<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><p class="MsoNormal" align="center" style="margin-bottom: 6pt; text-align: center; line-height: normal;"><a name="OLE_LINK1" class=""><span style="font-family: 'Times New Roman'; color: rgb(51, 51, 255);" class="">[Please accept our apologies if you receive multiple copies of this CFP]</span></a><span style="font-family: 'Times New Roman'; color: rgb(51, 51, 255);" class=""><o:p class=""></o:p></span></p><p class="MsoNormal" align="center" style="margin-bottom: 6pt; text-align: center; line-height: normal;"><span style="font-family: 'Times New Roman';" class="">******************************** I</span><span style="font-family: 'Times New Roman';" class="">EEE DSS-</span><span style="font-family: 'Times New Roman';" class="">2017 CFP *******************************<o:p class=""></o:p></span></p><p class="MsoNormal" align="center" style="margin-bottom: 0.0001pt; text-align: center; line-height: normal;"><b class=""><span style="font-family: 'Times New Roman';" class="">The 3rd IEEE International Conference on Data Science and Systems (DSS 2017)<o:p class=""></o:p></span></b></p><p class="MsoNormal" align="center" style="margin-bottom: 0.0001pt; text-align: center; line-height: normal;"><b class=""><span style="font-family: 'Times New Roman';" class="">Bangkok, Thailand<o:p class=""></o:p></span></b></p><p class="MsoNormal" align="center" style="margin-bottom: 0.0001pt; text-align: center; line-height: normal;"><b class=""><span style="font-family: 'Times New Roman';" class="">December 18 - 20, 2017<o:p class=""></o:p></span></b></p><p class="MsoNormal" align="center" style="margin-bottom: 0.0001pt; text-align: center; line-height: normal;"><a href="http://hpcl.seas.gwu.edu/dss2017/" class=""><b class=""><span style="font-family: 'Times New Roman';" class="">http://hpcl.seas.gwu.edu/dss2017/</span></b></a><b class=""><span style="font-family: 'Times New Roman';" class=""><o:p class=""></o:p></span></b></p><p class="MsoNormal" align="center" style="margin-bottom: 0.0001pt; text-align: center; line-height: normal;"><b class=""><span style="font-family: 'Times New Roman';" class=""> </span></b></p><div style="margin: 0cm 0cm 0.0001pt; text-align: justify;" class=""><span style="font-size: 11pt;" class="">INTRODUCTION<br class="">=============<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; text-align: justify; text-indent: 22.7pt;" class=""><span style="font-size: 11pt;" class="">In parallel with Petrol as a driving resource in this world, Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Gradually and steadily, it is being world-wide recognized that data and talents are playing key roles in modern businesses.<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; text-align: justify; text-indent: 22.7pt;" class=""><span style="font-size: 11pt;" class="">As an interdisciplinary area, Data Science draws scientific inquiry from a broad range of subject areas such as statistics, mathematics, computer science, machine learning, optimization, signal processing, information retrieval, databases, cloud computing, computer vision, natural language processing and etc. Data Science is on the essence of deriving valuable insights from data. It is emerging to meet the challenges of processing very large datasets, i.e. Big Data, with the explosion of new data continuously generated from various channels such as smart devices, web, mobile and social media.<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; text-align: justify; text-indent: 22.7pt;" class=""><span style="font-size: 11pt;" class="">Data Systems are posing many challenges in exploiting parallelism of current and upcoming computer architectures. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. With this continuing data explosion, it is necessary to store and process data efficiently by utilizing enormous computing power. The importance of data intensive systems has been raising and will continue to be the foremost fields of research. This raise brings up many research issues, in forms of capturing and accessing data effectively and fast, processing it while still achieving high performance and high throughput, and storing it efficiently for future use. Innovative programming models, high performance scalable computing platforms, efficient storage systems and expression of data requirements are at immediate need. <o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; text-align: justify; text-indent: 22.7pt;" class=""><span style="font-size: 11pt;" class="">DSS (Data Science and Systems) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Data Science and Data Systems as well as their synergy. 2017 is the 3rd event following the success in 2015 (DSDIS 2015) and 2016 (DSS 2016).<o:p class=""></o:p></span></div><div class=""><span style="font-size: 11pt; font-family: 'Times New Roman';" class=""> </span><br class="webkit-block-placeholder"></div><p class="MsoPlainText"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">SCOPE AND TOP</span><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">I</span><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">CS<o:p class=""></o:p></span></p><p class="MsoPlainText"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">================<o:p class=""></o:p></span></p><p class="MsoPlainText"><b class=""><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">A. Data Science<o:p class=""></o:p></span></b></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Foundational theories and models of data science<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Foundational algorithms and methods for big data<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Data classification and taxonomy<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Data metrics and metrology<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Machine learning and deep learning<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Data analytics <o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Data provenance<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Fault tolerance, reliability, and availability<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Security, privacy and trust in Data<o:p class=""></o:p></span></p><p class="MsoPlainText"><b class=""><span style="font-size: 11pt; font-family: 'Times New Roman';" class=""> </span></b></p><p class="MsoPlainText"><b class=""><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">B. Data Processing Technology<o:p class=""></o:p></span></b></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Data sensing, fusion and mining<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Data representation, dimensionality reduction, processing and proactive service layers<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Data capturing, management, and scheduling techniques<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Stream data processing and integration<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Knowledge discovery from multiple information sources<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Statistical, mathematical and probabilistic modeling and theories<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Information visualization and visual data analytics<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Information