Data Mining

The data mining tutorial section gives you a brief introduction of data mining, its important concepts, architectures, processes and applications. If you are new to data mining and looking for a good overview of data mining, this section is designed just for you.

What Data Mining Tutorial Covers

Data Mining Tutorial

  • What is data mining- discusses about data explosion, knowledge discovery and provides some common definitions of data mining.
  • Data mining architecture - covers various data mining architectures and discusses about advantages and disadvantages of each.
  • Advantages & disadvantages of data mining - discusses about the advantages and disadvantages of data mining using by businesses, society, governments and individual.
  • Data mining processes –  provides the Cross Industry Standard Process for Data Mining  or CRSP-DM, one of the most well-known and practical data mining process.
  • Applications of data mining – looks into data mining applications in various areas including sales/marketing, banking, insurance, health care, transportation and medicine.
  • Data mining techniques – give s you a brief overview of common data mining techniques.
  • Data mining and warehousing – discusses about the data mining and data warehouse.
  • Data mining example – gives you a real world example of data mining.