7 data transformation

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Data transformation is the process of converting data or information from one format to another, usually from the format of a source system into the required format of a new destination system.
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  • 1. Data preparation and processing Mahmoud Rafeek Alfarra http://mfarra.cst.ps University College of Science & Technology- Khan yonis Development of computer systems 2016 Chapter 2 – Lecture 3
  • 2. Outline  Introduction  Domain Expert  Goal identification and Data Understanding  Data Cleaning  Missing values  Noisy Data  Inconsistent Data  Data Integration  Data Transformation  Data Reduction  Feature Selection  Sampling  Discretization
  • 3. Introduction
  • 4. Data Transformation
  • 5.  Definition 1: Transform the data into a form appropriate for given data mining method.  Definition 2: Data transformation is the process of converting data or information from one format to another, usually from the format of a source system into the required format of a new destination system. Data Transformation
  • 6.  Methods include:  Smoothing  Aggregation  Generalization  Normalization (min-max) Data Transformation
  • 7. Methods of Data Transformation  Normalization: Where the attributes are scaled so as to fall within a small specified ranges such as -1.0 to 1.0.
  • 8. How to handle noisy data ?
  • 9. Next: Data Reduction
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