CAS764 DATA MINING
Objectives:
Data Mining Techniques-Data Mining Process-Process with a typical set of data-Big Data-Visualization of data through data mining software.
Data Mining Methods as Tools - Memory-Based reasoning methods of Data Mining - Algorithms with prototypical data based on real applications.
Data Stream Mining, Mining Time Series, Text Mining, Data Stream Clustering, mining Big Data
Market Basket Analysis - Fuzzy Data Mining approaches - Fuzzy Decision Tree approaches Fuzzy Association Rule applications. Rough Sets - Support Vector Machines - Genetic algorithms.
Social Computing - Analysis -Graph Mining – Social Network Mining-Web Mining – Web Usage Mining-Privacy Preserving Data Mining-Recommender Systems.
References:
Outcomes:
Students will be able to:
Understand the concepts and algorithms of data mining.
Apply data mining techniques for business intelligence.
Be aware of the privacy and security issues in data mining.