Resources / Dragon1 Glossary of Terms

Data Mining Definition

Data mining is the process of finding patterns and opportunities in very large sets of data and take action upon them. Methods used in Data Mining come from business analytics, artificial intelligence, machine learning and statistics.

Data Mining is sometimes also seen as knowledge discovery in databases.

Data Mining Examples

Some well-known example of data mining are:

  • Grouping data on web shops can be very hard to do. What groups to choose? With data mining one can see based on user search data what the groups are people tend to look for.
  • Detecting groups behavior in a certain part of a process. With data mining you can answer the question: which 5 steps do most users take after signing up to the system?
  • Data mining can help to reveal who the most successful and efficient employees are and which customers are the best clients.

Data Mining Techniques

Often used techniques in data mining are:

  • Data mining software uses advanced pattern recognition algorithms to sift through large amounts of data. This assists discovery of unknown business information at strategic level.
  • Sequence mining is a technique used in Human Genetics to learn to understand the relationship between the inter-individual variations in human DNA sequence and the variability in disease susceptibility.

Read more

Read more about Data Mining spotting opportunities using big visualizations.

Read more about examples of data mining here.

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