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DBST 667 Data Mining

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This course is an overview of the data mining components used in the knowledge discovery process.

Techniques and algorithms that are used for solving different kinds of problem and data applications are introduced to the student's Topics included in the course are:

  • The application of well-known statistical,
  • Machine learning, and
  • Database algorithms,
  • Decision trees,
  • Similarity measures,
  • Regression,
  • Bayes theorem,
  • Nearest neighbour,
  • Neural networks and genetic algorithms.

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Access our assignment help service for below mention course:-

  • DBST 663 Distributed Database Management Systems Assignment Help
  • DBST 667 Data Mining Assignment Help
  • DBST 652 Advanced Relational/Object-Relational Database Systems Assignment Help
  • DBST 668 Database Security Assignment Help
  • DBST 660 Advanced Data Modeling Assignment Help
  • DBST 670 Database Systems Administration Assignment Help
  • DBST 651 Relational Database Systems Assignment Help
  • DBST 665 Data Warehouse Technologies Assignment Help
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