Data Mining of Massive Datasets
This course provides an introduction to data mining concepts over structured and un-structured data with special emphasis on practical applications of this important research area. Data Mining usually involves the extraction and discovery of useful knowledge from raw data. The discovery process, also known as knowledge discovery, includes feature selection, data cleaning, and coding and entails the use of different statistical and machine learning techniques. The course will cover these areas. Throughout the whole process, students will be provided with examples that will serve to illustrate concepts being introduced. Students will also learn how to solve real-life problems using state-of-the-art technologies for data analyses.