Download Data mining (applications)

Data mining (applications)
HIIT retreat 2005
Hannu Toivonen
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Current research topics
• Data mining methods for genetics
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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
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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
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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
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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)
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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
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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
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