Data mining

Data mining

1. the data is stored electronically and the search is automated

2. What is new is the staggering increase in opportunities for finding patterns in data

3. As the world grows in complexity, overwhelming us with the data it generates, data mining becomes our only hope for elucidating hidden patterns. Intelligently analyzed data is a valuable resource. It can lead to new insights, and, in commercial settings, to competitive advantages

4. Data mining is about solving problems by analyzing data already present in databases.

5. Data mining is defined as the process of discovering patterns in data. The process must be automatic or (more usually) semiautomatic

   • The patterns discovered must be meaningful in that they lead to some advantage, usually an economic one
     • To discover or tread these patterns there are some techniques
       • Most of the techniques covered have developed within a field known as machine learning

6. Example Data miming looking for structural paterns

7. Data mining Areas

   • Web Mining
     • Web Mining Mining information on the World Wide Web is an exploding growth area

8. Data mining aplications

   • Decisions Involving Judgment
   • Screening Images
   • Load Forecasting
   • Diagnosis
   • Marketing and Sales

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