==========================================================
Call for Papers
==========================================================

13th International Conference on Data Warehousing and Knowledge 
Discovery - DaWaK 2011
Toulouse, France

August 29 - September 2, 2011

==========================================================

Data Warehousing and Knowledge Discovery has been widely accepted as a 
key technology for enterprises and organizations to improve their 
abilities in data analysis, decision support, and the automatic 
extraction of knowledge from data. With the exponentially growing amount 
of information to be included in the decision making process, the data 
to be considered becomes more and more complex in both structure and 
semantics. New developments such as cloud computing add to the 
challenges with massive scaling, a new computing infrastructure, and new 
types of data. Consequently, the process of retrieval and knowledge 
discovery from this huge amount of heterogeneous complex data builds the 
litmus-test for the research in the area.

During the past years, the International Conference on Data Warehousing 
and Knowledge Discovery (DaWaK) has become one of the most important 
international scientific events to bring together researchers, 
developers and practitioners to discuss latest research issues and 
experiences in developing and deploying data warehousing and knowledge 
discovery systems, applications, and solutions. This year’s conference 
(DaWaK 2011), builds on this tradition of facilitating the 
cross-disciplinary exchange of ideas, experience and potential research 
directions. DaWaK 2011 seeks to introduce innovative principles, 
methods, algorithms and solutions to challenging problems faced in the 
development of data warehousing, knowledge discovery, data mining 
applications, and the emerging area of "cloud intelligence".

Submissions presenting current research work on both theoretical and 
practical aspects of data warehousing and knowledge discovery are 
encouraged. Particularly, we strongly welcome submissions dealing with 
emerging real world applications such as real-time data warehousing, 
analysis of spatial and spatiotemporal data, OLAP mining, mobile OLAP, 
and mining science data (e.g. bioinformatics, geophysics).
Major Tracks:

Following the new development of DaWaK 2010, in 2011 DaWaK is again 
organized into 4 tracks, each with a distinct focus. The four tracks, 
and their main topics are as follows:

Cloud Intelligence Track:
-------------------------

* Massive data analytics: algorithms, techniques, and systems
* Scalability and parallelization for cloud intelligence: map-reduce and 
beyond
* Analytics for the cloud infrastructure
* Analytics for unstructured, semi-structured, and structured data
* Semantic web intelligence
* Analytics for temporal, spatial, spatio-temporal, and mobile data
* Analytics for data streams and sensor data
* Analytics for multimedia data
* Analytics for social networks
* Real-time/right-time and event-based analytics
* Privacy and security in cloud intelligence
* Reliability and fault tolerance in cloud intelligence

Data Warehousing Track:
------------------------

* Analytical front-end tools for DW and OLAP
* Data warehouse architecture
* Data extraction, cleansing, transforming and loading
* Data warehouse design (conceptual, logical and physical)
* Multidimensional modelling and queries
* Data warehousing consistency and quality
* Data warehouse maintenance and evolution
* Performance optimization and tuning
* Implementation/compression techniques
* Data warehouse metadata

Knowledge Discovery Track:
--------------------------

* Data mining techniques: clustering, classification, association rules, 
decision trees, etc.
* Data and knowledge representation
* Knowledge discovery framework and process, including pre- and 
post-processing
* Integration of data warehousing, OLAP and data mining
* Integrating constraints and knowledge in the KDD process
* Exploring data analysis, inference of causes, prediction
* Evaluating, consolidating, and explaining discovered knowledge
* Statistical techniques for generation a robust, consistent data model
* Interactive data exploration/visualization and discovery
* Languages and interfaces for data mining
* Mining Trends, Opportunities and Risks
* Mining from low-quality information sources

Industry and Applications Track:
---------------------------------

* Data warehousing tools
* OLAP and analytics tools
* Data mining tools
* Industry experiences
* Data warehousing applications: corporate, scientific, government, 
healthcare, bioinformatics, etc.
* Data mining applications: bioinformatics, E-commerce, Web, 
intrusion/fraud detection, finance, healthcare, marketing, 
telecommunications, etc
* Data mining support for designing information systems
* Business Process Intelligence (BPI)

----------------------------
Paper Submission Details
----------------------------
Authors are invited to submit research and application papers 
representing original, previously unpublished work. Papers should be 
submitted in PDF or Word format. Submissions must conform to Springer's 
LNCS format and should not exceed 12 pages (including all text, figures, 
references and appendices). Authors who want to buy extra pages may 
submit a paper up to 15 pages with the indication that the authors will 
purchase extra pages if the paper is accepted. Submissions which do not 
conform to the LNCS format and/or which do exceed 12 pages (or up to 15 
pages with the extra page purchase commitment) will be rejected without 
reviews. Submitted papers will be carefully evaluated based on 
originality, significance, technical soundness, and clarity of 
exposition. All accepted papers will be published in Lecture Notes in 
Computer Science (LNCS) by Springer-Verlag.

Duplicate submissions are not allowed. A submission is considered to be 
a duplicate submission if it is submitted to other 
conferences/workshops/journals or it has been already accepted to be 
published in other conferences/workshops/journals. Duplicate submissions 
thus will be automatically rejected without reviews. Submissions require 
explicit consent from all listed authors.

Authors of best papers selected from DaWaK 2011 conference will be 
invited to submit an extension for a special issue of LNCS Transactions 
on Large-Scale Data- and Knowledge-Centered Systems, edited by 
Springer-Verlag. Authors are requested to send the abstract of their 
paper to be received by March 19, 2011, due date of the full paper 
electronic submission is March 27, 2011.

-----------------
Important Dates
-----------------
* Submission of abstracts: March 19, 2011
* Submission of full papers: March 27, 2011
* Notification of acceptance: May 17, 2011
* Camera-ready copies due: June 10, 2011

---------------
Program Chairs
---------------

* Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy
* Umeshwar Dayal, Hewlett-Packard Laboratories, Palo Alto, CA, USA

------------------
Program Committee
------------------

TBD

For further inquiries, contact the DaWaK 2011 PC Co-Chairpersons: 
Alfredo Cuzzocrea (cuzzocrea@si.deis.unical.it), or Umeshwar Dayal 
(Umeshwar.Dayal@hp.com)


---------------------------------------------------------------------
To unsubscribe, e-mail: computational.science-unsubscribe@lists.iccsa.org
For additional commands, e-mail: computational.science-help@lists.iccsa.org