DMBI notes #3

Dated 24-1-17

2. Data Exploration

  • Cosine similarity

  • Data visualization


  1. Pixel oriented visualization techniques.
  2. Geometric projection visualization techniques.
  3. Icon based visualization technique.

Dated 25-1-17

  • Forms of data preprocessing
  • Data clearing
  • Data integration
  • Data reduction
  • Data transformation

  • Need for data processing
  1. Reason for incomplete data.
  2. Reason for noisy data.

  • Data preprocessing techniques
  1. Data cleaning


  • Methods for data cleaning


  1. Missing values


  1. Ignore the tuple.
  2. Fill in the missing values manually.
  3. Use a global constant value “Unknown”
  4. Use attribute mean
  5. Use attribute mean for all similarities.


  1. Noisy data


  • Methods to remove noise.
  1. binning

DMBI notes #3 DMBI notes #3 Reviewed by akshay salve on 11:16 PM Rating: 5

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