The areas covered include association analysis, classification, clustering, text mining, web mining, graph and stream time series mining.
- Identify the process of data mining and KDD (Knowledge Discovery from Databases).
- Analyze the applicability of different data mining and KDD algorithms.
- Design algorithms to solve problems related to classifications and clustering, as well as identify association rules from a database.
- Apply the concepts and algorithms of text mining, web mining, graph mining and stream and time series mining.
- Evaluate the performance of data mining and KDD algorithms.
- Compare and contrast the performances of different data mining algorithms
- Evaluate the scalability of data mining algorithms.
- Analyze the data characteristics that affect the effectiveness of data mining.
- Examine the limitations of data mining and KDD algorithms