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Exploratory computing: a comprehensive approach to data sensemaking., , , , and . Int. J. Data Sci. Anal., 3 (1): 61-77 (2017)Mining tree-based association rules from XML documents., , and . SEBD, page 109-116. Edizioni Seneca, (2009)Semi-automatic support for evolving functional dependencies., , , and . EDBT, page 293-304. OpenProceedings.org, (2016)Exploratory computing: a draft Manifesto., , , , and . DSAA, page 577-580. IEEE, (2014)Efficient Exploration of Interesting Aggregates in RDF Graphs., , , and . SIGMOD Conference, page 392-404. ACM, (2021)Speeding up RDF Aggregate Discovery through Sampling., and . EDBT/ICDT Workshops, volume 2322 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)An Extension of Datalog for Graph Queries., , and . SEBD, page 177-184. Edizioni Libreria Progetto, Padova, Italy, (2012)Tracking the Evolution of Financial Time Series Clusters., , , and . DSMM@SIGMOD, page 4:1-4:5. ACM, (2019)Mercurio: predicting financial events from expert knowledge and financial news?, , , , and . SEBD, page 174-181. Matematicamente.it, (2016)Process Conformance Checking by Relaxing Data Dependencies., , , , and . SEBD, volume 2037 of CEUR Workshop Proceedings, page 90. CEUR-WS.org, (2017)