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Data for Data Mining

Name: Data for Data Mining
Creator: Max Bramer

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2013Publisher:Springer London

Authors: Max Bramer;

doi: 10.1007/978-1-4471-4884-5_2 , 10.1007/978-1-4471-7307-6_2 , 10.1007/978-1-4471-7493-6_2

Data for Data Mining

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Abstract

This chapter introduces the standard formulation for the data input to data mining algorithms that will be assumed throughout this book. It goes on to distinguish between different types of variable and to consider issues relating to the preparation of data prior to use, particularly the presence of missing data values and noise. The UCI Repository of datasets is introduced.

Related Organizations

University of Portsmouth
United Kingdom

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	15
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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