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Extended Deadline till May 31. Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL'2018)

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Extended Deadline till May 31. Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL'2018)
от Роман Станиславович Самарев - Четверг, 17 Май 2018, 12:38

Последняя возможность подать статью на осеннюю международную конференцию DAMDID/RCDL’2018, посвященную вопросам сбора, анализа и обработки данных!!!

Студенты и аспиранты, пользуйтесь возможностью подать статьи о текущих, ещё не завершенных исследованиях, в PhD Workshop и получить опыт выступления на конференциях с рабочим английским языком, а также получить реальный отзыв о научной работе.

XX International Conference on Data Analytics and Management in Data Intensive Domains DAMDID/RCDL’2018 - Deadline Extension till May 31, 2018
Moscow State University, October 9 - 12, 2018

Call for Contributions

Aims and scope. 
Exponential growth of data practically in all human activity areas, 
consolidating role to be played by informatics and IT for the development
of methods and facilities for data analysis and management in various data 
intensive domains (DID), study of experience in applying these methods and 
stimulating  their advancement have motivated organization of this conference. 
Main objective of this conference is to promote the acceleration of 
researches, improvement of their efficiency (quality and visibility of 
results, competitive ability) at the expense of the enhancement of methods
and facilities for data analysis and management in DID. It is expected that 
the mutual complementarity of approaches in interdisciplinary DID will 
contribute to the creation of the corporate culture generalizing methods for
data analysis and infrastructures development applicable in diverse DID.

Target audience. 
DAMDID conference is a multidisciplinary forum of researchers and practitioners
from various domains of science and research promoting cooperation and exchange
of ideas in the area of data analysis and management in DID (domain is data 
intensive if its development is induced by elaboration of data that not 
necessarily might be “Big”). For participation at the conference the specialists
from such DID as X-informatics (where X = astro, bio, chemo, geo, medicine,
neuro, physics, etc.), social science, economy, etc., as well from the areas 
of statistics, informatics, data mining, machine learning, data science, new
technologies and IT, business, etc. are invited.

Host organizers
- Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences (FRC CSC RAS)
- Lomonosov Moscow State University
- Moscow ACM SIGMOD Chapter

The XX International Conference “Data Analytics and Management in Data Intensive Domains” (DAMDID/RCDL’2018) 
will be held during 9 - 12 October 2018 in Moscow at the Lomonosov Moscow State University.
 Information on transport and accommodation can be found at the website. 
 Two days before and after the conference it is planned also to organize meetings and
 discussions with the conference participants at the institutes of the RAS, 
 Moscow State University, along with some social programs in Moscow.

Important dates
- Submission deadline for papers May 31, 2018
- Notification of acceptance June 29, 2018
- Deadline for camera-ready versions of the accepted papers August 03, 2018
- Conference October 9 - 12, 2018

Categories of submissions. 
The conference structure will include the plenary keynotes and tutorials presented 
by the leading researchers, regular sessions containing regular and short 
presentations of the research results obtained in various conference tracks, 
as well as demo/poster sessions. English is the official language of the conference. 
For young researchers the PhD Workshop is planned. Co-located with the conference 
the Satellite events are also planned including workshops (open and by invitation) 
and invited sessions. Paper submission rules and templates can be found at the website.

Conference topics. 
The open list of topics proposed for submission is organized in form of the 
tracks presented in the list given below (detailed characterization of each 
track can be found at the website).

Tracks of the sphere for data analytics and problem solving in DID
- Peculiarities of data in DID
- Problem statement and solving in DID
- Organization of experiments in DID
- Hypotheses and models (as constituents of research experiments in DID)
- Advanced data intensive analysis methods and procedures
- Conceptual modeling of a universe of discourse in DID
- Application of data intensive analysis in DID research

Tracks of the sphere for data management in DID
- Data integration in DID
- Data extraction from texts
- Research data infrastructures and their applications in DID
- Semantic Web role in DID

Conference Proceedings. 
Conference Proceedings will be published locally before the conference 
as a collection of full texts of all accepted by the Program Committee 
regular and short papers, abstracts of posters and demos. Soon after the 
conference the texts of regular papers presented at the conference will 
be submitted for online publishing in a volume of the European repository 
of the CEUR Workshop Proceedings, as well as for indexing the volume 
content in EDBT and Scopus. Furthermore, a volume of post-conference 
proceedings with up to one third selected and extended papers published 
before in CEUR WS will be published with Springer in their Communications 
in Computer and Information Science series. Each paper selected for the 
CCIS post-conference volume should be modified as follows: the title of 
each paper should be a new one; paper should be significantly extended 
(with at least 30 percent of new content); the paper should refer to 
its original version in CEUR-WS. CCIS is abstracted/indexed in DBLP, 
Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, and Scopus. 
DAMDID/RCDL has been publishing with Springer in CCIS since 2016.

Program Committee Co-chairs
Leonid Kalinichenko, Federal Research Center “Computer Science and Control” of RAS, Russia
Yannis Manolopoulos, Open University of Cyprus, Greece