Identifying by or dividing data into classes based on similar features.
Gathering data from physical or digital environments driven by research interests.
Finding and fixing errors in given data.
Creating new data or contents based on given instructions or parameters.
Improving data quality and performance.
Organizing hierarchies based on data relevance within a given context.
Detecting and identifying patterns in data based on given instruction or previous knowledge.
Suggesting contents based on past behaviours, preferences, or relevance within a given context.
Selecting and disclosing relevant data with the overall meaning.
Evaluating the performance and functionality based on parameters.
Transforming (existing) data from one domain to another preserving context meaning.
Transforming data into visual outputs useful for exploration or explanation.