Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/981
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dc.contributor.authorKalinichenko, Leonid. ;en_US
dc.contributor.authorManolopoulos, Yannis. ;en_US
dc.contributor.authorMalkov, Oleg. ;en_US
dc.contributor.authorSkvortsov, Nikolay. ;en_US
dc.contributor.authorStupnikov, Sergey. ;en_US
dc.contributor.authorSukhomlin, Vladimir. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:24:07Z-
dc.date.available2020-05-17T08:24:07Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319965536 ;en_US
dc.identifier.isbn9783319965529 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/981-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319965529. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017. The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: data analytics; next generation genomic sequencing: challenges and solutions; novel approaches to analyzing and classifying of various astronomical entities and events; ontology population in data intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation. ;en_US
dc.description.statementofresponsibilityedited by Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin.en_US
dc.description.tableofcontentsData Analytics -- Next Generation Genomic Sequencing: Challenges and Solutions -- Novel Approaches to Analyzing and Classifying of Various Astronomical Entities and Events -- Ontology Population in Data Intensive Domains -- Heterogeneous Data Integration Issues -- Data Curation and Data Provenance Support -- Temporal Summaries Generation. ;en_US
dc.format.extentXV, 281 p. 82 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesCommunications in Computer and Information Science, ; 1865-0929 ; ; 822. ;en_US
dc.relation.ispartofseriesCommunications in Computer and Information Science, ; 1865-0929 ; ; 822. ;en_US
dc.relation.haspart9783319965529.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectData Miningen_US
dc.subjectComputer Scienceen_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subject.ddc006.312 ; 23 ;en_US
dc.subject.lccQA76.9.D343 ;en_US
dc.titleData Analytics and Management in Data Intensive Domainsen_US
dc.title.alternativeXIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10ee13, 2017, Revised Selected Papers /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorKalinichenko, Leonid. ;en_US
dc.contributor.authorManolopoulos, Yannis. ;en_US
dc.contributor.authorMalkov, Oleg. ;en_US
dc.contributor.authorSkvortsov, Nikolay. ;en_US
dc.contributor.authorStupnikov, Sergey. ;en_US
dc.contributor.authorSukhomlin, Vladimir. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:24:07Z-
dc.date.available2020-05-17T08:24:07Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319965536 ;en_US
dc.identifier.isbn9783319965529 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/981-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319965529. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017. The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: data analytics; next generation genomic sequencing: challenges and solutions; novel approaches to analyzing and classifying of various astronomical entities and events; ontology population in data intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation. ;en_US
dc.description.statementofresponsibilityedited by Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin.en_US
dc.description.tableofcontentsData Analytics -- Next Generation Genomic Sequencing: Challenges and Solutions -- Novel Approaches to Analyzing and Classifying of Various Astronomical Entities and Events -- Ontology Population in Data Intensive Domains -- Heterogeneous Data Integration Issues -- Data Curation and Data Provenance Support -- Temporal Summaries Generation. ;en_US
dc.format.extentXV, 281 p. 82 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesCommunications in Computer and Information Science, ; 1865-0929 ; ; 822. ;en_US
dc.relation.ispartofseriesCommunications in Computer and Information Science, ; 1865-0929 ; ; 822. ;en_US
dc.relation.haspart9783319965529.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectData Miningen_US
dc.subjectComputer Scienceen_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subject.ddc006.312 ; 23 ;en_US
dc.subject.lccQA76.9.D343 ;en_US
dc.titleData Analytics and Management in Data Intensive Domainsen_US
dc.title.alternativeXIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10ee13, 2017, Revised Selected Papers /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319965529.pdf36.51 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKalinichenko, Leonid. ;en_US
dc.contributor.authorManolopoulos, Yannis. ;en_US
dc.contributor.authorMalkov, Oleg. ;en_US
dc.contributor.authorSkvortsov, Nikolay. ;en_US
dc.contributor.authorStupnikov, Sergey. ;en_US
dc.contributor.authorSukhomlin, Vladimir. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:24:07Z-
dc.date.available2020-05-17T08:24:07Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319965536 ;en_US
dc.identifier.isbn9783319965529 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/981-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319965529. ;en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017. The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: data analytics; next generation genomic sequencing: challenges and solutions; novel approaches to analyzing and classifying of various astronomical entities and events; ontology population in data intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation. ;en_US
dc.description.statementofresponsibilityedited by Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin.en_US
dc.description.tableofcontentsData Analytics -- Next Generation Genomic Sequencing: Challenges and Solutions -- Novel Approaches to Analyzing and Classifying of Various Astronomical Entities and Events -- Ontology Population in Data Intensive Domains -- Heterogeneous Data Integration Issues -- Data Curation and Data Provenance Support -- Temporal Summaries Generation. ;en_US
dc.format.extentXV, 281 p. 82 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesCommunications in Computer and Information Science, ; 1865-0929 ; ; 822. ;en_US
dc.relation.ispartofseriesCommunications in Computer and Information Science, ; 1865-0929 ; ; 822. ;en_US
dc.relation.haspart9783319965529.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectData Miningen_US
dc.subjectComputer Scienceen_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subject.ddc006.312 ; 23 ;en_US
dc.subject.lccQA76.9.D343 ;en_US
dc.titleData Analytics and Management in Data Intensive Domainsen_US
dc.title.alternativeXIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10ee13, 2017, Revised Selected Papers /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319965529.pdf36.51 MBAdobe PDFThumbnail
Preview File