LEADER 01098nam0-2200325---450- 001 990009557390403321 005 20140529083312.0 010 $a978-88-7667-374-0 035 $a000955739 035 $aFED01000955739 035 $a(Aleph)000955739FED01 035 $a000955739 100 $a20120417d2009----km-y0itay50------ba 101 0 $aita$bmul 102 $aIT 105 $aab------101yy 200 1 $aOriente e Occidente nel Rinascimento$eatti del XIX convegno internazionale (Chianciano Terme-Pienza, 16 - 19 luglio 2007)$fa cura di Luisa Secchi Tarugi 210 $aFirenze$cFranco Cesati$d[2009] 215 $a929 p.$cill.$d23 cm 225 1 $aQuaderni della Rassegna$v58 610 0 $aCiviltà occidentale e civiltà orientale$aSec. 15.-16.$aCongressi$a2007 676 $a909.4$v22$zita 702 1$aSecchi Tarugi,$bLuisa$f<1943- > 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009557390403321 952 $a909.4 CONV CHIANCIANO 2007$bFil.mod. 18317$fFLFBC 959 $aFLFBC 996 $aOriente e Occidente nel Rinascimento$9853768 997 $aUNINA LEADER 01493nam0-2200457---450- 001 990000086530203316 005 20090618122947.0 035 $a0008653 035 $aUSA010008653 035 $a(ALEPH)000008653USA01 035 $a0008653 100 $a20000914d1995----|||y0itay0103----ba 101 0 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aInfortunistica stradale$ecalcoli di cinematica$eguida pratica alla risoluzione delle problematiche di ordine scientifico nel campo dell'infortunistica stradale$fUbaldo Sterlicchio 210 $aRimini$cEGAF didattica$d1995 215 $a185 p.$d24 cm 610 $aIncidenti stradali Accertamenti Guide pratiche 676 $a363.12565 700 1$aSTERLICCHIO,$bUbaldo$0745618 801 $aIT$bSALBC$gISBD 912 $a990000086530203316 951 $a363.125 STE 1 (IG XVI 296)$b26021 G.$cIG XVI$d00004575 959 $aBK 979 $c20000914$lUSA01$h1740 979 $c20001019$lUSA01$h1056 979 $c20001019$lUSA01$h1454 979 $c20001019$lUSA01$h1501 979 $c20001019$lUSA01$h1539 979 $c20001024$lUSA01$h1515 979 $c20001027$lUSA01$h1519 979 $c20001027$lUSA01$h1523 979 $c20001110$lUSA01$h1710 979 $c20001124$lUSA01$h1208 979 $c20020403$lUSA01$h1616 979 $aPATRY$b90$c20040406$lUSA01$h1607 979 $aRSIAV2$b90$c20090618$lUSA01$h1229 996 $aInfortunistica stradale$91487292 997 $aUNISA bas $agiu LEADER 05895nam 22008415 450 001 9910484841903321 005 20251226195610.0 010 $a1-280-38861-7 010 $a9786613566539 010 $a3-642-15420-4 024 7 $a10.1007/978-3-642-15420-1 035 $a(CKB)2670000000036407 035 $a(SSID)ssj0000446277 035 $a(PQKBManifestationID)11282001 035 $a(PQKBTitleCode)TC0000446277 035 $a(PQKBWorkID)10491389 035 $a(PQKB)10765701 035 $a(DE-He213)978-3-642-15420-1 035 $a(MiAaPQ)EBC3065730 035 $a(PPN)149018371 035 $a(BIP)32107246 035 $a(EXLCZ)992670000000036407 100 $a20100827d2010 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAgents and Data Mining Interaction $e6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers /$fedited by Longbing Cao, Ana L.C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, Gerhard Weiss, Philip S. Yu 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (X, 192 p. 63 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v5980 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-15419-0 320 $aIncludes bibliographical references and index. 327 $aAgents for Data Mining -- Finding Useful Items and Links in Social and Agent Networks -- Integrating Workflow into Agent-Based Distributed Data Mining Systems -- Pilot Study: Agent-Based Exploration of Complex Data in a Hospital Environment -- Multi-agent Information Retrieval in Heterogeneous Industrial Automation Environments -- Data Mining for Agents -- A Data Mining Approach to Identify Obligation Norms in Agent Societies -- Probabilistic Modeling of Mobile Agents? Trajectories -- Real-Time Sensory Pattern Mining for Autonomous Agents -- Data Mining in Agents -- Analyzing Agent-Based Simulations of Inter-organizational Networks -- Clustering in a Multi-Agent Data Mining Environment -- Time-Based Reward Shaping in Real-Time Strategy Games -- Wise Search Engine Based on LSI -- Pattern Recognition in Online Environment by Data Mining Approach -- Agent Mining Applications -- A Multiple System Performance Monitoring Model for Web Services -- Implementing an Open Reference Architecture Based on Web Service Mining for the Integration of Distributed Applications and Multi-Agent Systems -- Minority Game Data Mining for Stock Market Predictions. 330 $aCurrently a plethora of heterogeneous, standalone or web-enabled applications exist providing various functionalities that could be exploited in innumerable contexts for the developmentof personalized agent-basedsolutions for the end user. The integration of these applications in a standard and seamless way to enable content-rich services for the end-user is not generally feasible. The main reason for this is that these app- cations are by nature heterogeneous, developed for different development plat-forms, using different software developmenttechnologies. In this paper we present a reference architecture and support tools designed to address the problem of seamless integration ofheterogeneoussoftwareapplicationsthroughdata mining(DM) onweb service(WS) data ("web service mining") in order to enhance personalization, pervasiveness and - ?ciency on behalf of agent-based end-user applications. 1 Work presented in this paper is part of a European funded project called OASIS , whose main objective is the implementation of an ontology-driven, open reference - chitecture, which will enable and facilitate interoperability, seamless connectivity and sharing of content between different services and ontologiesin application domains for the elderly and beyond. OASIS promotes new ways to integrate all supported appli- tions into a common environment that enables access to information and content from the existing applications through WS-based software interfaces and content delivery to end-user in a pervasive manner through multi-agent applications. The achievement of this objectiveforms the main motivationof our work that results in a WS mining fra- work for the delivery of personalizedservices to the elderly users througha multi-agent system (MAS). 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v5980 606 $aArtificial intelligence 606 $aData mining 606 $aApplication software 606 $aInformation storage and retrieval systems 606 $aDatabase management 606 $aComputer networks 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aComputer and Information Systems Applications 606 $aInformation Storage and Retrieval 606 $aDatabase Management 606 $aComputer Communication Networks 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aApplication software. 615 0$aInformation storage and retrieval systems. 615 0$aDatabase management. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer and Information Systems Applications. 615 24$aInformation Storage and Retrieval. 615 24$aDatabase Management. 615 24$aComputer Communication Networks. 676 $a006.3 701 $aCao$b Longbing$f1969-$01759155 712 12$aADMI 2010 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484841903321 996 $aAgents and data mining interaction$94197524 997 $aUNINA