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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)Probabilistic Entity Linkage for Heterogeneous Information Spaces, , and . CAiSE, page 556-570. (2008)Analytics over Probabilistic Unmerged Duplicates, and . Springer, ()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)Probabilistic Entity Resolution.. Encyclopedia of Database Systems (2nd ed.), Springer, (2018)A Matching Framework for Entity-Based Aggregation, , and . Proc. of 9th Hellenic Data Management Symposium (HDMS), June 2010, Ayia Napa, Cyprus., (2010)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)Searching Web 2.0 Data Through Entity-Based Aggregation., and . Trans. Comput. Collect. Intell., (2016)Configure, Generate, Run - Model-based Development for Big Data Processing., , , , , , , , , and 3 other author(s). EPS, SciTePress, (2016)