A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
VisualFacts: A Platform for In-Situ Visual Exploration and Real-Time Entity Resolution
2022
International Conference on Extending Database Technology
Preserved Fulltext
VisualFacts combines in-situ visualization with real-time entity resolution capabilities to address scenarios where users wish to visual explore and efficiently perform analytic operations directly on ...
VisualFacts is an open-source data visualization platform for big geo-located data. ...
Introduction In-situ visual exploration and analysis has become a common practise due to the availability of big datasets in raw formats (e.g., csv/json). ...
dblp:conf/edbt/PapastefanatosA22
fatcat:k5ldw6slqnerxmz6y6zso2bsoq
RawVis: Visual Exploration over Raw Data
[chapter]
2018
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Data exploration and visual analytics systems are of great importance in Open Science scenarios, where less tech-savvy researchers wish to access and visually explore big raw data files (e.g., json, csv ...
In this work, we present our work for enabling efficient in site query processing on big raw data files for interactive visual exploration scenarios. ...
Introduction In situ data exploration [1, [15] [16] [17] is a recent trend in raw data management, which aims at enabling on-the-fly scalable querying over large sets of volatile raw data, by avoiding ...
doi:10.1007/978-3-319-98398-1_4
fatcat:vossh7km3fhsznlhfwipbwoqfq
Adaptive Indexing for In-situ Visual Exploration and Analytics
2021
International Workshop on Data Warehousing and OLAP
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this work, we present an adaptive indexing scheme that enables efficient visual exploration and analytics over big raw data files. ...
In in-situ scenarios, big raw data files which do not fit in main memory, must be efficiently handled using commodity hardware, without the overhead of a preprocessing phase or the loading of data into ...
In the last few years, the in-situ paradigm has been adopted in the context of data exploration scenarios, referring to data access methods that enable the analysis over large sets of raw data, i.e., data ...
dblp:conf/dolap/MaroulisBPVV21
fatcat:yygjsk4a55d6fpksbjzq435tbe
Big Data Visualization Tools
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Data visualization is the presentation of data in a pictorial or graphical format, and a data visualization tool is the software that generates this presentation. ...
Data visualization provides users with intuitive means to interactively explore and analyze data, enabling them to effectively identify interesting patterns, infer correlations and causalities, and supports ...
In situ data exploration [16, 39, 40, 41, 42, 43] is a recent trend, which aims at enabling on-the-fly exploration over large and dynamic sets of data, without (pre)processing (e.g., loading, indexing ...
arXiv:1801.08336v2
fatcat:n4kdbz6iyzbdrd2ycmh7uu7zle
Study on Potential Capabilities of a Nodb System
2014
International Journal on Information Theory
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Complex application and Big Table require highly optimized queries. Users are facing the increasing bottlenecks in their data analysis. ...
Data loading cost, b-Query processing timing, c-Avoidance of Collision and Deadlock, d-Enabling the Big data storage and e-Optimize query processing etc. ...
The main bottleneck of in situ query processing is the access to raw data. The aim of PostgresRaw of the study is geared towards improving access on raw data in two ways by 1. ...
doi:10.5121/ijit.2014.3309
fatcat:o2vz6jmhafc7xjclzkb7vo3c6i
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project
2018
Very Large Data Bases Conference
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this context, the SciDISC project addresses the grand challenge of scientific data analysis using DISC, by developing architectures and methods to combine simulation and data analysis. ...
SciDISC is an ongoing project between Inria, several research institutions in Rio de Janeiro and NYU. ...
The experiments in SciDISC are carried out using the Inria Grid'5000 testbed (www.grid5000.fr), NACAD/COPPE supercomputers and LNCC SINAPAD Santos Dumont supercomputer (sdumont.lncc.br). ...
dblp:conf/vldb/ValduriezMABCCG18
fatcat:fk2hp6vhxjebtpgpi7y6p3b24e
Big Data and Cloud Computing
[chapter]
2019
Manual of Digital Earth
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Big Earth data are increasing tremendously with growing heterogeneity, posing grand challenges for the data management lifecycle of storage, processing, analytics, visualization, sharing, and applications ...
This chapter introduces Digital Earth data sources, analytical methods, and architecture for data analysis and describes how cloud computing supports big data processing in the context of Digital Earth ...
In situ data are big data considering the volume, velocity, and veracity. ...
doi:10.1007/978-981-32-9915-3_9
fatcat:n4drlq63tvfczbvfaopvkkhec4
Estimating Shear Strength Properties of the Surrounding Soils Based on the Execution Energies of Piles
2022
Geotechnics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Big data (BD) workflows enable the use of massive data available to update the correlations and to provide more accurate predictions of the parameters studied. ...
