LexisNexis, Academia Start Big Data Conversation at CTS's First International Symposium on Big Data & Data Analytics in

LexisNexis, Academia Start Big Data Conversation at CTS's First International 
Symposium on Big Data & Data Analytics in Collaboration 
ATLANTA, GA -- (Marketwired) -- 05/17/13 --  LexisNexis Risk(R)
Solutions today announced the program schedule for the First
International Symposium on Big Data & Data Analytics in Collaboration
(BDDAC), held in conjunction with the 2013 International Conference
on Collaboration Technologies and Systems, May 20-24, 2013, in San
Diego. LexisNexis and its team from HPCC Systems(R), an open-source,
enterprise-proven platform for Big Data analysis and processing, are
bringing together big data and academic experts from leading
organizations and universities across the country and abroad.  
"The research and academic communities, government organizations and
leading companies in the Big Data field are key to the innovation in
technology required to solve today's societal challenges," said
Flavio Villanustre, Vice President, Information Security, LexisNexis,
and symposium organizer. "It is this type of collaboration that fuels
the evolution of information technology. We appreciate everyone's
contribution to make this forum a reality for organizations looking
to extract better insights from Big Data."  
The First International Symposium on Big Data and Data Analytics in
Collaboration (BDDAC 2013) Program Schedule:  


 
--  Big Data, Deep Data, and the Effect of System Architectures on
    Performance

  
Speaker: Peter Kogge, University of Notre Dame and EMU Solutions, Inc.,
Indiana, USA
 "Big Data" traditionally refers to some combination of
high volume of data, high velocity of change, and/or wide variety and
complexity of the underlying data. Recently, a growing number of
"Deep Data" problems have arisen where it is the relationships
between objects, and not necessarily the collections of objects, that
are important, and for which the traditional implementation
techniques are unsatisfactory. The goal is to discover, to at least a
first order approximation, what are the tall poles preventing a
speedup of their solution. 


 
--  New Technologies and Approaches for Deriving Insight from Big Data

  
Panel Speakers:  


 
--  Flavio Villanustre, VP, LexisNexis
--  Nikolaos Vasiloglou, CEO, Ismion Inc.
--  Jacob Spoelstra, Global Head of R&D, Opera Solutions, LLC
--  Aditya Sehgal, Director of Research and New Products, Parity Computing
    Inc.

  
Have you wondered why there is so much data and why it is growing so
fast? Companies have been collecting data for years in transaction
systems. The adoption of mobile phones and the expansion of the
Internet are leading to every machine becoming a node on the Web,
relentlessly generating data! The moderator will engage a panel of
data scientists and researchers into a discussion on the best tools
and approaches for studying social media data and understanding the
difference between "tons of data" and "meaningful information derived
from data." Panelists will share their insights and knowledge on how
new technologies are helping to drive decision-making, uncover
patterns and reveal relationships that never before could have been
obtained. 


 
--  Case Study: Delivering a Comprehensive Suite of Tools to Support
    Travel Agents Identify and Capture New-sell/Cross-sell/Up-sell
    Opportunities

  
Speakers: Siddhartha Bagaria, Staff Scientist; Richard Palmer,
Principal; and Jacob Spoelstra, Global Head of R&D, Opera Solutions,
LLC 
 Volume and velocity are two of the three V's that define Big
Data. This is especially true in the global travel industry, where
billions of messages are being passed between travel agents and
travel providers on a continual basis, arriving at rates of
hundreds/thousands per second (this includes for example availability
requests, rate information, bookings, changes to booking and
cancellations.) This presents a challenge for traditional Business
Intelligence reporting. This case study discussion will describe the
approach, the technology used, results obtained and lessons learned. 


 
--  Big Data, Little Decisions: Tightening the Loop between Data Crunching
    and Human Expertise

  
Speakers: Zack Bennett, Consulting Computational Linguist, and Marc G.
L'Heureux, Senior Computational Linguist, LexisNexis
 This case study
examines how the legal and professional business of LexisNexis uses
scaled active learning on the HPCC Systems environment to focus
manual topical annotations on critical documents pulled from a large
corpus powering its content and technology solutions. The active
learning system uses natural language processing and machine learning
techniques to identify and present "next best" training set
candidates to legal editors, combining massive parallel processing
with expert human analysis to improve classifier accuracy while
minimizing human effort. 
Mary Galvin of LexisNexis Special Services Inc. will also present a
demo session at CTS 2013 on Smart View(TM) Entity Resolution. This
demo highlights how data scientists can gain new, deeper insights
into entities of interest across "big" datasets; all without needing
to attempt to integrate separate, disparate technologies for data
processing, entity resolution, and data enrichment. Using Smart
View's unique, statistical approach, combined with an easy-to-use
interface and powerful visualization features, offers a compelling
solution, data scientists can tackle their organization's internal
entity resolution challenges. 
Participants on the BDDAC 2013 International Program Committee can be
found here.  
LexisNexis offers free, online introductory programming classes to
learn HPCC Systems, designed for professional and student developers
and the academic community. For more information, visit
http://learn.lexisnexis.com/hpcc.  
About HPCC Systems(R)
 HPCC Systems(R) (www.hpccsystems.com) from
LexisNexis(R) Risk Solutions offers a proven, data-intensive
supercomputing platform designed for the enterprise to process and
solve Big Data analytical problems. As an alternative to legacy
technology, HPCC Systems offers a consistent data-centric programming
language, two processing platforms and a single, complete end-to-end
architecture for efficient processing. Connect with us on Twitter
(@hpccsystems), Facebook (https://www.facebook.com/hpccsystems) and
LinkedIn (http://www.linkedin.com/company/hpcc-systems) 
About LexisNexis Risk Solutions 
 LexisNexis(R) Risk Solutions
(www.lexisnexis.com/risk/) is a leader in providing essential
information that helps customers across all industries and government
predict, assess and manage risk. Combining cutting-edge technology,
unique data and advanced scoring analytics, we provide products and
services that address evolving client needs in the risk sector while
upholding the highest standards of security and privacy. LexisNexis
Risk Solutions is part of Reed Elsevier, a leading publisher and
information provider that serves customers in more than 100 countries
with more than 30,000 employees worldwide. 
Media Contact 
Jill Ratkevic
Black Swans Media for LexisNexis
jill@blackswansmedia.com
+1.408.399.5100 
 
 
Press spacebar to pause and continue. Press esc to stop.