Big Data and Visualization: Methods, Challenges and Technology Progress
@inproceedings{Wang2015BigDA, title={Big Data and Visualization: Methods, Challenges and Technology Progress}, author={Lidong Wang and Guanghui Wang and Cheryl Ann Alexander}, year={2015} }
Big Data analytics plays a key role through reducing the data size and complexity in Big Data applications. Visualization is an important approach to helping Big Data get a complete view of data and discover data values. Big Data analytics and visualization should be integrated seamlessly so that they work best in Big Data applications. Conventional data visualization methods as well as the extension of some conventional methods to Big Data applications are introduced in this paper. The…
143 Citations
Challenges of Big Data Visualization in Internet-of-Things Environments
- Computer Science
- 2020
This paper focuses on the explanation of the essential challenges of big data visualization in the real-time stream and discusses the importance of data visualization.
Massive data visualization analysis analysis of current visualization techniques and main challenges for the future
- Computer Science2017 12th Iberian Conference on Information Systems and Technologies (CISTI)
- 2017
The state of the art on massive data visualization, main problems and challenges of information representation current techniques as well as the evolution of the tools and the future of them, in other words, new functionalities to offer are analyzed.
A Study on Big Data Visualization Techniques
- Computer Science
- 2019
The visualization techniques which are commonly used for data exploration and mining are surveyed and the impact of data mining through visualization is dealt with.
Big Data and Interactive Visualization: Overview on Challenges, Techniques and Tools
- Computer Science
- 2019
The data visualization constraints are highlighted followed by an overview of the most relevant work of data visualization in this field, and a classification is proposed that allow to well position oneself when thinking to Big Data visualization strategies.
Big data visualization: Review of techniques and datasets
- Computer Science2017 6th International Conference on Software Process Improvement (CIMPS)
- 2017
This paper discusses the revision of 83 articles on visualization techniques for Big Data of the last six years for the future realization of a comparative analysis of these techniques and to determine which are the most optimistic when analyzing Big Data.
Data Visualization Techniques and Algorithms
- Computer Science
- 2020
In this chapter, the behavior of animals is explored to help create a method and an algorithm for data visualization suited for big data visualization.
High Dimensional Data Visualization: Advances and Challenges
- Computer Science
- 2017
The advancements made so far in visualizing high dimensional data and the challenges that should be addressed in future researches are described.
Comparative Analysis of Tools for Big Data Visualization and Challenges
- Computer Science
- 2020
This chapter proposes to analyze data visualization tools in the form of their strengths and weaknesses in big datasets in order to allow user to go with the best visualization tool for analyzing the big data based on the nature of the dataset.
Big data visualization: Tools and challenges
- Computer Science2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)
- 2016
Why big data visualization is of utmost importance, how to visualize such a mammoth amount of data in real time or in static form and some bigData visualization tools are discussed.
Big Data Trends and Analytics: A Survey
- Computer Science
- 2017
This paper has discussed concept of Big Data, characteristics and challenges, its main focus is over data generated in various sector, analytics and various tools to manage data.
References
SHOWING 1-10 OF 21 REFERENCES
Analytical Review of Data Visualization Methods in Application to Big Data
- Computer ScienceJ. Electr. Comput. Eng.
- 2013
There are some specific problems in Big Data visualization, so there are definitions for these problems and a set of approaches to avoid them and a classification of visualization methods in application to Big Data is provided.
Big Data Visualization Collaborative Filtering Algorithm Based on RHadoop
- Computer ScienceInt. J. Distributed Sens. Networks
- 2015
A new big data visualization algorithm analysis integrated model that integrates the processing of big data and the visualization of data as a whole and contains all the advantages of Map Reduce is proposed.
Immersive and collaborative data visualization using virtual reality platforms
- Computer Science2014 IEEE International Conference on Big Data (Big Data)
- 2014
Immersion provides benefits beyond the traditional “desktop” visualization tools: it leads to a demonstrably better perception of a datascape geometry, more intuitive data understanding, and a better retention of the perceived relationships in the data.
Changing the Equation on Scientific Data Visualization
- Computer Science, ArtScience
- 2011
New database technologies, coupled with emerging Web-based technologies, may hold the key to lowering the cost of visualization generation and allow it to become a more integral part of the scientific process.
Optimizing star-coordinate visualization models for effective interactive cluster exploration on big data
- Computer ScienceIntell. Data Anal.
- 2014
This paper systematically study the star-coordinate based visualization models and proposes the optimized design that presents the best visualization results and supports the most efficient interaction methods.
Data and Information Visualization Methods, and Interactive Mechanisms: A Survey
- Computer Science, Art
- 2011
The purpose of this piece of document is to collect all visualization techniques with their brief introduction to form a guide for the young researchers who wants to start work in visualization.
imMens: Real‐time Visual Querying of Big Data
- Computer ScienceComput. Graph. Forum
- 2013
Methods for interactive visualization of big data, following the principle that perceptual and interactive scalability should be limited by the chosen resolution of the visualized data, not the number of records are presented.
Social Network Visualization Method using Inherence Relationship of User Based on Cloud
- Computer ScienceMUE 2014
- 2014
The proposed cloud based on visualization method can intuitionally understand the user's social relationship since the method uses correlation matrix to represent a hierarchical relationship of user nodes of social network.
The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions
- Computer Science
- 2014
The Visual Organization is fundamentally about how progressive organizations today are using a wide array of dataviz tools to ask better questions of their data and make better business decisions, and serves as a useful and jargon-free overview of a very important subject: Big Data.
Research Challenges for Visualization Software
- Computer ScienceComputer
- 2013
As the visualization research community reorients its software to address up-coming challenges, it must successfully deal with diverse processor architectures, distributed systems, various data…