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Mining tree-based association rules from XML documents.

, , и . SEBD, стр. 109-116. Edizioni Seneca, (2009)

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Exploratory computing: a comprehensive approach to data sensemaking., , , , и . Int. J. Data Sci. Anal., 3 (1): 61-77 (2017)Mining tree-based association rules from XML documents., , и . SEBD, стр. 109-116. Edizioni Seneca, (2009)Semi-automatic support for evolving functional dependencies., , , и . EDBT, стр. 293-304. OpenProceedings.org, (2016)Mercurio: predicting financial events from expert knowledge and financial news?, , , , и . SEBD, стр. 174-181. Matematicamente.it, (2016)Tracking the Evolution of Financial Time Series Clusters., , , и . DSMM@SIGMOD, стр. 4:1-4:5. ACM, (2019)Forecasting Out-of-the-Ordinary Financial Events., , , , , , , и . FINREC, том 1606 из CEUR Workshop Proceedings, стр. 11-15. CEUR-WS.org, (2016)Retrieving Sensors Data in Smart Buildings Through Services: A Similarity Algorithm., , , и . ICSOC Workshops, том 8954 из Lecture Notes in Computer Science, стр. 281-291. Springer, (2014)Process Conformance Checking by Relaxing Data Dependencies., , , , и . SEBD, том 2037 из CEUR Workshop Proceedings, стр. 90. CEUR-WS.org, (2017)An Extension of Datalog for Graph Queries., , и . SEBD, стр. 177-184. Edizioni Libreria Progetto, Padova, Italy, (2012)Efficient Exploration of Interesting Aggregates in RDF Graphs., , , и . SIGMOD Conference, стр. 392-404. ACM, (2021)