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DOLAP 2019 : Data Warehousing and OLAP

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Conference Series : Data Warehousing and OLAP
 
Link: http://www.cs.put.poznan.pl/events/DOLAP2019.html
 
When Mar 26, 2019 - Mar 26, 2019
Where Lisbon
Submission Deadline Oct 21, 2018
Notification Due Nov 21, 2018
Final Version Due Feb 17, 2019
Categories    big data   data warehousing   data management   data analytics
 

Call For Papers

DOLAP 2019
21st Int. Workshop On Design, Optimization, Languages
and Analytical Processing of Big Data
March 26, 2019
Lisbon, Portugal
http://www.cs.put.poznan.pl/events/DOLAP2019.html

Colocated with EDBT/ICDT 2019


Data Warehouse (DW) and Online Analytical Processing (OLAP) technologies are the core
of current Decision Support Systems. The widespread deployment of both DWs and OLAP
technologies is due to the intuitive representation of data and simple primitives
provided to data analysts or managers in support of management decisions. Research in
data warehousing and OLAP has produced important technologies for the design,
management, and use of information systems for decision support.

Business Intelligence (BI) of the future will be significantly different than what the
current state-of-the-practice supports. The trend is to move from the current decision
support systems that are "data presenting" to more dynamic systems that allow the semi-
automation of the decision making process. This means that the systems partially guide
their users towards data discovery, intuition, and system-aided decision making via
intelligent techniques and visualization. In the back stage, the thrust of the big data
era, with the requires that new methods, models, techniques, or architecture are needed
to cope with the increasing demand in capacity, data type diversity, and responsiveness.
And of course, this does not necessarily mean to re-invent the wheel, but rather, as
recommended by Gartner to companies regarding BD adoption, "Build on existing BI
programs - don't abandon or segregate them". We envision DOLAP 2018 as a venue where
novel ideas around these new landscapes of business intelligence and big data are
fostered and nurtured and new exciting results are produced, in an attempt to build a
strong, vibrant community around these areas.

Important dates
--------------------------------------------------------------------------------------
Submission deadline: October 21, 2018
Notification after 1st round of reviews: November 21, 2018
Notification after 2nd round of reviews: January 20, 2019
Camera-Ready Due: February 17, 2019


Research topics include, but are not limited to:
--------------------------------------------------------------------------------------
Design and Languages
* Data warehousing fundamentals: architectures, design, ETL/ELT, multidimensional
modeling, query processing, DW maintenance, evolution, security, personalization and
privacy in data warehouses
* Warehousing and Variety: unstructured data (e.g., text), semi-structured data
(e.g., XML), multimedia, spatial, temporal, and spatio-temporal data warehouses,
stream and sensor data, semantic Web & deep Web in data warehouses, data lakes,
data quality, graph data management

Optimization
* Coping with Volume: physical organization of data warehouses, performance
optimization and tuning, scalability of DW, MapReduce in data warehouses,
performance optimization of ETL/ELT
* Coping with Velocity: DW deployment on parallel machine, database clusters, cloud
infrastructures for DW, smart grid, active/real-time analytics & data warehouses,
real-time queries

Analytical Processing and applications
* Analytics and Value: OLAP exploration through visualization, recommendation,
reformulation, approximate query-answering, personalization, result presentation,
data storytelling, graph analytics, process mining, advanced visualization for
business contexts
* Analytics and Veracity: heterogeneous data integration for analtyics, quality aspects
of OLAP analysis, exploration outcome and end-user experience, fairness of data
analysis, analytics and data driven decision making for the data enthusiasts
* Integration of analytics with machine learning, data mining, information retrieval,
search engines, predictive and prescriptive analytics
* Big Data applications: smart city, smart health, smart energy, etc.

Publication
--------------------------------------------------------------------------------------
Similarly as in previous years, the proceedings of DOLAP 2019 shall be submitted to
CEUR-WS.org for online publication (open access) and will be indexed by Citeseer,
DBLP, and Google Scholar.

Submission
--------------------------------------------------------------------------------------
Authors can submit:
* short papers (of maximum 5 pages) including vision, PhD, demos, and preliminary
works to be discussed with the community,
* long papers (of maximum 10 pages) including novel research contributions, an
architecture of a commercial system or solution, results of case studies and
experience report, survey papers, or on-going work on a challenging and emerging
area.

More information on the submission procedure (via EasyChair) and requirements
at: http://www.cs.put.poznan.pl/events/DOLAP2019-submission.html

Program Committee at: http://www.cs.put.poznan.pl/events/DOLAP2019-committee.html

Contact Information at: http://www.cs.put.poznan.pl/events/DOLAP2019-contact.html

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