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Scale and Complexity in Visual Analytics

George Robertson, David Ebert, Stephen Eick, Daniel Keim, Ken Joy
2009 Information Visualization  
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]

Jiawei Han, Jing Gao
2008 Chapman & Hall/CRC Data Mining and Knowledge Discovery Series  
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

Kwan-Liu Ma
2001 IEEE Computer Graphics and Applications  
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

Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer
2017 SIGGRAPH Asia 2017 Symposium on Visualization on - SA '17  
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]

Mahdi Bohlouli, Frank Schulz, Lefteris Angelis, David Pahor, Ivona Brandic, David Atlan, Rosemary Tate
2020 arXiv   pre-print
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

Yoshitaka Akiyama, Aravindhan K
2020 International journal of advanced information and communication technology  
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

Bin Cui, Hong Mei, Beng Chin Ooi
2014 National Science Review  
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

Alex Szalay
2011 Computing in science & engineering (Print)  
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

Daniel A. Keim, Jörn Schneidewind
2005 Journal of universal computer science (Online)  
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

T. Vaikunth Pai
2019 Zenodo  
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  
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]

Daniel A. Keim, Jörn Schneidewind, Mike Sips
2007 Lecture Notes in Computer Science  
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  
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

A. Venkat, C. Christensen, A. Gyulassy, B. Summa, F. Federer, A. Angelucci, V. Pascucci
2016 2016 New York Scientific Data Summit (NYSDS)  
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]

Luca Cinquini, Steve Petruzza, Jason Jerome Boutte, Sasha Ames, Ghaleb Abdulla, Venkatramani Balaji, Robert Ferraro, Aparna Radhakrishnan, Laura Carriere, Thomas Maxwell, Giorgio Scorzelli, Valerio Pascucci
2020 arXiv   pre-print
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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