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DATA WAREHOUSING FUNDAMENTALS: A Comprehensive Guide for IT Professionals by Paulraj Ponniah

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17.5. CHAPTER SUMMARY

  • Decision support systems have progressed to data mining.

  • Data mining, which is knowledge discovery, is data-driven, whereas other analysis techniques such as OLAP are user-driven.

  • The knowledge discovery process in data mining uncovers relationships and patterns not readily known to exist.

  • Six distinct steps comprise the knowledge discovery process.

  • In information retrieval and discovery, OLAP and data mining can be considered to be complementary as well as different.

  • The data warehouse is the best source of data for a data mining operation.

  • Major common data mining techniques are cluster detection, decision trees, memory-based reasoning, link analysis, neural networks, and genetic algorithms.

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