Even in situ tests rely on empirical correlation formulas, which link observed phenomena to soil properties. These correlations should be updated according to the specific design conditions. ...
Data Availability Statement: The data used are available upon request to the corresponding author. ...
doi:10.3390/geotechnics2020022
fatcat:oonojf3hl5buper7s3ojh5345e
Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems
2015
Big Data Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Additionally, we acknowledge developers and publishers of the reviewed big data use cases, whose publications were used as empirical material in this study. ...
Acknowledgements The authors acknowledge Markus Meier for design of the reference architecture for big data systems, which inspired the authors for replication and differentiation in this work. ...
[16] discussed OLAP over big data, big data posting and privacy as part of big data research agenda. ...
doi:10.1016/j.bdr.2015.01.001
fatcat:diyyx34wqzewbcwshq2yezsxm4
A Big Data Architecture For Managing Oceans Of Data And Maritime Applications
2017
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A Big Data Architecture for Managing Oceans of Data and Maritime Applications ...
The identified discoveries are passed to the visualization components to explore the predicted associations and patterns.
VI. ...
In our Big Maritime Data Architecture, maritime data is kept in raw format and allows data integration and query execution on-the-fly.
VII. ...
doi:10.5281/zenodo.815360
fatcat:lxblkrfkozfqxbqq72aeaatcxi
Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community
2020
Water
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In conclusion, the paper shows that sufficient big data exist in groundwater domain and that BDA exists to be used in groundwater sciences thereby providing the basis to further explore data-driven sciences ...
Through a review of the literature, this paper defines the concepts of big data, big data sources in groundwater, big data analytics, big data platforms and framework and how they can be used to support ...
be applied to improve accuracy in the raw data. ...
doi:10.3390/w12102796
fatcat:7je4w43adzcetow6dyrzmwoh5a
Visualization of Climate Science Simulation Data
2021
IEEE Computer Graphics and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This article focuses on developments and trends in the scientific workflow for the analysis and visualization of climate simulation data, as well as on changes in the visualization techniques and tools ...
Climate simulations belong to the most data-intensive scientific disciplines and are-in relation to one of humankind's largest challenges, i.e., facing anthropogenic climate change-ever more important. ...
We also experiment with the possibility to train a neural network online, by routing the training data directly over the in situ Catalyst adaptor to an AI training framework. ...
doi:10.1109/mcg.2020.3043987
pmid:33444129
fatcat:64sp5b53kvdzdadf2dajzlhl7a
In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC
2016
Supercomputing Frontiers and Innovations
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We introduce the in situ template library ISAAC which enables arbitrary applications like scientific simulations to live visualize their data without the need of deep copy operations or data transformation ...
Especially applications using hardware accelerators like Nvidia GPUs cannot save enough data to be analyzed in a later step. There is a high risk of loosing important scientific information. ...
In situ, steerable, hardware-independent and data-structure agnostic visualization with... Figure 5 . ...
doi:10.14529/jsfi160403
fatcat:yfib43bwajds7lhee3gzklry5i
Interactive Data Exploration of Distributed Raw Files: A Systematic Mapping Study
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Here, we intend to review the current state-of-the-art of interactive data exploration, aiming at satisfying three requirements: access to raw data files, stored in a distributed environment, and with ...
When exploring big amounts of data without a clear target, providing an interactive experience becomes really difficult, since this tentative inspection usually defeats any early decision on data structures ...
[54] , resulting on a visual exploration tool for raw data files. ...
doi:10.1109/access.2018.2882244
fatcat:wdflglk4grdkfkvwziwbexoay4
The Allen Brain Atlas as a Resource for Teaching Undergraduate Neuroscience
2018
Journal of Undergraduate Neuroscience Education
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
These open data have been paired with unique navigation and visualization tools such that the neuroscience researcher can explore, utilize and even incorporate these data into their publications. ...
The open science movement has resulted in a growing field of data- and tool-sharing platforms that serve as a resource not only for sharing data and results in the field of brain science but has allowed ...
In order to make this vast amount of image data accessible, informatics and visualization tools were developed that, when integrated with the images, gave the online user the ability to navigate and explore ...
pmid:30254541
pmcid:PMC6153011
fatcat:ilduhxawnrgffkvmgq3cnkz7cy
« Previous
Showing results 1 — 15 out of 10,444 results