MARC Record from harvard_bibliographic_metadata

LEADER: 03677nam a22005535a 4500
001 013770200-0
005 20131004190855.0
008 130805s2013 ne | s ||0| 0|eng d
020 $a9789400772939
020 $a9789400772939
020 $a9789400772922
024 7 $a10.1007/978-94-007-7293-9$2doi
035 $a(Springer)9789400772939
040 $aSpringer
050 4 $aQA76.76.A65
072 7 $aJ$2bicssc
072 7 $aUB$2bicssc
072 7 $aCOM018000$2bisacsh
072 7 $aSOC000000$2bisacsh
082 04 $a004$223
100 1 $aUden, Lorna,$eeditor.
245 14 $aThe 3rd International Workshop on Intelligent Data Analysis and Management /$cedited by Lorna Uden, Leon S.L. Wang, Tzung-Pei Hong, Hsin-Chang Yang, I-Hsien Ting.
264 1 $aDordrecht :$bSpringer Netherlands :$bImprint: Springer,$c2013.
300 $aX, 132 p. 49 illus., 37 illus. in color.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aSpringer Proceedings in Complexity,$x2213-8684
505 0 $aAn Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies -- Memory-Aware Mining of Indirect Associations over Data Streams -- Graph-based batch mode active learning -- One Pass Outlier Detection for Streaming Categorical Data -- Measuring of QoE for Cloud Applications -- Mining Weighted Partial Periodic Patterns -- Edge Selection for Degree Anonymization on K Shortest Paths -- K-Neighborhood Shortest Path Privacy in the Cloud -- The Framework of Information Processing Network for Supply Chain Innovation in Big Data Era -- Website Navigation Recommendation Based on Reinforcement Learning Technique -- An Approach for Hate Groups Detection in Facebook -- Toward Crowdsourcing Data Mining -- Wireless Security Analysis Using War Drive Investigation in Kaohsiung Areas -- Guanxi buying in the social media environment -- Introspection of unauthorized sharing on social networking sites.
520 $aThese papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.
650 24 $aArtificial Intelligence (incl. Robotics)
650 10 $aComputer science.
650 0 $aComputer science.
650 0 $aArtificial intelligence.
650 0 $aSocial sciences$xData processing.
650 0 $aBioinformatics.
650 0 $aEngineering mathematics.
650 24 $aComputer Appl. in Social and Behavioral Sciences.
650 24 $aAppl.Mathematics/Computational Methods of Engineering.
650 24 $aComputational Biology/Bioinformatics.
700 1 $aTing, I-Hsien,$eeditor.
700 1 $aYang, Hsin-Chang,$eeditor.
700 1 $aHong, Tzung-Pei,$eeditor.
700 1 $aWang, Leon S.L.,$eeditor.
776 08 $iPrinted edition:$z9789400772922
830 0 $aSpringer Proceedings in Complexity.
988 $a20130904
906 $0VEN