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, 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. 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.

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. 2019 is the 5th event following the success in 2015 (DSDIS-2015), 2016 (DSS-2016), 2017 (DSS-2017) and 2018 (DSS-2018).

DSS-2019 will be hosted in Zhangjiajie. It is the first national forest park in China and one of the most important tourist cities in China. It is located in the northwest of Hunan province, about 400 kilometers away from Changsha, the capital of Hunan province, covering a total area of 9,563 square kilometers, of which 76% are mountainous area. Zhangjiajie was listed into the World Natural Heritage Catalogue by the UNESCO in 1992. Zhangjiajie was awarded the title of “World Geological Park” in 2004.

SCOPE AND TOPICS

Topics of interest include, but are not limited to:

I. Data Science

Foundational theories and models of data science
Foundational algorithms and methods for big data
Data classification and taxonomy
Data metrics and metrology
Machine learning and deep learning
Data analytics
Data provenance
Fault tolerance, reliability, and availability
Security, privacy and trust in Data


II. Data Processing Technology

Data sensing, fusion and mining
Data representation, dimensionality reduction, processing and proactive service layers
Data capturing, management, and scheduling techniques
Stream data processing and integration
Knowledge discovery from multiple information sources
Statistical, mathematical and probabilistic modeling and theories
Information visualization and visual data analytics
Information retrieval and personalized recommendation
Parallel and distributed data storage and processing infrastructure
MapReduce, Hadoop, Spark, scalable computing and storage platforms
Security, privacy and data integrity in data sharing, publishing and analysis
Replication, archiving, preservation strategies
Stream data computing
Meta-data management
Remote data access


III. Data Systems

Storage and file systems
High performance data access toolkits
Programming models, abstractions for data intensive computing
Compiler and runtime support
Future research challenges of data intensive systems
Real-time data intensive systems
Network support for data intensive systems
Challenges and solutions in the era of multi/many-core platforms
Green (power efficient) data intensive systems
Data intensive computing on accelerators and GPUs
Productivity tools, performance measuring and benchmark for data intensive systems
Big Data, cloud computing and data intensive systems


IV. Data Applications

HPC system architecture, programming models and run-time systems for data intensive applications
Innovative applications in business, finance, industry and government cases
Data-intensive applications and their challenges
Innovative data intensive applications such as health, energy, cybersecurity, transport, food, soil and water, resources, advanced manufacturing, environmental Change, and etc.


PAPER SUBMISSION GUIDELINE

All papers need to be submitted electronically through the conference submission website (https://easychair.org/conferences/?conf=dss2019) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page:
http://www.computer.org/web/cs-cps/

Manuscript Templates for Conference Proceedings can be found at:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html
Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference.