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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><b><span style='font-family:"Times New Roman",serif'>The 6th International Symposium on Mining Intelligence from Sensory Data (MISD)<o:p></o:p></span></b></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>November 5-8, 2018<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>Leuven, Belgium <o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><a href="https://easychair.org/cfp/misd2018">https://easychair.org/cfp/misd2018</a><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>------------------------------------------------------------------------<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'> <o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>We are pleased to invite you to submit original contributions to <b>MISD 2018</b> via the official submission system at </span><a href="https://easychair.org/conferences/?conf=misd2018" target="_blank"><span style='font-size:10.0pt;line-height:105%;font-family:"Verdana",sans-serif;color:#EE0000'>https://easychair.org/conferences/?conf=misd2018</span></a>. <span style='font-family:"Times New Roman",serif'> MISD 2018 intends to provide a leading edge, scholarly forum for researchers, engineers, and students alike to share their state-of-the-art research and developmental work in the broad areas of Mining Intelligence from Sensory Data. MISD will be held in Leuven, Belgium (5-8 November 2018) in conjunction with the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018).<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><b><u><span style='font-family:"Times New Roman",serif'>Important Dates<o:p></o:p></span></u></b></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>- Paper Submission Due: July 30, 2018<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>- Acceptance Notification: August 15, 2018<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>- Final Manuscript Due: September 8, 2018<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><b><u><span style='font-family:"Times New Roman",serif'>Scope<o:p></o:p></span></u></b></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>This symposium aims to bring together researchers and practitioners working on different aspects of machine learning, data mining and sensor networks technologies in an effort to highlight the state-of-the-art and discuss the challenges and opportunities to explore new research directions.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>MISD aims to bring together people from both academia and industry for original discussions and to prompt future directions in the development of new techniques and strategies for sensory data. <o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><b><u><span style='font-family:"Times New Roman",serif'>Topics<o:p></o:p></span></u></b></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>The topics of interest include, but are not limited to:<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoListParagraphCxSpFirst style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Applications and deployment experiences on mining sensory data<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Applications of data mining for senor networks in business, science, engineering, medicine, and other disciplines with particular attention to lessons learned.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Data mining approaches to overcome sensor limitations such as available energy for transmission, computational power, memory, and communications bandwidth.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Data mining approaches to overcome sensor limitations such as available energy for transmission, computational power, memory, and communications bandwidth.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Data mining processes including data selection, sampling, cleaning, reduction, transformation, integration and aggregation, as well as model development, validation and deployment.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Data processing, storage and management for WSN<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Detection, classification, and tracking of sensory information<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Distributed algorithms and reasoning of sensory data<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Distributed and collaborative signal processing for WSN<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Distributed Bayesian learning (belief networks, decision networks)<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Distributed clustering methods (distributed k-Means, dynamic neural networks)<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Distributed machine learning (neural networks, support vector machines, decisions trees and rules, genetic algorithms) in sensor networks<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Distributed Principal Component Analysis (PCA) and Independent Component Analysis (ICA)<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Distributed statistical regression methods in sensor networks.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Efficient, scalable and distributed algorithms for large-scale DDM tasks such as classification, prediction, link analysis, time series analysis, clustering, and anomaly detection.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Fault tolerance and identification in WSN<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Fundamental bounds and formulations of intelligence in WSN<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Incremental, exploratory and interactive mining.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Location, time, and other network services for WSN<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Mining of data streams.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Mining security violations and patterns for WSN<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Network health monitoring and management for WSN<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Network protocols for WSN<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Operating systems and runtime environments<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Power consumption characteristics of distributed data mining algorithms and developing data mining algorithms to minimize power consumption.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Privacy sensitive data mining.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Programming models and languages<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Sensor tasking, control, and actuation<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Simulation of WSN<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Software agents approaches.<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Theoretical foundations in data mining and sensor network; extensions of computational learning theory to sensor networks.<o:p></o:p></span></p><p class=MsoListParagraphCxSpLast style='margin-bottom:0in;margin-bottom:.0001pt;mso-add-space:auto;text-align:justify;text-indent:-.25in;mso-list:l0 level1 lfo2'><![if !supportLists]><span style='font-family:Wingdings'><span style='mso-list:Ignore'>§<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Times New Roman",serif'>Visual data mining for sensory data.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><b><u><span style='font-family:"Times New Roman",serif'>Paper Format<o:p></o:p></span></u></b></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>The submitted paper must be formatted according to the guidelines of Procedia Computer Science, MS Word Template, Elsevier.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><b><u><span style='font-family:"Times New Roman",serif'>Paper Length<o:p></o:p></span></u></b></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>Submitted technical papers must be no longer than 6 pages for full papers, including all figures, tables and references.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><b><u><span style='font-family:"Times New Roman",serif'>Paper Submission<o:p></o:p></span></u></b></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>Authors are requested to submit their papers electronically using the online conference management system in PDF format before the deadline.<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>The submission processes will be managed by easychair.org. If you have used this system before, you can use the same username and password. If this is your first time using EasyChair, you will need to register for an account by clicking “I have no EasyChair account” button. Upon completion of registration, you will get a notification email from the system and you are ready for submitting your paper. You can upload and re-upload the paper to the system by<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><b><u><span style='font-family:"Times New Roman",serif'>Publication<o:p></o:p></span></u></b></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'>All MISD 2018 accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier on <a href="http://www.Elsevier.com">www.Elsevier.com</a> and on Elsevier content platform ScienceDirect (<a href="http://www.sciencedirect.com">www.sciencedirect.com</a>), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (<a href="http://www.scopus.com">www.scopus.com</a>) and by Thomson Reuters' Conference Proceeding Citation Index (<a href="http://thomsonreuters.com/conference-proceedings-citation-index/">http://thomsonreuters.com/conference-proceedings-citation-index/</a>). All papers in Procedia will also be indexed by Scopus (<a href="http://www.scopus.com">www.scopus.com</a>) and Engineering Village (Ei) (<a href="http://www.engineeringvillage.com">www.engineeringvillage.com</a>). This includes EI Compendex (<a href="http://www.ei.org/compendex">www.ei.org/compendex</a>). Moreover, all accepted papers will be indexed in DBLP (<a href="http://dblp.uni-trier.de/">http://dblp.uni-trier.de/</a>). The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings. Selected papers will be invited for publication, in the following special issues:<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><b><u><span style='font-family:"Times New Roman",serif'>Organizing committee<o:p></o:p></span></u></b></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'> Haroon Malik, Marshall University, USA<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify'><span style='font-family:"Times New Roman",serif'> Elhadi Shakshuki, Acadia University, Canada<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Times New Roman",serif;color:black'><o:p> </o:p></span></p></div></body></html>