text_combined: samuel kaski ghsbipfqzemtkkfi preliminary announcement mlg2008 6th international workshop mining learning graphs helsinki finland july 4 5 2008 colocated icml 2008 colt 2008 uai 2008 driven application areas ranging biology world wide web research data mining machine learning nowadays increasingly focusing analysis structured data particular interest data consists interrelated parts characterized collections objects interrelated linked together complex graphs structures following footsteps highly successful mlg workshops past mlg 2008 premier forum bringing together different subdisciplines within machine learning data mining focus analysis structured data workshop actively seeking contributions dealing forms structured data including limited graphs trees sequences relations networks contributions invited relevant disciplines example statistical relational learning inductive logic programming kernel methods structured data probabilistic models structured data graph mining multirelational data mining methods structured outputs network analysis workshop open theoretical algorithmical engineering applicationoriented reports topics submissions workshop extended abstract form publication papers planned special issue afterwards detailed call papers published beginning 2008 submission date planned beginning april workshop colocated icml 2008 colt 2008 uai 2008 immediately precede icml 2008 allowing participants easily attend icml 2008 well announcement subsequent information found workshops website httpwwwcishutfimlg08 workshop chairs samuel kaski helsinki university technology v n vishwanathan national ict australia stefan wrobel fraunhofer institute intelligent analysis information systems university bonn fri 08 aug 2008 110525 0200 uai preliminary cfp mlg2008 6th international workshop mining learning graphs