000 03864nam a22005775i 4500
001 978-94-007-7293-9
003 DE-He213
005 20140220082944.0
007 cr nn 008mamaa
008 130805s2013 ne | s |||| 0|eng d
020 _a9789400772939
_9978-94-007-7293-9
024 7 _a10.1007/978-94-007-7293-9
_2doi
050 4 _aQA76.76.A65
072 7 _aJ
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aSOC000000
_2bisacsh
082 0 4 _a004
_223
100 1 _aUden, Lorna.
_eeditor.
245 1 4 _aThe 3rd International Workshop on Intelligent Data Analysis and Management
_h[electronic resource] /
_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 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aSocial sciences
_xData processing.
650 0 _aBioinformatics.
650 0 _aEngineering mathematics.
650 1 4 _aComputer Science.
650 2 4 _aComputer Appl. in Social and Behavioral Sciences.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputational Biology/Bioinformatics.
700 1 _aWang, Leon S.L.
_eeditor.
700 1 _aHong, Tzung-Pei.
_eeditor.
700 1 _aYang, Hsin-Chang.
_eeditor.
700 1 _aTing, I-Hsien.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400772922
830 0 _aSpringer Proceedings in Complexity,
_x2213-8684
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-7293-9
912 _aZDB-2-PHA
999 _c100008
_d100008