," Data Mining, IEEE International Conference on, pp. 586, First IEEE International Conference on Data Mining (ICDM'01), 2001.

	BibTex	x
	@article{ 10.1109/ICDM.2001.989571, author = {Honghua Dai and Xiaoshu Hang and Gang Li}, title = {Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2001}, isbn = {0-7695-1119-8}, pages = {586}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989571}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data SN - 0-7695-1119-8 SP EP A1 - Honghua Dai, A1 - Xiaoshu Hang, A1 - Gang Li, PY - 2001 VL - 0 JA - Data Mining, IEEE International Conference on ER -

Honghua Dai

Xiaoshu Hang

Gang Li

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989571

To avoid low quality problem caused by low quality data, this paper introduces an inexact field learning approach which derives rules by working on the fields of attributes with respect to classes, rather than on individual point values of attributes. The experimental results show that field learning achieved a higher prediction accuracy rate on new unseen test cases which is particularly true when the learning is performed on large low quality data.

Citation:

Honghua Dai, Xiaoshu Hang, Gang Li, "Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data," icdm, pp.586, First IEEE International Conference on Data Mining (ICDM'01), 2001

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