LEADER 04367nam 2200613 a 450 001 9910484441603321 005 20200520144314.0 010 $a1-280-38986-9 010 $a9786613567789 010 $a3-642-16392-0 024 7 $a10.1007/978-3-642-16392-0 035 $a(CKB)2550000000019891 035 $a(SSID)ssj0000446858 035 $a(PQKBManifestationID)11308431 035 $a(PQKBTitleCode)TC0000446858 035 $a(PQKBWorkID)10504579 035 $a(PQKB)11243773 035 $a(DE-He213)978-3-642-16392-0 035 $a(MiAaPQ)EBC3065953 035 $a(PPN)149029934 035 $a(EXLCZ)992550000000019891 100 $a20100908d2010 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aUbiquitous knowledge discovery $echallenges, techniques, applications /$fMichael May, Lorenza Saitta, (eds.) 205 $a1st ed. 2010. 210 $aBerlin ;$aHeidelberg $cSpringer$d2010 215 $a1 online resource (X, 255 p. 51 illus.) 225 1 $aLNCS sublibrary. SL 7, Artificial intelligence 225 1 $aLecture notes in computer science. Lecture notes in artificial intelligence,$x0302-9743 ;$v6202 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-16391-2 320 $aIncludes bibliographical references and index. 327 $aA Blueprint for Ubiquitous Knowledge Discovery -- Introduction: The Challenge of Ubiquitous Knowledge Discovery -- Ubiquitous Technologies -- Resource Aware Distributed Knowledge Discovery -- Ubiquitous Data -- Privacy and Security in Ubiquitous Knowledge Discovery -- A Human-Centric Perspective on Ubiquitous Knowledge Discovery -- Application Challenges for Ubiquitous Knowledge Discovery -- Case Studies -- On-Line Learning: Where Are We So Far? -- Change Detection with Kalman Filter and CUSUM -- A Geometric Approach to Monitoring Threshold Functions over Distributed Data Streams -- Privacy Preserving Spatio-temporal Clustering on Horizontally Partitioned Data -- Nemoz ? A Distributed Framework for Collaborative Media Organization -- Micro Information Systems and Ubiquitous Knowledge Discovery -- MineFleet : The Vehicle Data Stream Mining System for Ubiquitous Environments. 330 $aKnowledge discovery in ubiquitous environments is an emerging area of research at the intersection of the two major challenges of highly distributed and mobile systems and advanced knowledge discovery systems. It aims to provide a unifying framework for systematically investigating the mutual dependencies of otherwise quite unrelated technologies employed in building next-generation intelligent systems: machine learning, data mining, sensor networks, grids, peer-to-peer networks, data stream mining, activity recognition, Web 2.0, privacy, user modelling and others. This state-of-the-art survey is the outcome of a large number of workshops, summer schools, tutorials and dissemination events organized by KDubiq (Knowledge Discovery in Ubiquitous Environments), a networking project funded by the European Commission to bring together researchers and practitioners of this emerging community. It provides in its first part a conceptual foundation for the new field of ubiquitous knowledge discovery - highlighting challenges and problems, and proposing future directions in the area of 'smart', 'adaptive', and 'intelligent' learning. The second part of this volume contains selected approaches to ubiquitous knowledge discovery and treats specific aspects in detail. The contributions have been carefully selected to provide illustrations and in-depth discussions for some of the major findings of Part I. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence ;$vv. 6202. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence. 606 $aArtificial intelligence 606 $aArtificial intelligence$vCase studies 615 0$aArtificial intelligence. 615 0$aArtificial intelligence 676 $a006.3 701 $aMay$b Michael$01205900 701 $aSaitta$b Lorenza$01750226 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484441603321 996 $aUbiquitous knowledge discovery$94186128 997 $aUNINA