The data mining tutorial section gives you a brief introduction to 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
- What is data mining– discusses data explosion, knowledge discovery and provides some common definitions of data mining.
- Data mining architecture – covers various data mining architectures and discusses the advantages and disadvantages of each.
- Advantages & disadvantages of data mining – discusses the advantages and disadvantages of data mining using by businesses, society, governments, and individuals.
- 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 processes.
- Applications of data mining – look into data mining applications in various areas, including sales/marketing, banking, insurance, healthcare, transportation, and medicine.
- Data mining techniques – give you a brief overview of common data mining techniques.
- Data mining and warehousing – discusses the data mining and data warehouse.