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 recognised 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 intensive
systemsare posing
many challenges in exploitingparallelism of current and
upcoming computer architectures.
Data volumesof applications in the fields
of sciences and engineering,
finance,
media, online information resources,
etc. are expected to double everytwo years over the next
decade and
further. With this continuing dataexplosion, it is necessary to
store and process data efficiently
by
utilizing enormous computing power.
The
importance of data intensive
systems
hasbeen
raising and will continue to be the
foremost fields of research.This raise brings up many
research issues, in forms of
capturing andaccessing data effectively
and fast, processing it while still
achieving
high performance and high
throughput, and storing it
efficiently forfuture use.
Innovative
programming models, high performance
scalable computing platforms,
efficient storage systems and
expression of data requirements are
at immediate need.
DSDIS
(Data Science and
Data Intensive 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 Intensive Systems as
well as their synergy.