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Data management technologies and app...

(1998 :)

Data management technologies and applications9th International Conference, DATA 2020, virtual event, July 7-9, 2020 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data management technologies and applicationsedited by Slimane Hammoudi, Christoph Quix, Jorge Bernardino.
其他題名:	9th International Conference, DATA 2020, virtual event, July 7-9, 2020 : revised selected papers /
其他題名:	DATA 2020
其他作者:	Hammoudi, Slimane.
團體作者:
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xii, 319 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Database management
電子資源:	https://doi.org/10.1007/978-3-030-83014-4
ISBN:	9783030830144$q(electronic bk.)

Data management technologies and applications9th International Conference, DATA 2020, virtual event, July 7-9, 2020 : revised selected papers /
Data management technologies and applications9th International Conference, DATA 2020, virtual event, July 7-9, 2020 : revised selected papers /[electronic resource] :DATA 2020edited by Slimane Hammoudi, Christoph Quix, Jorge Bernardino. - Cham :Springer International Publishing :2021. - xii, 319 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,14461865-0929 ;. - Communications in computer and information science ;229..

Removing 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.

This 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.

ISBN: 9783030830144$q(electronic bk.)

Standard No.: 10.1007/978-3-030-83014-4doiSubjects--Topical Terms:

253546
Database management

LC Class. No.: QA76.9.D3 / D38 2020

Dewey Class. No.: 005.74

Data management technologies and applications9th International Conference, DATA 2020, virtual event, July 7-9, 2020 : revised selected papers /
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520 $a This 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.
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