Topics Covered in This Course (Cont.)

Data Mining
Data mining is the process of analyzing data from different perspectives and summarizing it into useful information—information that can be used to increase revenue, cut costs, or both.

Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. The key properties of data mining are

  • Automatic discovery of patterns,
  • Prediction of likely outcomes,
  • Creation of actionable information, and
  • Focus on large data sets and databases.

Web Mining
Web mining is the extraction of interesting and potentially useful patterns and implicit information from artifacts or activity related to the World Wide Web. There are three kinds of web mining:

  • Content: for the data found on web pages and inside of documents,
  • Structure: from links between pages, people and other data, and
  • Usage: from server logs and web browser activity tracking.

Review: Web Mining
    Which web mining does NOT exist normally?

      Web content mining
      Web semantic mining
      Web structure mining
      Web usage mining
Result:        




      “I AM IGNORANT of absolute truth. But I am humble before    
      my ignorance and therein lies my honor and my reward.”    
      ― Khalil Gibran