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020 _a9783030830144
_9978-3-030-83014-4
024 7 _a10.1007/978-3-030-83014-4
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUN
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082 0 4 _a005.74
_223
245 1 0 _aData Management Technologies and Applications
_h[electronic resource] :
_b9th International Conference, DATA 2020, Virtual Event, July 7–9, 2020, Revised Selected Papers /
_cedited by Slimane Hammoudi, Christoph Quix, Jorge Bernardino.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXII, 319 p. 98 illus., 72 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 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1446
505 0 _aRemoving Operational Friction using Process Mining: Challenges Provided by the Internet of Production (IoP) -- Efficient Scheduling of Scientifc Workflow Actions in the Cloud based on Required Capabilities -- iTLM-Q: A Constraint-based Q-learning Approach for Intelligent Traffc Light Management -- Open Data in the Enterprise Context: Assessing Open Corporate Data's Readiness for Use -- A Data Science Approach to Explain a Complex Team Ball Game -- Intelligent Public Procurement Monitoring System Powered by Text Mining and Balanced Indicators -- Catalog Integration of Heterogeneous and Volatile Product Data -- Designing an Efficient Gradient Descent based Heuristic for Clusterwise Linear Regression for Large Datasets -- A Policy-agnostic Programming Language for the International Data Spaces -- Coreset-based Data Compression for Logistic Regression -- Product Classification using Partially Abbreviated Product Names, Brands and Dimensions -- An Environmental Study of French Neighbourhoods -- Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge.
520 _aThis book constitutes the thoroughly refereed proceedings of the 9th International Conference on Data Management Technologies and Applications, DATA 2020, which was supposed to take place in Paris, France, in July 2020. Due to the Covid-19 pandemic the event was held virtually. The 14 revised full papers were carefully reviewed and selected from 70 submissions. The papers deal with the following topics: datamining; decision support systems; data analytics; data and information quality; digital rights management; big data; knowledge management; ontology engineering; digital libraries; mobile databases; object-oriented database systems; data integrity.
650 0 _aDatabase management.
650 0 _aApplication software.
650 0 _aEducation
_xData processing.
650 0 _aSocial sciences
_xData processing.
650 0 _aComputers, Special purpose.
650 0 _aMicroprogramming .
650 1 4 _aDatabase Management.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aComputers and Education.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
650 2 4 _aSpecial Purpose and Application-Based Systems.
650 2 4 _aControl Structures and Microprogramming.
700 1 _aHammoudi, Slimane.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aQuix, Christoph.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBernardino, Jorge.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030830137
776 0 8 _iPrinted edition:
_z9783030830151
830 0 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1446
856 4 0 _uhttps://doi.org/10.1007/978-3-030-83014-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178955
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