Correction - [Deadline Extended] Special Issue: Big Data Exploration, Visualization and Analytics, Big Data Research Journal, Elsevier

[Nikos Bikakis]

Due to numerous requests the submission deadline has been extended to 
**September 15, 2018**.


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Call for Papers

Special Issue "Big Data Exploration, Visualization and Analytics"
Big Data Research Journal, Elsevier
https://goo.gl/CJ9BJ5


One the major challenges of the Big Data era is that it has realized the 
availability of a great amount and variety of massive datasets for 
analysis by non-corporate data analysts, such as research scientists, 
data journalists, policy makers, SMEs and individuals. A major 
characteristic of these datasets is that they are: accessible in a raw 
format that are not being loaded or indexed in a database (e.g., plain 
text, json, rdf), dynamic, dirty and heterogeneous in nature. The level 
of difficulty in 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. The purpose of visual data exploration is to facilitate 
information perception and manipulation, knowledge extraction and 
inference by non-expert users. The visualization techniques, used in a 
variety of modern systems, provide users with intuitive means to 
interactively explore the content of the data, identify interesting 
patterns, infer correlations and causalities, and supports sense-making 
activities that are not always possible with traditional data 
traditional data analysis techniques.

In the Big Data era, several challenges arise in the field of data 
visualization and analytics. First, the modern exploration and 
visualization systems should offer scalable data management techniques 
in order to efficiently handle billion objects datasets, limiting the 
system response in a few milliseconds. Besides, nowadays systems must 
address the challenge of on-the-fly scalable visualizations over large 
and dynamic sets of volatile raw data, offering efficient interactive 
exploration techniques, as well as mechanisms for information 
abstraction, sampling and summarization for addressing problems related 
to visual information overplotting. Further, they must encourage user 
comprehension offering customization capabilities to different 
user-defined exploration scenarios and preferences according to the 
analysis needs. Overall, the challenge is to enable users to gain value 
and insights out of the data as rapidly as possible, minimizing the role 
of IT-expert in the loop.

This special issue aims to publish work on multidisciplinary research 
areas spanning from Data Management and Mining to Information 
Visualization and Human-Computer Interaction.



Topics for the Special Issue
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Topics of interest include, but are not limited to:
  - Visualization and exploration techniques for various Big Data types 
(e.g., stream, spatial, high-dimensional, graph)
  - Human-centered database techniques
  - Indexes and data structures for data visualization
  - Raw data visual exploration and analytics
  - Incremental and adaptive processing
  - Interactive caching and prefetching
  - Scalable visual operations (e.g., zooming, panning, linking, brushing)
  - Big Data visual representation techniques (e.g., aggregation, 
sampling, multi-level, filtering)
  - Setting-oriented visualization (e.g., display resolution/size, smart 
phones, pixel-oriented, visualization over networks)
  - User-oriented visualization (e.g., assistance, personalization, 
recommendation)
  - Visual analytics (e.g., pattern matching, timeseries analytics, 
prediction analysis, outlier detection, OLAP)
  - Visual and interactive data mining
  - Models of human-in-the-loop data analysis
  - High performance/Parallel techniques
  - Visualization hardware and acceleration techniques
  - Linked Data and ontologies visualization
  - Case and user studies
  - Systems and tools



  Important Dates
-------------------------------
   Submission Deadline: September 15, 2018   **extended**
   Author Notification: November 1, 2018
   Revised Manuscript Due: January 10, 2019
   Notification of Acceptance: February 10, 2019
   Final Manuscript Due: February 25, 2019
   Tentative Publication Date: May, 2019


Guest Editors
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   Nikos Bikakis, ATHENA Research Center, Greece
   George Papastefanatos, ATHENA Research Center, Greece
   Olga Papaemmanouil, Brandeis University, USA

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