Visualizing, Exploring and Analyzing Big Data: A 6-Year Story
Abstract
Information Visualization has been one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, multidimensional, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can access and analyze that data is even more burdensome now for a great number of users with little or no support and expertise on the data processing part.
References
[1]
N. Bikakis, G. Giannopoulos, N. Sidiropoulos, C. Flouda, A. Doupas, V. Giouli, P. Karioris, P. Botini, A. Vacalopoulou, G. Stainhaouer: Exposing Geospatial Cultural Heritage Content in Map-based Applications. BigVis 2023
[2]
I. Mavroudopoulos, T. Toliopoulos, A. Gounaris, G. Kynigopoulos, A. Andreadis, I. Kalfas: HARVEST: a complete solution for smart agriculture monitoring. BigVis 2023
[3]
I. Fujishiro, N. Sawada, M. Uemura: Clustering, Universalities, and Evolutionary Schema Design. BigVis 2023
[4]
G. Katsogiannis-Meimarakis, C. Tsapelas, G. Koutrika: Natural Language Data Interfaces: From Keyword Search to ChatGPT, are we there yet? BigVis 2023
[5]
V. Stamatopoulos, S. Maroulis, K. Kozanis, I. Psarros, G. Papastefanatos, G. Giannopoulos, M. Terrovitis: A Tool for Visual Exploration and Analysis of Solar Photovoltaic Module Data. BigVis 2023
[6]
J. Abello, H. Zhang: Graph Peeling Semantics. BigVis 2023
[7]
B. Wang, N. Adachi, I. Fujishiro: FORSETI: A Provenance- aware Visual Analysis Environment for the Lifecycle Management of E-autopsy Reports. BigVis 2022
[8]
A. Garg, N. Tandon, A.S. Varde: CSK-SNIFFER: Commonsense Knowledge for Sniffing Object Detection Errors. BigVis 2022
[9]
M. Schoemans, A.A. Sakr, E. Zimányi: MOVE: Interactive Visual Exploration of Moving Objects. BigVis 2022
[10]
G. Papastefanatos, G. Alexiou, N. Bikakis, S. Maroulis, V. Stamatopoulos: VisualFacts: A Platform for In-Situ Visual Exploration and Real-Time Entity Resolution. BigVis 2022
[11]
Q. Bai, S. Alsudais, C. Li: Demo of VisBooster: Accelerating Tableau Live Mode Queries Up to 100 Times Faster. BigVis 2022
[12]
X. Zhang, J. Xu, M. Keskin, M. Colaresi, V. Zadorozhny: HR-VEAW: A Human Rights Violation Exploration Analytics, and Warning System. BigVis 2022
[13]
P. Mitropoulos, K. Patroumpas, D. Skoutas, T. Vakkas, S. Athanasiou: BigDataVoyant: Automated Profiling of Large Geospatial Data. BigVis 2021
[14]
T. Cross, R. Bovo, T. Heinis: Browsing Internet Content in Multiple Dimensions. BigVis 2021
[15]
F. Rollo, L. Po: SenseBoard: Sensor Monitoring for Air Quality Experts. BigVis 2021
[16]
L. Caruccio, S. Cirillo, V. Deufemia, G. Polese: Realtime visualization of profiling metadata upon data insertions. BigVis 2021
[17]
J. Abello, D. Nakhimovich, C. Han, M. Aanjaneya: Graph Cities: Their Buildings, Waves, and Fragments. BigVis 2021
[18]
I. Ivkovic-Kihic, D. Seebacher, M. Stein, T. Schreck, R. Preiner: Visual Analysis of Player Interactions in Soccer Games. BigVis 2021
[19]
G.L. Andrienko, N.V. Andrienko, S.M. Drucker, J-D. Fekete, D. Fisher, S. Idreos, T. Kraska, G. Li, K-L. Ma, J.D. Mackinlay, A. Oulasvirta, T. Schreck, H. Schumann, M. Stonebraker, D. Auber, N. Bikakis, P.K. Chrysanthis, G. Papastefanatos, M.A. Sharaf: Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications. BigVis 2020
[20]
J. Suschnigg, B. Mutlu, A.K. Fuchs, V. Sabol, S. Thalmann, T. Schreck: Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring. BigVis 2020
[21]
K. Li, H. Naacke, B. Amann: Exploring the Evolution of Science with Pivot Topic Graphs. BigVis 2020
[22]
B. Breve, L. Caruccio, S. Cirillo, V. Deufemia, G. Polese: Visualizing Dependencies during Incremental Discovery Processes. BigVis 2020
[23]
P. Quirós, B. Rosario C. Álvarez: The new Spanish political scenario: Twitter graph and opinion analysis with an interactive visualisation. BigVis 2020
[24]
J. Abello, D. Nakhimovich: Graph Waves. BigVis 2020
[25]
W. Cui, G. Strazdins, H. Wang: Web-based Scalable Visual Exploration of Large Multidimensional Data Using Human-in-the-Loop Edge Bundling in Parallel Coordinates. BigVis 2020
[26]
