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Data Preparation

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Encyclopedia of Machine Learning and Data Mining

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.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Monash University, 63, 3800, Clayton, Melbourne, VIC, Australia

    Zahraa S. Abdallah & Lan Du

  2. Faculty of Information Technology, Monash University, 63, 3800, Victoria, Australia

    Geoffrey I. Webb

Authors
  1. Zahraa S. Abdallah
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  2. Lan Du
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  3. Geoffrey I. Webb
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Corresponding author

Correspondence to Geoffrey I. Webb .

Editor information

Editors and Affiliations

  1. The University of New South Wales, Sydney, NSW, Australia

    Claude Sammut

  2. Faculty of Information Technology, Monash University, Melbourne, VIC, Australia

    Geoffrey I. Webb

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Abdallah, Z.S., Du, L., Webb, G.I. (2017). Data Preparation. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_62

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