andrienko xlvcvyuwglfohujqaisfraunhoferde please excuse multiple crosspostings call papers ecmlpkdd05 workshop mining spatiotemporal data porto monday 3rd october 2005 16th european conference machine learning ecml05 9th european conference principles practice knowledge discovery databases pkdd05 workshop homepage httpwwwdiunibaitmalerbaactivitiesmstd technical description spatiotemporal data mining emerging research area dedicated development application novel computational techniques analysis large spatiotemporal databases main impulse research subfield data mining comes large amount spatial data made available gis cad robotics computer vision applications computational biology mobile computing applications temporal data obtained registering events eg telecommunication web traffic data monitoring processes workflows temporal spatial dimensions add substantial complexity data mining tasks first spatial relations metric distance nonmetric topology direction shape etc temporal relations information bearing therefore need considered data mining methods secondly spatial temporal relations implicitly defined explicitly encoded database relations must extracted data tradeoff precomputing actual mining process starts eager approach computing onthefly actually needed lazy approach moreover despite much formalization space time relations available spatiotemporal reasoning extraction spatialtemporal relations implicitly defined data introduces degree fuzziness may large impact results data mining process thirdly working level stored data geometric representations points lines regions spatial data time stamps temporal data often undesirable instance urban planning researchers interested possible relations two roads either cross run parallel confluent independently fact two roads represented one tuples relational table lines regions therefore complex transformations required describe units analysis higher conceptual levels humaninterpretable properties relations expressed fourthly spatial resolution temporal granularity direct impact strength patterns discovered datasets interesting patterns likely discovered lowest resolutiongranularity level hand large support likely exist higher levels fifthly many rules qualitative reasoning spatial temporal data eg transitive properties temporal relations well spatiotemporal ontologies provide valuable source domain independent knowledge taken account generating patterns express rules integrate spatiotemporal reasoning mechanisms data mining systems still open problems additional research issues related spatiotemporal data mining concern visualization spatiotemporal patterns phenomena scalability methods data structures used represent efficiently index spatiotemporal data workshop focus research frameworks theories methodologies algorithms practice applications tools standards knowledge discovery datasets containing explicit implicit temporal spatial spatiotemporal information aim workshop bring together experts analysis temporal spatial data mining knowledge discovery temporal spatial spatiotemporal database systems well knowledge engineers domain experts allied disciplines topics workshop address topics spatiotemporal data mining including methods mining temporal spatial spatiotemporal data representation issues temporal spatial spatiotemporal data fuzzy logic management uncertainty context spatiotemporal data mining handling autocorrelation spatial temporal spatiotemporal data mining time series trend analysis discovery temporal patterns visualization support spatiotemporal data mining methods synergy visual computational approaches empirical studies performance scalability issues database architectures spatiotemporal data mining timeaware queries parallel distributed sequence mining integration data mining gis mining spatiotemporal patterns unstructured documents applications various domains including finance commerce telecommunications environment earth observation monitoring urban planning webroad traffic bioinformatics protein folding genomics etc workshop structure attendance workshop aims highly communicative meeting place researchers working similar topics coming different communities order achieve goals workshop consist two invited talks followed short presentations longer discussions panel session organized closing event workshop workshop participants must also register main ecmlpkdd conference workshop attendance limited registered participants submission procedure authors invited submit original research contributions experience reports english encourage submission works presenting early stages cuttingedge research development submitted papers must unpublished substantially different papers review maximum length papers 12 pages papers sent electronically postscript pdf later july 25th 2005 vpkadiunibait subject submission mstd papers selected basis review full paper contributions authors make certain data mining techniques describe deal special issues associated spatiotemporal data notification acceptance given august 15th 2005 final cameraready copies accepted papers due september 5th 2005 ecmlpkdd organizers intend prepare cd containing workshop proceedings hence electronic submissions workshop essential could carried webpublication proceedings also expected conference addition ecmlpkdd workshop proceedings intended publish selection accepted papers special issue journal intelligent information systems style guide joint paper style proceedings ecmlpkdd workshops therefore papers formatted according springerverlag lecture notes artificial intelligence guidelines authors instructions style files downloaded httpwwwspringerdecomplncsauthorshtml workshop chairs dr gennady andrienko fraunhofer institut autonome intelligente systeme fhg ais schloss birlinghoven sanktaugustin d53754 germany xlvcvyuwglfohujqaisfraunhoferde tel 49 2241 142486 fax 49 2241 142072 prof donato malerba dipartimento di informatica university bari via orabona 4 bari i70125 italy maycztndiunibait telfax 39 080 5443269 dr michael may fraunhofer institut autonome intelligente systeme fhg ais schloss birlinghoven sanktaugustin d53754 germany ksjnrlawmwaisfraunhoferde tel 492241142486 fax 492241142072 dr maguelonne teisseire université montpellier 2 lirmm cnrs 161 rue ada 34392 montpellier cedex 5 france evtohvfillirmmfr tel 33 0467 418 653 fax 33 0467 418 500 program committee natalia andrienko fraunhofer institute ais germany mark gahegan penn state university usa fosca gianotti pisa kddlab italy mennojan kraak itc netherlands antonietta lanza university bari italy anne laurent université montpellier 2 lirmm cnrs france alan maceachren penn state university usa florent masseglia inria sophia antipolis france jian pei university buffalo state university new york usa ben shneiderman hicl university maryland usa antony unwin augsburg university germany monica wachowicz waheningen university netherlands workshop homepage httpwwwdiunibaitmalerbaactivitiesmstd wed 06 aug 2008 144019 0200 uai mlnet cfp ecmlpkdd workshop mining spatiotemporal data