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Volume-based large dynamic graph analysis supported by evolution provenance

, , , , , , , and . Multimedia Tools and Applications, 78 (23): 32939-32965 (2019)
DOI: 10.1007/s11042-019-07878-6

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Towards Integrating Collaborative Filtering in Visual Data Exploration Systems, and . New Trends in Databases and Information Systems, (ADBIS) 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, page 153--160. (2019)Collaborative filtering over evolution provenance data for interactive visual data exploration, and . Information Systems, (2021)Structural summaries for visual provenance analysis., and . Proceedings of the International Workshop on Theory and Practice of Provenance (TaPP), USENIX Association, (2019)Simultaneous Visual Analysis of Multiple Software Hierarchies, , , , , and . 2018 IEEE Working Conference on Software Visualization (VISSOFT), page 87--95. IEEE, (2018)Volume-based large dynamic graph analysis supported by evolution provenance, , , , , , , and . Multimedia Tools and Applications, 78 (23): 32939-32965 (2019)A survey on provenance: What for? What form? What from?, , and . VLDB journal, 26 (6): 881-906 (2017)A Survey on Provenance: What for? What Form? What from?, , and . The VLDB Journal, 26 (6): 881--906 (December 2017)Provenance-based visual data exploration. Universität Stuttgart, Stuttgart, Dissertation, (2021)Schema Inference for Massive JSON Datasets, , , , and . Proceedings of the Conference on Extending Database Technology (EDBT), page 222-233. (2017)Provenance-based Recommendations for Visual Data Exploration, and . Proceedings of the USENIX Conference on Theory and Practice of Provenance (TAPP), page 1-7. (2017)