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4th Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery

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When :  2017-12-11

Where :  Boston,USA

Submission Deadline :  2017-10-20

Categories :   Software Engineering & Security ,  Software Testing      

Untitled Document

4th Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery(ASH 2017)

December 11-14, 2017

Boston,USA

Call for papers    

This workshop aims at bridging the latest technology development in hardware and software with big data end users. The topics of the workshop are centered on the accessibility and applicability of the latest hardware and software to practical domain problems and education settings. The workshop will discuss issues in facilitating data-driven discovery with the latest software and hardware technologies for domain researchers, such as performance evaluation, optimization, accessibility, usability, and education of new technologies. We anticipate workshop participation from computer scientists, domain users, service providers, technology inventors in industry, as well as educators in computer science and computing technology. We intend to invite cyber-infrastructure specialists to share their experience with the latest hardware and software advancements, data scientists to share their experiences and perspectives in using those technologies for data-driven discovery, and educators to share their stories in educating big data theory, computing foundation, and essential tools and resources. 

Topics  of Interest

  • Adopt latest hardware technology with for Big Data analytics 
  • Using high performance computing resources, cyber-infrastructures and large system for Big Data to knowledge discovery 
  • New software schema designs and data models for big data collection management and analysis 
  • Analysis, visualization, and retrieval on large-scale data sets 
  • Application and use cases in using novel tools and resources for Big Data in sciences and engineering 
  • Service oriented architectures to enable data science 
  • Big data and interactive analysis languages (e.g., R, Python, Scala, and Matlab) 
  • Demos of new software tools and hardware technologies 
  • Putting Expert-in-the-Loop for big data analytics 
  • Education of data theory, computing foundation, and data infrastructure for data science

Important Dates

  • Submission Deadline    :  October 20, 2017

  • Authors Notification      : November 05, 2017

  • Final Manuscript Due     : November 15, 2017

 

User Name : agustina
Posted 06-09-2017 on 15:53:01 AEDT


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