To develop a thorough understanding of the theory and practice of advanced data processing techniques.
This will include description and critical evaluation of data analysis, data cleaning, data representation and data manipulation issues for mining, data processing, pattern or correlation exploration and data mining issues.
Three types of relationships are addressed: classes, clusters, associations, as well as presenting data in a useful format (data visualization).
Outline Syllabus
Data Mining
Data, Information and Knowledge
Data Preparation (Statistical Evaluation, Data Selection, Data Cleaning, Transformation of Data)
Data Mining Algorithms (Association, Classification, Clustering, Time Series Analysis, Text Mining)
Data Mining Methodologies
Using Data Mining in the analysis of scientific and practical data.