Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289764995> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4289764995 abstract "Pattern extraction algorithms are enabling insights into the ever-growing amount of today's datasets by translating reoccurring data properties into compact representations. Yet, a practical problem arises: With increasing data volumes and complexity also the number of patterns increases, leaving the analyst with a vast result space. Current algorithmic and especially visualization approaches often fail to answer central overview questions essential for a comprehensive understanding of pattern distributions and support, their quality, and relevance to the analysis task. To address these challenges, we contribute a visual analytics pipeline targeted on the pattern-driven exploration of result spaces in a semi-automatic fashion. Specifically, we combine image feature analysis and unsupervised learning to partition the pattern space into interpretable, coherent chunks, which should be given priority in a subsequent in-depth analysis. In our analysis scenarios, no ground-truth is given. Thus, we employ and evaluate novel quality metrics derived from the distance distributions of our image feature vectors and the derived cluster model to guide the feature selection process. We visualize our results interactively, allowing the user to drill down from overview to detail into the pattern space and demonstrate our techniques in a case study on biomedical genomic data." @default.
- W4289764995 created "2022-08-04" @default.
- W4289764995 creator A5007955515 @default.
- W4289764995 creator A5016219620 @default.
- W4289764995 creator A5038027438 @default.
- W4289764995 creator A5040794392 @default.
- W4289764995 creator A5043151044 @default.
- W4289764995 creator A5066335313 @default.
- W4289764995 date "2018-07-03" @default.
- W4289764995 modified "2023-09-27" @default.
- W4289764995 title "Visual Pattern-Driven Exploration of Big Data" @default.
- W4289764995 doi "https://doi.org/10.48550/arxiv.1807.01364" @default.
- W4289764995 hasPublicationYear "2018" @default.
- W4289764995 type Work @default.
- W4289764995 citedByCount "0" @default.
- W4289764995 crossrefType "posted-content" @default.
- W4289764995 hasAuthorship W4289764995A5007955515 @default.
- W4289764995 hasAuthorship W4289764995A5016219620 @default.
- W4289764995 hasAuthorship W4289764995A5038027438 @default.
- W4289764995 hasAuthorship W4289764995A5040794392 @default.
- W4289764995 hasAuthorship W4289764995A5043151044 @default.
- W4289764995 hasAuthorship W4289764995A5066335313 @default.
- W4289764995 hasBestOaLocation W42897649951 @default.
- W4289764995 hasConcept C111919701 @default.
- W4289764995 hasConcept C114614502 @default.
- W4289764995 hasConcept C119857082 @default.
- W4289764995 hasConcept C124101348 @default.
- W4289764995 hasConcept C138885662 @default.
- W4289764995 hasConcept C153180895 @default.
- W4289764995 hasConcept C154945302 @default.
- W4289764995 hasConcept C158154518 @default.
- W4289764995 hasConcept C17744445 @default.
- W4289764995 hasConcept C199360897 @default.
- W4289764995 hasConcept C199539241 @default.
- W4289764995 hasConcept C2522767166 @default.
- W4289764995 hasConcept C2776401178 @default.
- W4289764995 hasConcept C33923547 @default.
- W4289764995 hasConcept C36464697 @default.
- W4289764995 hasConcept C41008148 @default.
- W4289764995 hasConcept C41895202 @default.
- W4289764995 hasConcept C42812 @default.
- W4289764995 hasConcept C43521106 @default.
- W4289764995 hasConcept C59732488 @default.
- W4289764995 hasConcept C75684735 @default.
- W4289764995 hasConcept C79158427 @default.
- W4289764995 hasConcept C98045186 @default.
- W4289764995 hasConceptScore W4289764995C111919701 @default.
- W4289764995 hasConceptScore W4289764995C114614502 @default.
- W4289764995 hasConceptScore W4289764995C119857082 @default.
- W4289764995 hasConceptScore W4289764995C124101348 @default.
- W4289764995 hasConceptScore W4289764995C138885662 @default.
- W4289764995 hasConceptScore W4289764995C153180895 @default.
- W4289764995 hasConceptScore W4289764995C154945302 @default.
- W4289764995 hasConceptScore W4289764995C158154518 @default.
- W4289764995 hasConceptScore W4289764995C17744445 @default.
- W4289764995 hasConceptScore W4289764995C199360897 @default.
- W4289764995 hasConceptScore W4289764995C199539241 @default.
- W4289764995 hasConceptScore W4289764995C2522767166 @default.
- W4289764995 hasConceptScore W4289764995C2776401178 @default.
- W4289764995 hasConceptScore W4289764995C33923547 @default.
- W4289764995 hasConceptScore W4289764995C36464697 @default.
- W4289764995 hasConceptScore W4289764995C41008148 @default.
- W4289764995 hasConceptScore W4289764995C41895202 @default.
- W4289764995 hasConceptScore W4289764995C42812 @default.
- W4289764995 hasConceptScore W4289764995C43521106 @default.
- W4289764995 hasConceptScore W4289764995C59732488 @default.
- W4289764995 hasConceptScore W4289764995C75684735 @default.
- W4289764995 hasConceptScore W4289764995C79158427 @default.
- W4289764995 hasConceptScore W4289764995C98045186 @default.
- W4289764995 hasLocation W42897649951 @default.
- W4289764995 hasLocation W42897649952 @default.
- W4289764995 hasOpenAccess W4289764995 @default.
- W4289764995 hasPrimaryLocation W42897649951 @default.
- W4289764995 hasRelatedWork W1545333017 @default.
- W4289764995 hasRelatedWork W2143306733 @default.
- W4289764995 hasRelatedWork W2467861610 @default.
- W4289764995 hasRelatedWork W2610221865 @default.
- W4289764995 hasRelatedWork W2756236731 @default.
- W4289764995 hasRelatedWork W2765854211 @default.
- W4289764995 hasRelatedWork W3022194174 @default.
- W4289764995 hasRelatedWork W3167387566 @default.
- W4289764995 hasRelatedWork W4234269430 @default.
- W4289764995 hasRelatedWork W2307545701 @default.
- W4289764995 isParatext "false" @default.
- W4289764995 isRetracted "false" @default.
- W4289764995 workType "article" @default.