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<div class="WordSection1">
<p class="MsoNormal" style="background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333">Dear Colleagues:<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333">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. <o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333">If you have any questions, please do not hesitate to contact me at
<a href="mailto:aaggarwal@ubalt.edu">aaggarwal@ubalt.edu</a>.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333">Regards,<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333">Anil Aggarwal, Professor<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt;background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333">University of Baltimore<o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333"><img border="0" width="181" height="102" id="Picture_x0020_2" src="cid:image001.jpg@01CFA115.F1925D00"><o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:9.0pt;font-family:"Arial","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><b><span style="font-size:20.0pt;color:#333333">Call for Chapters<o:p></o:p></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:13.5pt;font-family:"Tahoma","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><b><span style="font-size:18.0pt">Managing Big Data Integration in the Public Sector<o:p></o:p></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:13.5pt;font-family:"Tahoma","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="color:#333333">By Dr. Anil Aggarwal<o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="color:#333333">University of Baltimore<o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><a href="mailto:aaggarwal@ubalt.edu"><span style="font-size:9.0pt;font-family:"Arial","sans-serif"">aaggarwal@ubalt.edu</span></a><span class="MsoHyperlink"><span style="font-size:9.0pt;font-family:"Arial","sans-serif""><o:p></o:p></span></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span class="MsoHyperlink"><span style="font-size:9.0pt;font-family:"Arial","sans-serif""><o:p><span style="text-decoration:none"> </span></o:p></span></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><a href="https://home.ubalt.edu/ntsbagga/callforchapters_2.pdf"><span style="font-size:9.0pt;font-family:"Arial","sans-serif"">https://home.ubalt.edu/ntsbagga/callforchapters_2.pdf</span></a><span style="color:#333333"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white">
<span style="color:#333333">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.</span><span style="font-size:11.0pt;color:#333333"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt;background:white"><span style="color:#333333">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</span><span style="font-size:10.0pt;color:#333333">.<o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:13.5pt;font-family:"Tahoma","sans-serif";color:#333333">Recommended Topics<o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:13.5pt;font-family:"Tahoma","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="color:#333333">Recommended topics include, but are not limited to, the following:</span><span style="font-size:11.0pt;color:#333333"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Big data applications: hospitals, cities, government agencies, non-profits, universities, etc.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]>Big data opportunities and Challenges<o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Big data models<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Big data environment<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Big data visualization<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Economics of big data<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Mapping of big data<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Big data management: HADOOP, MapReduce, HDFS, HBase, Hive, PIG, STORM, etc.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Big Data and Cloud Interoperability<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Big Data Analytics Applications<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Web Mining for Business Analytics<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Business Analytics applied to Big data<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Challenges/opportunities of big data and business analytics<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
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</span></span></span><![endif]><span style="color:#333333">Big data from management perspectives<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Big Data security<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol;color:#333333"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="color:#333333">Big data, business analytics and management decision making<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;margin-bottom:2.25pt;margin-left:7.5pt;text-indent:-.25in;mso-list:l0 level1 lfo2;background:white">
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</span></span></span><![endif]><span style="color:#333333">Success and Failures of Big data applications<o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:13.5pt;font-family:"Tahoma","sans-serif";color:#333333">Submission Procedure<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white">
<span style="color:#333333">Researchers and practitioners are invited to submit on or
</span>before August 1<b>, 2014</b><span style="color:#333333">, 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
<b>August 15, 2014</b> about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by
<b>November 1, 2014</b>. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.</span><span style="font-size:11.0pt;color:#333333"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;background:white">
<span style="color:#333333">All proposals can be submitted through the link below or e-mailed directly to Dr. Aggarwal:<br>
</span><a href="http://www.igi-global.com/publish/call-for-papers/call-details/1385">http://www.igi-global.com/publish/call-for-papers/call-details/1385</a><span style="color:#333333"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt;background:white"><span style="color:#333333">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
</span><a href="http://www.igi-global.com" target="_blank"><span style="color:#3366CC;text-decoration:none">www.igi-global.com</span></a><span style="color:#333333">. This publication is anticipated to be released in 2015.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt;background:white"><span style="font-size:13.5pt;font-family:"Tahoma","sans-serif";color:#333333">Important Dates<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt;background:white"><b>August 1, 2014</b><span style="color:#333333">: Proposal Submission Deadline (proposed)<br>
<b>August 15, 2014</b>: Notification of Acceptance<br>
<b>November 1, 2014</b>: Full Chapter Submission<br>
<b>January 30, 2015</b>: Review Results Returned<br>
<b>March 30, 2015</b>: Final Acceptance Notification<br>
<b>April 30, 2015</b>: Final Chapter Submission<br>
</span><span style="font-size:13.5pt;font-family:"Tahoma","sans-serif";color:#333333"><br>
Inquiries: Dr. Aggarwal - </span><a href="mailto:aaggarwal@ubalt.edu"><span style="font-size:13.5pt;font-family:"Tahoma","sans-serif"">aaggarwal@ubalt.edu</span></a><span style="font-size:13.5pt;font-family:"Tahoma","sans-serif";color:#333333"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt;background:white"><span style="font-size:13.5pt;font-family:"Tahoma","sans-serif";color:#333333"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D"><o:p> </o:p></span></p>
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