Statistical Considerations in Learning from Data

I
ICDM
2001
First IEEE International Conference on Data Mining (ICDM'01)
Abstract - Statistical Considerations in Learning from Data

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	Similar Articles Articles by Henry E. Kyburg Jr

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

San Jose, California

November 29-December 02

ISBN: 0-7695-1119-8

	ASCII Text	x
	Henry E. Kyburg Jr, "Statistical Considerations in Learning from Data," Data Mining, IEEE International Conference on, pp. 321, First IEEE International Conference on Data Mining (ICDM'01), 2001.

	BibTex	x
	@article{ 10.1109/ICDM.2001.989535, author = {Henry E. Kyburg Jr}, title = {Statistical Considerations in Learning from Data}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2001}, isbn = {0-7695-1119-8}, pages = {321}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989535}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Statistical Considerations in Learning from Data SN - 0-7695-1119-8 SP EP A1 - Henry E. Kyburg Jr, PY - 2001 VL - 0 JA - Data Mining, IEEE International Conference on ER -

Henry E. Kyburg Jr

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989535

In this paper we focus on statistics. Classical statistics and Bayesian statistics are both employed in data mining. Both have advantages but both also have severe limitations in this context. We point out some of these limitations as well as s me of the advantages. The fact that we may need to take account of evidence both internal and external to the data set presents a difficulty for classical statistics. The need to incorporate an objective measure of reliability creates a difficulty for Bayesian statistics.

We outline an approach to uncertainty that promises to capture the best of both worlds by incorporating both background knowledge and objectivity.

Citation:

Henry E. Kyburg Jr, "Statistical Considerations in Learning from Data," icdm, pp.321, First IEEE International Conference on Data Mining (ICDM'01), 2001

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