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Data miners' little helper: data transformation activity cues for cluster analysis on document collections.

, , , and . WIMS, page 27:1-27:6. ACM, (2017)

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Compactly Storing Frequent Itemsets (Extended Abstract)., , , and . SEBD, page 118-125. Esculapio Editore, (2010)NetCluster: A clustering-based framework to analyze internet passive measurements data., , , , and . Comput. Networks, 57 (17): 3300-3315 (2013)Data-Driven Estimation of Heavy-Truck Residual Value at the Buy-Back., , , , , and . IEEE Access, (2020)SaFe-NeC: A scalable and flexible system for network data characterization., , , , and . NOMS, page 812-816. IEEE, (2016)Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation., , , and . BigData Congress, page 33-40. IEEE Computer Society, (2018)Constrained itemset mining on a sequence of incoming data blocks., , and . Int. J. Intell. Syst., 25 (5): 389-410 (2010)MGI-Cloud: discovery of misleading generalized itemsets., , , , , , and . SEBD, page 45-52. (2014)Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features., , , and . CoRR, (2021)Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools., , , , , , and . Proc. IEEE, 109 (4): 399-422 (2021)Estimating the job's pending time on a High-Performance Computing cluster through a hierarchical data-driven methodology., , , and . DOLAP, volume 2840 of CEUR Workshop Proceedings, page 21-30. CEUR-WS.org, (2021)