Claudia Antunes Trusted member

Assistant Professor

Technical University of Lisbon, Instituto Superior Técnico, Dep. Computer Science and Engineering, Lisbon, Portugal

Biography & Interests

I have concluded my PhD in the domain of data mining and machine learning, proposing new methods and methodologies for dealing with temporal data, in particular for mining event sequential patterns. In my thesis, I argued that “It is possible to efficiently use constrained sequential pattern mining algorithms over nominal temporal data to discover unknown information, keeping the process centered on the user.” For proving my claim, I introduced the concept of constraint relaxation and proposed methods for mining frequent patterns in the presence of domain knowledge, represented as a context-free language. Currently, I'm working on domain driven data mining, in particular on pattern mining combined with ontologies, and on educational data mining, where I've been proposing adapted methodologies to deal with educational data and context.

Mining complex knowledge form complex data Using background knowledge to guide the mining process Structured pattern mining Temporal data mining Educational data mining