DIMACS/CCICADA Workshop on Systems and Analytics of Big Data

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

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).
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:

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Document last modified on October 16, 2013.