Another dot in the blogosphere?

Data mining

Posted on: July 15, 2018

More people are probably aware of the importance of managing their personal data post-Cambridge Analytica. But how many know how data is mined, managed, or misused?


Video source

The video above provides a broad explanation of data mining. It distills the processes and purposes of data mining into five strategies:

  1. Classsification
  2. Regression
  3. Clustering
  4. Anomaly detection
  5. Association learning

I enjoyed the video. Unlike the press that focuses on negatives, the video highlighted the benefits of data mining, e.g., predicting disease before it emerges.

It also made a subtle point that is easy to miss, i.e., the bias introduced by humans who make decisions on which data to focus on and what to do with it.

Data, its collection, and its management are not right or wrong in themselves. It is what we chose to do with it that makes the difference.

We shape our tools and then our tools shape us. -- Marshall McLuhan.

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