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Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation.

, , , and . BigData Congress, page 33-40. IEEE Computer Society, (2018)

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All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection., , and . IEEE BigData, page 3722-3726. IEEE Computer Society, (2017)Text miner's little helper: scalable self-tuning methodologies for knowledge exploration.. Polytechnic University of Turin, Italy, (2019)Characterizing Air-Quality Data Through Unsupervised Analytics Methods., , , and . ADBIS (Short Papers and Workshops), volume 909 of Communications in Computer and Information Science, page 205-217. Springer, (2018)Data miners' little helper: data transformation activity cues for cluster analysis on document collections., , , and . WIMS, page 27:1-27:6. ACM, (2017)Self-tuning techniques for large scale cluster analysis on textual data collections., , and . SAC, page 771-776. ACM, (2017)Exploring energy performance certificates through visualization., , , , , , , , , and . EDBT/ICDT Workshops, volume 2322 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Towards Automated Visualisation of Scientific Literature., , , and . ADBIS (Short Papers and Workshops), volume 1064 of Communications in Computer and Information Science, page 28-36. Springer, (2019)Prompting the data transformation activities for cluster analysis on collections of documents., , , and . SEBD, volume 2037 of CEUR Workshop Proceedings, page 226. CEUR-WS.org, (2017)Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation., , , and . BigData Congress, page 33-40. IEEE Computer Society, (2018)Exploring Energy Certificates of Buildings through Unsupervised Data Mining Techniques., , , and . iThings/GreenCom/CPSCom/SmartData, page 991-998. IEEE Computer Society, (2017)