IFS 480 Big Data & Advanced Data Mining

Fall

This course examines a variety of approaches for strategic data mining and presents concepts and techniques in managing and analyzing large data sets for data discovery and modeling. Topics include understanding unstructured data sets, distributed file systems and map-reduce technology, issues in big data (e.g., collections, warehousing, preprocessing and querying); mining, cluster analysis, associations analytics, out-of-core, online, sampling-based, and approximate learning algorithms, model evaluation and applications allowing the student to leverage the power of untapped organizational data. The ability to mine and analyze large data sets is essential to the performance and competitive advantage of all business organizations. Prerequisite: IFS 465.

3 credit hours