Hofstra University - Department of Computer Science

CSC 290: Data Mining

Overview: Inexpensive computing technology makes is now possible to store vast quantities of transactional and other data. Data mining (also known as Knowledge Discovery in Databases or KDD) is the search for useful (actionable) regularities in these databases. Software for data mining is now routinely used in many industries, and even by the government. This course teaches students the fundamental problems in data mining, and the algorithms to solve them.

Bulletin description: Data Mining refers to the discovery of interesting patterns in large databases. Topics covered include: Relationship to statistics and machine learning; data warehousing; summarization; cluster analysis; classification and prediction; mining for frequently occurring patterns and association rules; recommendation systems; collaborative filtering; mining complex data; text and web mining; computational learning theory.