GeekArticles
Concepts
Data Mining


An Overview of Data Mining Techniques
This overview provides a description of some of the most common data mining algorithms in use today. We have broken the discussion into two sections, each with a specific theme: 1) Classical Techniques such as statistics, neighborhoods and clustering, and 2) Next Generation Techniques such as trees, networks and rules. Each section will describe a number of data mining algorithms at a high level, focusing on the "big picture" so that the reader will be able to understand how each algorithm fits into the landscape of data mining techniques.
Sponsored Links
Read Next: Data Mining and Customer Relationships
Related Topics
Subscribe via RSS
Data Mining
- Discovering hidden value in your data warehouse
- Machine Learning and Data Mining
- Data Mining Lab
- Data Mining and Document Modeling
- Statistical Data Mining Tutorials
- An Overview of Data Mining Techniques
- Data Mining and Customer Relationships
- Understanding Data Mining
- Visualizing Data Mining Models
- Data Mining Can Bring Pinpoint Accuracy to Sales