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Scale and Complexity in Visual Analytics
2009
Information Visualization
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There is a growing impedance mismatch between data size/complexity and the human ability to understand and interact with data. ...
Visual analytic tools are intended to help reduce that impedance mismatch by using analytic tools to reduce the amount of data that must be viewed, and visualization tools to help understand the patterns ...
This is the information scalability problem; how do you extract the relevant data from a massive stream of data? ...
doi:10.1057/ivs.2009.23
fatcat:22tm7we5tzebtjm7krpfv5sy6i
Research Challenges for Data Mining in Science and Engineering
[chapter]
2008
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
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text, Web, and other unstructured data, (7) data cube-oriented multidimensional online analytical mining, (8) visual data mining, and (9) data mining by integration of sophisticated scientific and engineering ...
, and understanding of patterns and knowledge, (3) stream data mining, (4) mining moving object data, RFID data, and data from sensor networks, (5) spatiotemporal and multimedia data mining, (6) mining ...
There have been numerous data visualization tools for visualizing various kinds of data sets in massive amount and of multidimensional space [25] . ...
doi:10.1201/9781420085877.pt1
fatcat:ljs2uybdofgkxfpouawfekdaz4
Large-scale data visualization
2001
IEEE Computer Graphics and Applications
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A parallel visualization system must be scalable to fully use the massively parallel supercomputers available at various government laborato- ...
In many instances, we'd rather trade resolution for interactivity, which helps us define key visualization parameters for high-fidelity visualizations. ...
Thanks also go to Theresa-Marie Rhyne and the CG&A editorial staff. Without them, this special issue would not have been possible. ...
doi:10.1109/mcg.2001.933520
fatcat:ex2lhilbkffo3arpxnr4hdsulq
ISAVS
2017
SIGGRAPH Asia 2017 Symposium on Visualization on - SA '17
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environments Keywords Interactive visualization and analysis; parallel custom analysis work-flows; algorithms scalability; microscopy ...
We present a software infrastructure that simplifies end-to-end visualization and analysis of massive data. ...
They are typically executed in parallel, coordinating visualization and analysis tasks for massive data. ...
doi:10.1145/3139295.3139299
pmid:30148289
pmcid:PMC6105268
dblp:conf/siggraph/PetruzzaVGSFAPB17
fatcat:ppcwkpk32jd65arcaw3nrnvzne
Towards an Integrated Platform for Big Data Analysis
[article]
2020
arXiv
pre-print
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In order to understand these massive amounts of data, advanced visualization and data exploration techniques are required. ...
These large data sets have been labeled as "Big Data", and their storage, processing and analysis presents a plethora of new challenges to computer science researchers and IT professionals. ...
Furthermore, R can be linked with other languages (C, C++) and can be used for advanced massive data analysis. ...
arXiv:2004.13021v1
fatcat:xw2khemax5gs3n3p646br5fftq
An Analytical Research on the Big Data Tools and Techniques
2020
International journal of advanced information and communication technology
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The primary purpose of this paper is to provide an analysis of the big data analytics, including the issues and tools linked to the process of extensive information analysis. ...
A massive segment of information terabytes is produced daily due to the advent of technological systems and modern systems such as cloud computing and the Internet of Things (IoT). ...
Visualization and Scalability of Information Ensuring data security and scalability is a significant concern as a massive data analytics methodology. ...
doi:10.46532/ijaict-2020026
fatcat:jlkwgogmajhftnrnujggh7obpi
Big data: the driver for innovation in databases
2014
National Science Review
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Developing methods for interactive visual analytics is critical for successful scalable data analysis. ...
with the domain and subject experts, and the visualization of the massive data. ...
doi:10.1093/nsr/nwt020
fatcat:6jzhdfset5drlb6ciupz3ijsgy
Extreme Data-Intensive Scientific Computing
2011
Computing in science & engineering (Print)
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Streaming Visualization of Turbulence Scalable Data-Intensive Analysis • Large data sets => data resides on hard disks • Analysis has to move to the data • Hard disks are becoming sequential devices -For ...
10G connection • Both analysis and visualization become streaming problems • Same thing is true with searches -Massively parallel sequential crawlers (MR, Hadoop, etc) • Spatial indexing needs to be ...
doi:10.1109/mcse.2011.74
fatcat:lsmoilm2srbb7jkzfw7gg7cvuy
Scalable Visual Data Exploration of Large Data Sets via MultiResolution
2005
Journal of universal computer science (Online)
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Most existing visualization metaphors and concepts do not scale well on such large data sets as interaction capabilities and visual representations suffer from the massive number of data points. ...