F. Desimoni, L. Po: Providing Effective Visualizations over Big Linked Data. BigVis 2020
[27]
P. Camarillo-Ramírez, F. Cervantes-Alvarez, L. F. Gutiérrez-Preciado: A task-based evaluation methodology for visual representation of dynamic networks. BigVis 2020
[28]
R. Borges, K. Stefanidis: On Measuring Popularity Bias in Collaborative Filtering Data. BigVis 2020
[29]
X. Zhang, X. Ge, P.K. Chrysanthis: A GUI Design for Composition Discovery of View Interestingness. BigVis 2020
[30]
X. Zhang, X. Ge, P.K. Chrysanthis, M.A. Sharaf: ViewSeeker: An Interactive View Recommendation Tool. BigVis 2019
[31]
T. Cerquitelli, E. Di Corso, S. Proto, A. Capozzoli, F. Bellotti, M.G. Cassese, E. Baralis, M. Mellia, S. Casagrande, M. Tamburini: Exploring energy performance certificates through visualization. BigVis 2019
[32]
J.S. Andersen: A User Centric Visual Analytics Framework for News Discussions. BigVis 2019
[33]
P. Bouros, I. Assent, J. Jeppesen, T.S. Toftegaard: Processing Satellite Imagery for Decision-Making in Precision Agriculture. BigVis 2019
[34]
A. Gogolou, T. Tsandilas, T. Palpanas, A. Bezerianos: Progressive Similarity Search on Time Series Data. BigVis 2019
[35]
I. Manolescu, M. Mazuran: Speeding up RDF Aggregate Discovery through Sampling. BigVis 2019
[36]
M. Meimaris: Visualizing Implicit RDF Schema with the Help of Embeddings. BigVis 2019
[37]
A. Watson, S. Bateman, S. Ray: PySnippet: Accelerating Exploratory Data Analysis in Jupyter Notebook through Facilitated Access to Example Code. BigVis 2019
[38]
C. Athinaiou, H. Kondylakis: VESEL: VisuaL Exploration of Schema Evolution using Provenance Queries. BigVis 2019
[39]
G. Richer, J. Sansen, F. Lalanne, D. Auber, Romain Bourqui: Enabling Hierarchical Exploration for Large- Scale Multidimensional Data with Abstract Parallel Coordinates. BigVis 2018
[40]
D. Bleco, Y. Kotidis: Finding the Needle in a Haystack: Entropy Guided Exploration of Very Large Graph Cubes. BigVis 2018
[41]
G. Chatzigeorgakidis, D. Skoutas, K. Patroumpas, S. Athanasiou, S. Skiadopoulos: Map-Based Visual Exploration of Geolocated Time Series. BigVis 2018
[42]
M-E Papadaki, P. Papadakos, M. Mountantonakis, Y. Tzitzikas: An Interactive 3D Visualization for the LOD Cloud. BigVis 2018
[43]
T. Repke, R. Krestel: Topic-aware Network Visualisation to Explore Large Email Corpora. BigVis 2018
[44]
G. Richer, J. Sansen, F. Lalanne, D. Auber, R. Bourqui: HiePaCo: Scalable Hierarchical Exploration in Abstract Parallel Coordinates Under Budget Constraints. Big Data Res. 17, 2019
[45]
G. Chatzigeorgakidis, K. Patroumpas, D. imitrios Skoutas, S. Athanasiou, S. Skiadopoulos: Visual Exploration of Geolocated Time Series with Hybrid Indexing. Big Data Res. 15, 2019
[46]
X. Zhang, X. Ge, P.K. Chrysanthis, M.A. Sharaf: ViewSeeker: An Interactive View Recommendation Framework. Big Data Res. 25, 2021
[47]
B. Breve, L. Caruccio, S. Cirillo, V. Deufemia, G. Polese: Dependency Visualization in Data Stream Profiling. Big Data Res. 25, 2021
[48]
J. Abello, D. Nakhimovich: Graph Waves. Big Data Res. 29, 2022
[49]
K. Li, H. Naacke, B. Amann: An Analytic Graph Data Model and Query Language for Exploring the Evolution of Science. Big Data Res. 26, 2021
[50]
J. Suschnigg, B. Mutlu, G. Koutroulis, V. Sabol, S. Thalmann, T. Schreck: Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations. Big Data Res. 26, 2021
[51]
J. Abello, H. Zhang, D. Nakhimovich, C. Han, M. Aanjaneya: Giga Graph Cities: Their Buckets, Buildings, Waves, and Fragments. IEEE Computer Graphics and Applications 42(3), 2022
Information & Contributors
Information
Published In
![cover image ACM SIGMOD Record](/cms/asset/f43883f4-d9d5-4be9-a276-7588e103d601/3685980.cover.jpg)
Copyright © 2024 Copyright is held by the owner/author(s).
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 31 July 2024
Published in SIGMOD Volume 53, Issue 2
Check for updates
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 62Total Downloads
- Downloads (Last 12 months)62
- Downloads (Last 6 weeks)5
Reflects downloads up to 13 Feb 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in