retrieval and personalized recommendation<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Parallel and distributed data storage and processing infrastructure<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• MapReduce, Hadoop, Spark, scalable computing and storage platforms<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Security, privacy and data integrity in data sharing, publishing and analysis<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Replication, archiving, preservation strategies<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Stream data computing<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Meta-data management<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Remote data access<o:p class=""></o:p></span></p><p class="MsoPlainText"><b class=""><span style="font-size: 11pt; font-family: 'Times New Roman';" class=""> </span></b></p><p class="MsoPlainText"><b class=""><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">C. Data Systems<o:p class=""></o:p></span></b></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Storage and file systems<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• High performance data access toolkits<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Programming models, abstractions for data intensive computing<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Compiler and runtime support<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Future research challenges of data intensive systems<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Real-time data intensive systems<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Network support for data intensive systems<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Challenges and solutions in the era of multi/many-core platforms<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Green (power efficient) data intensive systems<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Data intensive computing on accelerators and GPUs<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Productivity tools, performance measuring and benchmark for data intensive systems<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Big Data, cloud computing and data intensive systems<o:p class=""></o:p></span></p><p class="MsoPlainText"><b class=""><span style="font-size: 11pt; font-family: 'Times New Roman';" class=""> </span></b></p><p class="MsoPlainText"><b class=""><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">D. Data Applications<o:p class=""></o:p></span></b></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• HPC system architecture, programming models and run-time systems for data intensive applications<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Innovative applications in business, finance, industry and government cases<o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Data-intensive applications and their challenges <o:p class=""></o:p></span></p><p class="MsoPlainText" style="margin-left: 14.2pt;"><span style="font-size: 11pt; font-family: 'Times New Roman';" class="">• Innovative data intensive applications such as health, energy, cybersecurity, transport, food, soil and water, resources, advanced manufacturing, environmental Change, and etc.<o:p class=""></o:p></span></p><div style="margin-bottom: 0.0001pt; text-align: center; line-height: normal;" class=""><span style="font-family: 'Times New Roman';" class=""> </span><br class="webkit-block-placeholder"></div><div style="margin-bottom: 0.0001pt; text-align: center; line-height: normal;" class=""><br class="webkit-block-placeholder"></div><p class="MsoNormal" style="margin-bottom: 0.0001pt; line-height: normal;"><span style="font-family: 'Times New Roman';" class="">IMPORTANT DATES<br class="">================<o:p class=""></o:p></span></p><p class="MsoListParagraphCxSpFirst" style="margin-bottom: 0.0001pt; text-indent: -18pt; line-height: normal;"><span style="font-family: Symbol;" class="">·<span style="font-size: 7pt; line-height: normal; font-family: 'Times New Roman';" class=""> </span></span><span style="font-family: 'Times New Roman';" class="">Paper Submission Deadline: June 15, 2017<o:p class=""></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-bottom: 0.0001pt; text-indent: -18pt; line-height: normal;"><span style="font-family: Symbol;" class="">·<span style="font-size: 7pt; line-height: normal; font-family: 'Times New Roman';" class=""> </span></span><span style="font-family: 'Times New Roman';" class="">Authors Notification: August 15, 2017<o:p class=""></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-bottom: 0.0001pt; text-indent: -18pt; line-height: normal;"><span style="font-family: Symbol;" class="">·<span style="font-size: 7pt; line-height: normal; font-family: 'Times New Roman';" class=""> </span></span><span style="font-family: 'Times New Roman';" class="">Camera-Ready Paper Due: September 15, 2017<o:p class=""></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-bottom: 0.0001pt; text-indent: -18pt; line-height: normal;"><span style="font-family: Symbol;" class="">·<span style="font-size: 7pt; line-height: normal; font-family: 'Times New Roman';" class=""> </span></span><span style="font-family: 'Times New Roman';" class="">Early Registration Due: September 15, 2017<o:p class=""></o:p></span></p><p class="MsoListParagraphCxSpLast" style="margin-bottom: 0.0001pt; text-indent: -18pt; line-height: normal;"><span style="font-family: Symbol;" class="">·<span style="font-size: 7pt; line-height: normal; font-family: 'Times New Roman';" class=""> </span></span><span style="font-family: 'Times New Roman';" class="">Conference Date: December 18 - 20, 2017<o:p class=""></o:p></span></p><div style="margin-bottom: 0.0001pt; line-height: normal;" class=""><span lang="EN-US" style="font-family: 'Times New Roman';" class=""> </span><br class="webkit-block-placeholder"></div><p class="MsoNormal" style="margin-bottom: 0.0001pt; line-height: normal;"><span style="font-family: 'Times New Roman';" class="">PAPER SUBMISSION GUIDELINE<br class="">==========================<o:p class=""></o:p></span></p><div style="margin: 0cm 0cm 0.0001pt; text-align: justify; text-indent: 22.7pt;" class=""><span style="font-size: 11pt;" class="">Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site.<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; text-align: justify; text-indent: 22.7pt;" class=""><span style="font-size: 11pt;" class=""> </span></div><p class="MsoNormal" style="margin-bottom: 0.0001pt; line-height: normal;"><span style="font-family: 'Times New Roman';" class="">PUBLICATIONS<br class="">==========================<o:p class=""></o:p></span></p><div style="margin: 0cm 0cm 0.0001pt; text-align: justify; text-indent: 22.7pt;" class=""><span style="font-size: 11pt;" class="">Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS after the conference.<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; text-align: justify; text-indent: 22.7pt;" class=""><span style="font-size: 11pt;" class="">Distinguished papers presented at the conference, after further revision, will be published in special issues of Journal of Network and Computer Applications, Future Generation Computer Systems, Journal of Computer and System Sciences and IEEE Transactions on Emerging Topics in Computing.</span></div></body></html>