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Configure, Generate, Run: Model-based Development for Big Data Processing

, , , , , , , , , and 3 other author(s). European Project Space on Intelligent Technologies, Software engineering, Computer Vision, Graphics, Optics and Photonics, SCITEPRESS, (2016)

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Probabilistic Entity Linkage for Heterogeneous Information Spaces, , and . CAiSE, page 556-570. (2008)Configure, Generate, Run: Model-based Development for Big Data Processing, , , , , , , , , and 3 other author(s). European Project Space on Intelligent Technologies, Software engineering, Computer Vision, Graphics, Optics and Photonics, SCITEPRESS, (2016)Unveiling Dis-Integration., , and . ICDE, page 5664. IEEE, (2024)A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces., , , , and . IEEE Trans. Knowl. Data Eng., 25 (12): 2665-2682 (2013)Detecting Contexts on the Desktop Using Bayesian Networks, , , , and . Deskt. Search Work. SIGIR2010, (2010)Analytics over Probabilistic Unmerged Duplicates, and . Springer, ()Configure, Generate, Run - Model-based Development for Big Data Processing., , , , , , , , , and 3 other author(s). EPS, SciTePress, (2016)Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data, , , , and . Proceedings of the fifth ACM international conference on Web search and data mining, page 53--62. New York, NY, USA, ACM, (2012)A Matching Framework for Entity-Based Aggregation, , and . Proc. of 9th Hellenic Data Management Symposium (HDMS), June 2010, Ayia Napa, Cyprus., (2010)The Five Generations of Entity Resolution on Web Data., , and . ICWE, volume 14629 of Lecture Notes in Computer Science, page 469-473. Springer, (2024)