[dbjapan] 論文募集：D2D2016 (Laguna Hills, California, US, Feb 3-5, 2016) - 11/18締切

[Jianquan Liu <ljq [at] dblab.is.tsukuba.ac.jp>]

日本データベース学会の皆様
（重複して受け取られた場合はご容赦ください）

NECの劉です．
お世話になっております．

来年2月にアメリカのカリフォルニアで開催される Data to Decision (D2D2016)
国際ワークショップの論文募集をご案内させて頂きます．締切は11/18です．

皆様からのご投稿をお待ちしております．

D2D2016は，The 10th International Conference on Semantic Computing
(ICSC2016) と併設で新しく立ち上げた国際ワークショップです．D2D2016では，
現在はやっている AI 処理のために，その前段階でのデータ処理に関する研究ト
ピックを取り上げています．Dataの前処理から，AI処理を通して，Decisionを出
すまでの一連の処理フローに関わる話題を幅広く扱っています．

皆様の手頃の研究成果がありましたら，ぜひ投稿をご検討頂ければ幸いです．



------------------------------------------------------------------------
Please accept our apologies if you receive multiple copies of the CFP.
------------------------------------------------------------------------
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 18, 2015
- Notification to authors: Dec 11, 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

-- 
Jianquan LIU, Ph.D. (j-liu [at] ct.jp.nec.com)
Assistant Manager
http://jpn.nec.com/rd/spp/
Scalable Processing Platform Technology Group,
Green Platform Research Laboratories,
NEC Corporation