Effective Use of the KDD Process and Data Mining for Computer Performance Professionals

- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. This paper defines the KDD process and discusses three data mining algorithms, neural networks, decision trees, and association/dependency rule algorithms. The algorithms' potential as good analytical tools for performance evaluation is shown by looking at results from a computer performance dataset.

• Type: Conference
• Year: 2001
• Where: CMG
• Authors: Susan P. Imberman
• Keywords: CMG 2001, CMG 2007, Data Mining, Data Mining Algorithms, Step Process