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The 3rd IEEE International Conference on Data Science and Systems (DSS =
2017)
Bangkok, Thailand
December 18 - 20, 2017
http://hpcl.seas.gwu.edu/dss2017/ <http://hpcl.seas.gwu.edu/dss2017/>
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INTRODUCTION
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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.
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.
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.
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).
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SCOPE AND TOPICS
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A. Data Science
=E2=80=A2 Foundational theories and models of data science
=E2=80=A2 Foundational algorithms and methods for big data
=E2=80=A2 Data classification and taxonomy
=E2=80=A2 Data metrics and metrology
=E2=80=A2 Machine learning and deep learning
=E2=80=A2 Data analytics
=E2=80=A2 Data provenance
=E2=80=A2 Fault tolerance, reliability, and availability
=E2=80=A2 Security, privacy and trust in Data
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B. Data Processing Technology
=E2=80=A2 Data sensing, fusion and mining
=E2=80=A2 Data representation, dimensionality reduction, processing and =
proactive service layers
=E2=80=A2 Data capturing, management, and scheduling techniques
=E2=80=A2 Stream data processing and integration
=E2=80=A2 Knowledge discovery from multiple information sources
=E2=80=A2 Statistical, mathematical and probabilistic modeling and =
theories
=E2=80=A2 Information visualization and visual data analytics
=E2=80=A2 Information retrieval and personalized recommendation
=E2=80=A2 Parallel and distributed data storage and processing =
infrastructure
=E2=80=A2 MapReduce, Hadoop, Spark, scalable computing and storage =
platforms
=E2=80=A2 Security, privacy and data integrity in data sharing, =
publishing and analysis
=E2=80=A2 Replication, archiving, preservation strategies
=E2=80=A2 Stream data computing
=E2=80=A2 Meta-data management
=E2=80=A2 Remote data access
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C. Data Systems
=E2=80=A2 Storage and file systems
=E2=80=A2 High performance data access toolkits
=E2=80=A2 Programming models, abstractions for data intensive computing
=E2=80=A2 Compiler and runtime support
=E2=80=A2 Future research challenges of data intensive systems
=E2=80=A2 Real-time data intensive systems
=E2=80=A2 Network support for data intensive systems
=E2=80=A2 Challenges and solutions in the era of multi/many-core =
platforms
=E2=80=A2 Green (power efficient) data intensive systems
=E2=80=A2 Data intensive computing on accelerators and GPUs
=E2=80=A2 Productivity tools, performance measuring and benchmark for =
data intensive systems
=E2=80=A2 Big Data, cloud computing and data intensive systems
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D. Data Applications
=E2=80=A2 HPC system architecture, programming models and run-time =
systems for data intensive applications
=E2=80=A2 Innovative applications in business, finance, industry and =
government cases
=E2=80=A2 Data-intensive applications and their challenges
=E2=80=A2 Innovative data intensive applications such as health, energy, =
cybersecurity, transport, food, soil and water, resources, advanced =
manufacturing, environmental Change, and etc.
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IMPORTANT DATES
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=C2=B7 Paper Submission Deadline: June 15, 2017
=C2=B7 Authors Notification: August 15, 2017
=C2=B7 Camera-Ready Paper Due: September 15, 2017
=C2=B7 Early Registration Due: September 15, 2017
=C2=B7 Conference Date: December 18 - 20, 2017
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PAPER SUBMISSION GUIDELINE
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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.
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PUBLICATIONS
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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.
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.=
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