000 04452nam a22006015i 4500
001 978-3-642-16392-0
003 DE-He213
005 20160624102150.0
007 cr nn 008mamaa
008 101007s2010 gw | s |||| 0|eng d
020 _a9783642163920
_9978-3-642-16392-0
024 7 _a10.1007/978-3-642-16392-0
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aUbiquitous Knowledge Discovery
_h[electronic resource] :
_bChallenges, Techniques, Applications /
_cedited by Michael May, Lorenza Saitta.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aX, 255p. 51 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6202
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aComputer Communication Networks.
650 0 _aComputer software.
650 0 _aData mining.
650 0 _aInformation systems.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aInformation Systems Applications (incl.Internet).
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aComputer Communication Networks.
650 2 4 _aUser Interfaces and Human Computer Interaction.
700 1 _aMay, Michael.
_eeditor.
700 1 _aSaitta, Lorenza.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642163913
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6202
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-16392-0
942 _2EBK9369
_cEBK
999 _c38663
_d38663