MIS 522

Knowledge Management and Data Mining -
This course will cover data mining for business intelligence. Data mining refers to extracting or “mining” knowledge from large amounts of data. It consists of several techniques that aim at discovering rich and interesting patterns that can bring value or “business intelligence” to organizations. Examples of such patterns include fraud detection, consumer behavior, and credit approval. The course will cover the most important data mining techniques: classification, clustering, association rule mining, visualization, prediction ;through a hands-on approach using XL Miner and other specialized software, such as the open-source WEKA software.