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[CCICADA-announce] Call for Posters: DIMACS/CCICADA Workshop on Systems and Analytics of Big Data

Linda Casals lindac at dimacs.rutgers.edu
Fri Feb 21 11:25:46 EST 2014


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DIMACS/CCICADA Workshop on Systems and Analytics of Big Data

  March 17 - 18, 2014
  DIMACS Center, CoRE Building, Rutgers University

Organizers:
    Joseph Gonzalez, UC Berkeley 
    Daniel Hsu, Columbia University 
    Li Erran Li, Bell Labs, erranlli at gmail.com 

Presented under the auspices of the Special Focus on Information
Sharing and Dynamic Data Analysis and The Command, Control, and
Interoperability Center for Advanced Data Analysis (CCICADA).

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Workshop Announcement:

Tremendous progress has been made in systems and analytics of big
data, e.g. Hadoop/MapReduce, STORM. However, modern data analytics
faces a confluence of growing challenges. First, the increasing data
deluge in social networks, online retails, web pages, mobile data, etc
creates the need to scale out across hundreds of thousands of
commodity machines. Second, the complexity of data analytics has also
grown to include sophisticated machine learning algorithm with data
dependencies. Third, many systems process streaming data and have real
time requirements.

We believe that this emerging field will benefit from close interaction 
among researchers and industry practitioners. To this end, this
workshop brings together academics and practitioners in computer
systems, databases, networking, machine learning, and algorithms to
share their research accomplishments and identify core problems on big
data.

Topics of interest include but are not limited to the following:

  * Systems Issues related to large datasets: storage, data
       centers/clouds, streaming system, and architecture.
  * New programming model for big data beyond Hadoop/MapReduce, 
       STORM, streaming languages
  * Streaming big data processing
  * Mining algorithms of big data in non-traditional 
       formats (unstructured, semi-structured)
  * Scalable, distributed and parallel algorithms
  * Applications: mobile data, social network systems, smart grid,
       social media systems, scientific data mining, environmental,
       health analytics, financial analytics and smart cities. 

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**Call for Participation and Posters:**

Talks are by invitation only.

Attendance at the workshop is open to all interested participants
(subject to space limitations). Please register if you would like to
attend this workshop.  

****Call for Posters:****

We are soliciting poster abstracts for ongoing work in research and
applications at the intersection of Analytics, Machine Learning, and
Systems. Topics of interest include but are not limited to the
following:

  * Systems Issues related to large datasets: storage, data
       centers/clouds, streaming system, and architecture.
  * New programming model for big data beyond Hadoop/MapReduce, 
       STORM, streaming languages
  * Streaming big data processing
  * Mining algorithms of big data in non-traditional 
       formats (unstructured, semi-structured)
  * Scalable, distributed and parallel algorithms
  * Applications: mobile data, social network systems, smart grid,
       social media systems, scientific data mining, environmental,
       health analytics, financial analytics and smart cities. 
    
Poster abstracts should be one page (PDF) highlighting ongoing work
and preliminary results. Submissions should be sent to
biglearning at dimacs.rutgers.edu by March 3, 2014.

Accepted submissions will receive free registration and may also be
selected for spotlight presentations. 

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Workshop web site (including registration):  

  http://dimacs.rutgers.edu/Workshops/Analytics/



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