BIG DATA
Call for Chapters
Managing Big Data Integration in the Public Sector
By Dr. Anil Aggarwal, Professor
University of Baltimore
aaggarwal@ubalt.edu
https://home.ubalt.edu/ntsbagga/callforchapters_2.pdf
This book identifies and provides opportunities related to the emerging field of big data and data
analytics. One example of big data is the tragedy related to the Malaysian Airline disappearance. This
incident has created an unprecedented amount of data in different forms from many different sources,
such as the sensors, logs, social media (Facebook, Twitter, etc.), air traffic controllers, maps, etc. It has
brought together participants from many different countries with different kinds of expertise. The problem
is to combine these different sources and forms of data and to develop some intelligence which can help
locate the missing airliner. The Malaysian airliner is just one example where big data and data mining are
applied in a multi-government level collaboration. There are many examples where data management
becomes problematic. With the proliferation of social networks, data is generated in non-traditional places
like Twitter, Facebook, and Flickr to name a few. Government and businesses are aggressively
monitoring and trying to make sense out of the data which is generated from these sites.
Big data is an emerging area which has only recently caught the attention of researchers. The field is
evolving very fast. Literature typically has focused on social networks, but data mining but has not
merged the areas to provide meaningful insights. This book proposes to go beyond and identify big data
open platforms, big data technology and big data management, especially in government applications. It
will also address how big data can be combined with cloud platforms and how business analytics can be
used to provide opportunities for decision makers. The book will identify strategies for public sectors like
the government agencies, hospitals, cities, states etc. to be more responsive to stakeholders, namely the
citizen, needs. In addition, this book will also address ad-hoc situations like disasters (missing planes,
earthquakes, fires etc.) that create swift team that use big data to solve these problems.
Recommended Topics
Recommended topics include, but are not limited to, the following:
Big data applications: hospitals, cities, government agencies, non-profits, universities, etc.
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Big data models
Big data environment
Big data visualization
Economics of big data
Mapping of big data
Big data management: HADOOP, MapReduce, HDFS, HBase, Hive, PIG, STORM, etc.
Big Data and Cloud Interoperability
Big Data Analytics Applications
Web Mining for Business Analytics
Business Analytics applied to Big data
Challenges/opportunities of big data and business analytics
Big data from management perspectives
Big Data security
Big data, business analytics and management decision making
Success and Failures of Big data applications
Submission Procedure
Full chapters are expected to be submitted by February 20, 2015. All submitted chapters will be
reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for
this project.
All proposals can be submitted through the link below or e-mailed directly to Dr. Aggarwal:
http://www.igi-global.com/publish/call-for-papers/call-details/1385
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the
"Information Science Reference" (formerly Idea Group Reference), "Medical Information Science
Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional
information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to
be released in 2015.
Important Dates
February 20, 2015: Full Chapter Submission
March 25, 2015: Review Results Returned
April 15, 2015: Final Acceptance Notification
May 15 30, 2015: Final Chapter Submission
Inquiries
All inquiries should be made to:
Dr. Aggarwal
aaggarwal@ubalt.edu