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020 _a9783662481455
_9978-3-662-48145-5
024 7 _a10.1007/978-3-662-48145-5
_2doi
050 4 _aQ334-342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aTransactions on Computational Collective Intelligence XVIII
_h[electronic resource] /
_cedited by Ngoc Thanh Nguyen.
250 _a1st ed. 2015.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2015.
300 _aIX, 201 p. 50 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTransactions on Computational Collective Intelligence,
_x2190-9288 ;
_v9240
_aLecture Notes in Computer Science
_v9240
505 0 _aUsing Semantic Web for Generating Questions: Do Different Populations Perceive Questions Differently? -- Reflection of intelligent e-learning/tutoring - the flexible learning model in LMS Blackboard -- GLIO: A New Method for Grouping Like-Minded Users -- A Preferences based Approach for Better Comprehension of User Information Needs -- Performance Evaluation of the Customer Relationship Management Agent’s in a Cognitive Integrated Management Support System -- Agreements Technologies - Towards Sophisticated Software Agents in Multi-Agent Environments -- Identification of Underestimated and Overestimated Web Pages Using PageRank and Web Usage Mining Methods -- Massive Classification with Support Vector Machines -- On a Multi-Agent Distributed Asynchronous Intelligence-Sharing and Learning Framework.
520 _aThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This eighteenth issue contains 9 carefully selected and revised contributions.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 0 _aSoftware engineering.
650 0 _aComputers.
650 0 _aComputer simulation.
650 1 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 2 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aSoftware Engineering.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I14029
650 2 4 _aComputation by Abstract Devices.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I16013
650 2 4 _aSimulation and Modeling.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I19000
650 2 4 _aInformation Systems and Communication Service.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18008
700 1 _aNguyen, Ngoc Thanh.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662481448
776 0 8 _iPrinted edition:
_z9783662481462
830 0 _aTransactions on Computational Collective Intelligence,
_x2190-9288 ;
_v9240
830 0 _aLecture Notes in Computer Science ;
_v9240
856 4 0 _uhttps://doi.org/10.1007/978-3-662-48145-5
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
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