DS 310: Data Mining for Bus Intel

Course Description

Data Mining offers a suite of analytical techniques to examine large sets of data in order to discover, diagnose, and identify new and valuable information to aid the decision-making process. This course is designed to introduce the core concepts of data mining, its techniques, implementation, benefits and outcomes from this technology. Examples from industries such as, retail, marketing, fraud protection, personal security, health care, web and e-commerce will be presented throughout the course to emphasize usage and application of data mining. Among data mining techniques to be discussed in the course are k-means clustering, principal component analysis, factor analysis, linear and logistical regression, neural networks, decision trees, text and web mining. The class format consists of discussion of published articles/cases, presentations by business professionals, class lectures and discussions, and hands-on work with popular data mining software. (F)