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Data mining (applications) HIIT retreat 2005 Hannu Toivonen 1 Current research topics • Data mining methods for genetics • • • gene mapping, haplotyping, and related problems highlight: discovery of a new asthma gene we are wrapping up work in this area • Data mining methods for bioinformatics • • • analysis of networks of (biological) data e.g.: discovering previously unknown connections between genes based on several public biological databases new project, Biomine, until end of 2007 • (Data mining for) ubiquitous computing • • • tools and methods for context-aware computing and communication on mobile devices highlight: ContextPhone software released Context project until end of 2005, after that? • Strength: algorithms for pattern discovery 2 Strategy for the next years • Shift in emphasis • from application-specific methods (e.g., gene mapping) • to more general-purpose approaches (e.g., analysis of graph data) • Example: Biomine project • analysis of graph-structured data (links between dna sequences, proteins, genes, expressions, ontologies, ...) • methods that work on graphs – biological and others • real applications, industrial and research partners • In context-awareness: stronger focus to data analysis (from constructive software work) 3 4 5 Data mining (applications) 2009 • Aim: to develop novel methods • with clear contribution to computer science • Applications • from other sciences • from industry • high potential impact • -> focus on selected application areas • • • Bioinformatics: ok? Context-awareness: where is ubiquitous computing in 2009? What are the needs really? What are the significant application areas in 2009? • Collaboration with other groups 6