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Data Management Technologies and Applications : 9th International Conference, DATA 2020, Virtual Event, July 7-9, 2020, Revised Selected Papers - Christoph Quix

Data Management Technologies and Applications

9th International Conference, DATA 2020, Virtual Event, July 7-9, 2020, Revised Selected Papers

By: Christoph Quix (Editor), Slimane Hammoudi (Editor), Jorge Bernardino (Editor)

Paperback | 23 July 2021

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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.

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