Data Preparation

Zahraa S. Abdallah; Lan Du; Geoffrey I Webb

doi:10.1007/978-1-4899-7502-7_62-1

Data Preparation

Zahraa S. Abdallah, Lan Du, Geoffrey I Webb

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Abstract

Before data can be analyzed, they must be organized into an appropriate form. Data preparation is the process of manipulating and organizing data prior to analysis.
Data preparation is typically an iterative process of manipulating raw data, which is
often unstructured and messy, into a more structured and useful form that is ready for further analysis. The whole preparation process consists of a series of major activities (or tasks) including data profiling, cleansing, integration, and transformation.

Original language	English
Title of host publication	Encyclopedia of Machine Learning and Data Mining
DOIs	https://doi.org/10.1007/978-1-4899-7502-7_62-1
Publication status	Published - 2016

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@inbook{c1935e106f6b4c478c07cabf22708dd4,

title = "Data Preparation",

abstract = "Before data can be analyzed, they must be organized into an appropriate form. Data preparation is the process of manipulating and organizing data prior to analysis.Data preparation is typically an iterative process of manipulating raw data, which isoften unstructured and messy, into a more structured and useful form that is ready for further analysis. The whole preparation process consists of a series of major activities (or tasks) including data profiling, cleansing, integration, and transformation.",

author = "Abdallah, {Zahraa S.} and Lan Du and Webb, {Geoffrey I}",

year = "2016",

doi = "10.1007/978-1-4899-7502-7_62-1",

language = "English",

isbn = "978-1-4899-7502-7",

booktitle = "Encyclopedia of Machine Learning and Data Mining",

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TY - CHAP

T1 - Data Preparation

AU - Abdallah, Zahraa S.

AU - Du, Lan

AU - Webb, Geoffrey I

PY - 2016

Y1 - 2016

N2 - Before data can be analyzed, they must be organized into an appropriate form. Data preparation is the process of manipulating and organizing data prior to analysis.Data preparation is typically an iterative process of manipulating raw data, which isoften unstructured and messy, into a more structured and useful form that is ready for further analysis. The whole preparation process consists of a series of major activities (or tasks) including data profiling, cleansing, integration, and transformation.

AB - Before data can be analyzed, they must be organized into an appropriate form. Data preparation is the process of manipulating and organizing data prior to analysis.Data preparation is typically an iterative process of manipulating raw data, which isoften unstructured and messy, into a more structured and useful form that is ready for further analysis. The whole preparation process consists of a series of major activities (or tasks) including data profiling, cleansing, integration, and transformation.

UR - https://research.monash.edu/en/publications/27ad4c70-8e48-4f88-903c-a2dcb95b54ee

U2 - 10.1007/978-1-4899-7502-7_62-1

DO - 10.1007/978-1-4899-7502-7_62-1

M3 - Entry for encyclopedia/dictionary

SN - 978-1-4899-7502-7

BT - Encyclopedia of Machine Learning and Data Mining

ER -

Data Preparation

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