Data Mining System

A Data Mining System is a Computing System that can solve a Data Mining Task.

• AKA: Data Mining Package.
• Context:
  • It can be used by a Data Mining Practitioner during a Data Mining Act.
  • It can be:
    • a Data Mining System.
• Example(s):
  • Weka System
  • RadidMiner System
  • SAS System.
  • MatLab System.
  • SPSS System.
  • System R.
• See: Data Mining Discipline.

References

2000

• (Witten & Frank, 2000) => Ian H. Witten, and Eibe Frank. (2000). "Data Mining: practical machine learning tools and techniques with Java implementations. Morgan Kaufmann.
  • Machine learning systems can use a wide variety of other information about attributes. For instance, dimensional considerations could be used to restrict the search to expressions or comparisons that are dimensionally correct. Circular ordering could affect the kinds of tests that are considered. For example, in a temporal context, tests on a day attribute could involve next day, previous day, next week, same day next week. Partial orderings, that, generalize/specialization relations, frequently occur in practical situations. Information this kind is often referred to as metadata, data about data. However, the kind of practical schemes currently used for data mining are rarely capable of taking metadata into account, although it is likely that these capabilities will develop rapidly in the future.