Call for Papers: 12th International Conference on Data Warehousing and
Knowledge Discovery (DaWaK 2010),

 

August 30 - September 3 2010, Bilbao, Spain.

 

http://www.dexa.org/dawak 

 

Data Warehousing and Knowledge Discovery has been widely accepted as a key
technology for enterprises and organisations 

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 2010),
builds on this tradition of facilitating 

the cross-disciplinary exchange of ideas, experience and potential research
directions. DaWaK 2010 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

 

As a new development in 2010, DaWaK is organized into 4 tracks, each with a
distinct focus and headed by a separate track chair:

 

The four tracks, and their main topics are as follows:

 

Cloud Intelligence Track: Track Chair Torben Bach Pedersen

-              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: Track Chair Alfredo Cuzzocrea

-              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 Chair A Min Tjoa 

-              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: Track Chair Mukesh Mohania

-              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 DaWaK2010 conference will be invited to
submit an 

extension for a special issue of a journal. Authors are requested to send
the abstract of their paper to be 

received by March 19, 2010, due date of the full paper electronic submission
is March 26, 2010.

 

For further inquiries, contact the DaWaK 2010 PC Co-Chairpersons: Dr. Mukesh
Mohania (mkmukesh@in.ibm.com), 

Prof. Torben Bach Pedersen (tbp@cs.aau.dk), or Prof. A Min Tjoa
(amin.tjoa@ifs.tuwien.ac.at)

 

IMPORTANT DATES

-              Submission of abstracts: March 19, 2010

-              Submission of full papers: March 27, 2010 

-              Notification of acceptance: May 17, 2010

-              Camera-ready copies due: June 10, 2010

 

Program Chairs

-              Torben Bach Pedersen, Aalborg University, Denmark 

-              Mukesh Mohania, IBM India Research Lab, India

-              A Min Tjoa, Vienna University of Technology, Austria 

 

Publicity Chair

-             Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy

 

Program Committee

 

TBD