Mining of Big Datasets, 5 op

Core content

• The concept and terminology of data mining.
• Understanding the principles of processing large, non-structured datasets.
• Basic methods and algorithms for the analysis of large datasets
• Common tasks of mining large datasets such as similarity analysis, link analysis, finding frequent itemsets, clustering
• Common applications of mining large datasets such as recommendation systems, web search, mining of social network graphs

Complementary knowledge

• Mining data streams
• Special challenges of processing large datasets: memory usage and data formats.
• Deep learning methods in mining large datasets
  

Specialist knowledge

• Mapreduce algorithm.
• Locality-sensitive hashing
• Distance measures
• More advanced algorithms for mining large datasets