LEADER 04617nam 22007815 450 001 996464445803316 005 20230810173601.0 010 $a3-030-83014-4 024 7 $a10.1007/978-3-030-83014-4 035 $a(CKB)4100000011984390 035 $a(MiAaPQ)EBC6682862 035 $a(Au-PeEL)EBL6682862 035 $a(OCoLC)1262308764 035 $a(DE-He213)978-3-030-83014-4 035 $a(BIP)080793669 035 $a(PPN)25806076X 035 $a(EXLCZ)994100000011984390 100 $a20210722d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Management Technologies and Applications$b[electronic resource] $e9th International Conference, DATA 2020, Virtual Event, July 7?9, 2020, Revised Selected Papers /$fedited by Slimane Hammoudi, Christoph Quix, Jorge Bernardino 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (330 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1446 311 $a3-030-83013-6 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis book constitutes the thoroughly refereed proceedings of the 9th International Conference on Data Management Technologies and Applications, DATA 2020, which was supposed to take place in Paris, France, in July 2020. Due to the Covid-19 pandemic the event was held virtually. The 14 revised full papers were carefully reviewed and selected from 70 submissions. The papers deal with the following topics: datamining; decision support systems; data analytics; data and information quality; digital rights management; big data; knowledge management; ontology engineering; digital libraries; mobile databases; object-oriented database systems; data integrity. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1446 606 $aDatabase management 606 $aApplication software 606 $aEducation$xData processing 606 $aSocial sciences$xData processing 606 $aComputers, Special purpose 606 $aMicroprogramming 606 $aDatabase Management 606 $aComputer and Information Systems Applications 606 $aComputers and Education 606 $aComputer Application in Social and Behavioral Sciences 606 $aSpecial Purpose and Application-Based Systems 606 $aControl Structures and Microprogramming 615 0$aDatabase management. 615 0$aApplication software. 615 0$aEducation$xData processing. 615 0$aSocial sciences$xData processing. 615 0$aComputers, Special purpose. 615 0$aMicroprogramming. 615 14$aDatabase Management. 615 24$aComputer and Information Systems Applications. 615 24$aComputers and Education. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aControl Structures and Microprogramming. 676 $a005.74 702 $aHammoudi$b Slimane 702 $aQuix$b Christoph 702 $aBernardino$b Jorge 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464445803316 996 $aData Management Technologies and Applications$91965945 997 $aUNISA