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Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1363231
Abstract: ABSTRACT Data analysts often explore a large database to identify the data of interest, but may not be able to specify the exact query to send to the database. A manual data exploration process is…
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Keywords:
interactive data;
analysis query;
query agnostic;
exploration ... See more keywords
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Published in 2019 at "GigaScience"
DOI: 10.1093/gigascience/giz078
Abstract: Abstract Biclustering is a technique of discovering local similarities within data. For many years the complexity of the methods and parallelization issues limited its application to big data problems. With the development of novel scalable…
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Keywords:
big data;
biclustering future;
future big;
data exploration ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3404876
Abstract: The process of visual analytics is composed of the visual data exploration tasks supporting analytical reasoning. When performing analytical tasks with the interactive visual interfaces displayed by the large screen, physical discomforts such as gorilla-arm…
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Keywords:
data exploration;
user defined;
defined interactions;
large display ... See more keywords
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Published in 2024 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2024.3361989
Abstract: In the interactive data exploration, approximate query processing (AQP) can be used to quickly return query results at the cost of accuracy. For online AQP, the sampler can be treated as an operator in the…
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Keywords:
data exploration;
query processing;
push;
accuracy ... See more keywords
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Published in 2020 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2019.2934668
Abstract: Dataflow visualization systems enable flexible visual data exploration by allowing the user to construct a dataflow diagram that composes query and visualization modules to specify system functionality. However learning dataflow diagram usage presents overhead that…
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Keywords:
system;
visual data;
natural language;
data exploration ... See more keywords
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Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3175532
Abstract: A fundamental problem in visual data exploration concerns whether observed patterns are true or merely random noise. This problem is especially pertinent in visual analytics, where the user is presented with a barrage of patterns,…
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Keywords:
problem;
view;
multiple comparisons;
statistical testing ... See more keywords
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Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3209463
Abstract: Projection and ranking are frequently used analysis techniques in multi-attribute data exploration. Both families of techniques help analysts with tasks such as identifying similarities between observations and determining ordered subgroups, and have shown good performances…
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Keywords:
projection ranking;
projection;
multi attribute;
exploration ... See more keywords
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Published in 2025 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2025.3635528
Abstract: Despite the growing availability of 3D urban datasets, extracting insights remains challenging due to computational bottlenecks and the complexity of interacting with data. In fact, the intricate geometry of 3D urban environments results in high…
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Keywords:
field;
data exploration;
exploration;
based approach ... See more keywords
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Published in 2024 at "Computer Graphics Forum"
DOI: 10.1111/cgf.15108
Abstract: The increasing integration of artificial intelligence (AI) in visual analytics (VA) tools raises vital questions about the behavior of users, their trust, and the potential of induced biases when provided with guidance during data exploration.…
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Keywords:
task;
data exploration;
exploration;
visual analytics ... See more keywords
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Published in 2019 at "mSystems"
DOI: 10.1128/msystems.00269-18
Abstract: Calour allows us to identify interesting microbial patterns and generate novel biological hypotheses by interactively inspecting microbiome studies and incorporating annotation databases and convenient statistical tools. Calour can be used as a first-step tool for…
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Keywords:
microbial patterns;
tool microbiome;
data exploration;
tool ... See more keywords
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Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-2068
Abstract: The goal of the described work was to create a self-service tool for data exploration and cohort creation, facilitating feasibility assessments for research studies and providing insights into the primary clinical and demographic characteristics of…
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Keywords:
oncology;
tool;
mcap;
self service ... See more keywords