During the last decade Visual Exploration and Visual Data Mining techniques have proven to be of high value in exploratory data analysis since they combine human visual perception and recognition capabilities ...
We believe, that for the analysis of massive data sets, it is not sufficient to just retrieve and display the data using a visual metaphor, it is rather necessary to support the analyst by filtering the ...
doi:10.3217/jucs-011-11-1766
dblp:journals/jucs/KeimS05
fatcat:ude4aey3dre4tabkumqtdjepli
Big Data New Challenges, Tools and Techniques
2019
Zenodo
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Big data is a term for huge data sets having large, varied and complex structure with challenges, such as difficulties in data capture, data storage, data analysis and data visualizing for further processing ...
Big Data tools Current Big Data tools concentrate on three classes, namely, batch processing tools, stream processing tools, and interactive analysis tools. ...
Big Data tools based on interactive analysis The interactive analysis presents the data in an interactive environment, allowing users to undertake their own analysis of information. ...
doi:10.5281/zenodo.3236637
fatcat:auzs6mz6lzfu5gt23323xdjxt4
ICDE conference 2015 detailed author index
2015
2015 IEEE 31st International Conference on Data Engineering
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Format In-Memory Database
Holmes, Mark
1400
Advanced Analytics on SAP HANA: Churn Risk Scoring Using Call Network Analysis
Honda, Shinya
1292
AEDSMS: Automotive Embedded Data Stream Management ...
Roatiş, Alexandra
1541
Reasoning on Web Data: Algorithms and Performance
Röhm, Uwe
125
Scalable Distributed Transactions Across Heterogeneous Stores
Rojcewicz, S.E.
1512
Interactive Preference-Aware ...
doi:10.1109/icde.2015.7113260
fatcat:ep7pomkm55f45j33tkpoc5asim
Scalable Pixel Based Visual Data Exploration
[chapter]
2007
Lecture Notes in Computer Science
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Mapping data points to pixels not only allows the analysis and visualization of large data sets, but also provides an intuitive way to convert raw data into a graphical form. ...
The paper presents different application scenarios from the fields of financial analysis, geo-visualization, and network data analysis that clearly show the practical benefit of the multi-resolution approach ...
Several classical visualization and interaction methods which, in an adapted or extended form, may be useful in the exploration of massive data sets have been proposed in the past. ...
doi:10.1007/978-3-540-71027-1_2
fatcat:up6mgpjn2za6dmktl2anknwxzy
A Big Data Analysis on Distributed File Storage System
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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To find a better development, researchers concentrated on Big Data Analysis (BDA), but the traditional databases, data techniques and platforms suffers from storage, imbalance data, scalability, insufficient ...
accuracy, slow responsiveness and scalability, which leads to very less efficiency in Big Data (BD) context. ...
Among these three processing, stream analysis is used for real time analysis, the users are able to directly interact for their own analysis by using interactive analysis process. ...
doi:10.35940/ijitee.b6427.129219
fatcat:ar5zzzrzyzbafnbyk4sprgqcly
A scalable cyberinfrastructure for interactive visualization of terascale microscopy data
2016
2016 New York Scientific Data Summit (NYSDS)
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In this work, we detail the image acquisition process and a hierarchical streaming platform, ViSUS, that enables interactive visualization of these massive multi-volume datasets using a standard desktop ...
In this paper we showcase the VISUS framework used in an interactive setting with the microscopy data. ...
With ViSUS we showed that a space-filling curve model has proven to be highly efficient for interactive analysis of massive neuroscience data. ...
doi:10.1109/nysds.2016.7747805
pmid:28638896
pmcid:PMC5475264
fatcat:h6vtaxedqzghtjym7r3u4wxnca
Distributed Resources for the Earth System Grid Advanced Management (DREAM)
[article]
2020
arXiv
pre-print
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and services resources on a distributed and scalable environment. ...
Thanks to these new technologies, DREAM was able to improve the ESGF architecture (including its computing and visualization services) to a level of deployability and scalability beyond the original expectations ...
interactive editing of massive imagery data". ...
arXiv:2004.09599v1
fatcat:j6nn4gel3ngyhdzwya2osnll3e
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