[AISWorld] Big Data Book: call for chapters

[Anil Aggarwal]

Dear Colleagues:

As big data becomes a driving decision making force, it is becoming necessary to continue researching this area. I would like to invite you to submit to the book on big data.
If you have any questions, please do not hesitate to contact me at aaggarwal at ubalt.edu<mailto:aaggarwal at ubalt.edu>.

Regards,
Anil Aggarwal, Professor
University of Baltimore


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Call for Chapters

Managing Big Data Integration in the Public Sector

By Dr. Anil Aggarwal
University of Baltimore
aaggarwal at ubalt.edu<mailto:aaggarwal at 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.
*         Big data opportunities and Challenges
*         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
Researchers and practitioners are invited to submit on or before August 1, 2014, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by August 15, 2014 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by November 1, 2014. 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<http://www.igi-global.com>. This publication is anticipated to be released in 2015.
Important Dates
August 1, 2014: Proposal Submission Deadline (proposed)
August 15, 2014: Notification of Acceptance
November 1, 2014: Full Chapter Submission
January 30, 2015: Review Results Returned
March 30, 2015: Final Acceptance Notification
April 30, 2015: Final Chapter Submission

Inquiries: Dr. Aggarwal - aaggarwal at ubalt.edu<mailto:aaggarwal at ubalt.edu>


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