[image 01483] CfP for First International Workshop on Data to Decision (D2D 2016)

[Masakazu Iwamura]

image-MLの皆様、Document-MLの皆様

大阪府立大学の岩村です。

国際ワークショップFirst International Workshop on Data to Decision (D2D
2016)のご案内です。
トピックはデータベース関係を始め、マルチメディアなど、この分野に関係した
ものも含まれています。
投稿をご検討いただければ幸いです。
投稿締切は11月1日です。


  Masakazu Iwamura, Ph.D.
	Associate Professor
	Dept. of Computer Science and Intelligent Systems
	Graduate School of Engineering
	Osaka Prefecture University
	1-1 Gakuencho, Naka, Sakai, Osaka 599-8531, Japan
	Tel  : +81-72-254-9277     Fax  : +81-72-254-8291
	Web: http://imlab.jp/~masa/


------------------------------------------------------------------------
CALL FOR PAPERS


The First International Workshop on Data to Decision (D2D 2016)
http://ssrg.nicta.com.au/Events/conferences/D2D2016/

@ Laguna Hills, California, USA.  Feb 3-5, 2016.
In conjunction with The 10th International Conference on Semantic
Computing (ICSC2016)


Overview
--------
Computing and networking, data collection and analytics have been
booming in the recent decades to manifest the coming Big Data era.
Nowadays, more and more data are being collected and analyzed by
organizations to make critical decisions. However, many challenges
remain to be addressed.

One challenge is that it is not easy to track which versions of a data
set flow through which versions of the cleaning, transformation and
analytics to produce the decisions, especially with constantly updating
heterogeneous data sources, complex human-in-the loop data wrangling,
and sometimes non-reproducible black-box data analytics and version
control of big data;

Another challenge is to support data scientists to easily explore
subsets of data locally, to share reproducible versions of their
exploration in the team, and finally to transform the successful
versions into large-scale deployment for continuously serving the
learned insights and models of other decision-making systems.

Yet another challenge is to keep semantically and physically consistence
of views among distributed and multiple data stores. This can be seen
from many real-life examples. In the machine learning and data mining
community, researchers require data to data and data to model links with
proper provenance of information. In the scientific computing community,
smart and efficient management of large amounts of data going through
various computation workflows with some degree of reproducibility is
also a must. In large scale distributed systems such as clouds, data
management tends to employ multi-store systems where global data are
split based on various criteria and then stored into distributed
multiple stores, thus making the maintenance of consistency difficult.

In this workshop, we bring together researchers and practitioners to
share their novel approaches and experiences of managing data to
decision "pipelines" in a production or exploration environment, the
transparency and trustworthiness of decision and data, data processing
and tracking for closing the gap between advanced computing and
platforms, and data management and engineering for newly emerging
challenges and topics.


Topics of interest
------------------
Topics of interest include, but are not limited to:

- Data to decision management
- Data transformation and analytics pipelines
- Workflow management in service and scientific computing
- Entity resolution/matching and schema matching
- (Big) Data provenance and lineage
- Data processing and tracking
- Semantic issues in data provenance
- Semantic issues in APIs
- Data management in data science, AI, data mining and machine learning
- Data management in exploration environments, production environments,
and the connection of the two
- Data and data computing platforms
- Service oriented architecture for data analytics pipelines
- Data analytics as services
- Trustworthiness of data and analytics
- Reproducible data analytics and decisions
- Traceability from decisions to data
- Understanding and explaining of decisions
- Mining and analysis of contracts and e-contracts
- Entity matching
- Data analytics and pipelines
- Workflow management in service and scientific computing
- Transactions in web services
- Semantic issues in analysis and verification of APIs
- Data provenance and lineage
- Data automata
- Data semantics in multimedia processing
- Functional programming for data processing
- Approximate computing for big data
- Experiences and solutions for specific domains including security,
health, transportation, logistics, e-government, digital economy,
environment, computational physics and chemistry, astronomy, and other
branches and applications of data science


SUBMISSIONS
---------------
The submission and review process will be done using EasyChair
(https://easychair.org/conferences/?conf=d2d2016).

Submissions must be no longer than 6 pages (including everything) and adhere
to the IEEE Computer Society 8.5"x11" two-column camera-ready format. The
manuscript templates for MS Word and LaTeX can be found at the following
link:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html

All papers will be peer-reviewed by at least 3 PC members and evaluated
based
on originality, technical quality and relevance to the workshop.


IMPORTANT DATES
---------------
- Workshop paper submissions: Nov 1, 2015
- Notification to authors: Dec 1, 2015
- Camera-ready: Jan 10, 2016


General Co-Chairs
-----------------
- Liming Zhu, Data61/CSIRO/University of New South Wales/The University
of Sydney, Australia
- Jagan Sankaranarayanan, NEC Labs America, USA


Program Committee
-----------------
- Daniel W. Sun (Chair), Data61/CSIRO, Australia
- Joseph Antony, Australian National University, Australia
- Alan Fekete, University of Sydney, Australia
- Masakazu Iwamura, Osaka Prefecture University, Japan
- Ian Gorton, Northeastern University, USA
- Guoqiang Li, Shanghai Jiao Tong University, China
- Rong-Hua Li, Shenzhen University, China
- Baiyang Liu, Facebook, USA
- Min Luo, NTT, Japan
- Adam Jatowt, Kyoto University, Japan
- Jason X. Jin, PayPal Inc., USA
- Jianquan Liu, NEC Central Research Labs, Japan
- Baoning Niu, Taiyuan University of Technology, China
- Leon Osterwell, University of Massachusetts Amherst, USA
- Oliver Obst, Data61/CSIRO, Australia
- Jianbin Qin, University of New South Wales, Australia
- Rajiv Ranjan, Newcastle University, U.K.
- Salman Shaikh, University of Tsukuba, Japan
- Chih-Hua Tai, National Taipei University, Taiwan
- Nenad Tomasev, Google, USA
- Tatsuhiro Tsuchiya, Osaka University, Japan
- Damien Watkins, Data61/CSIRO, Australia
- Jianwen Xiang, Wuhan University of Technology, China
- Bin Yang, Rakuten Institute of Technology, Japan


Organizing Committee
--------------------
- Daniel W. Sun, Data61/CSIRO/University of New South Wales, Australia
- Jianquan Liu, NEC Central Research Labs, Japan