From: "Nguyen Manh Tho" 


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8th International Conference on Data Warehousing and Knowledge Discovery 
                           (DaWaK 2006)
               Krakow, Poland, 4 - 8 September 2006
                        http://www.dexa.org
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Call for Papers
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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 exponential 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. 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 2006), builds
on
this tradition of facilitating the cross-disciplinary exchange of ideas, 
experience and potential research directions. DaWak 2006 seeks to
introduce
innovative principles, methods, algorithms and solutions to challenging 
problems faced in the development of data warehousing, knowledge discovery
and data mining applications. 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, mining natural science data (e.g. bioinformatics, geophysics)

Major Tracks: 
-------------
Topics of interest include in these tracks but are not limited to:

Data Warehousing: 
-----------------
* Analytical front-end tools for data warehousing/OLAP
* Active/real-time data warehousing
* Data warehouse architecture
* Web/multimedia data warehouses
* Data extraction, cleansing, transforming and loading
* Spatial and spatiotemporal data warehouses 
* Data warehouse maintenance and evolution
* Data warehousing in mobile/wireless environments
* Data warehouse design (conceptual, logical and physical)
* Data warehousing and the semantic web
* Data warehousing consistency and quality
* Data warehouse schema evolution and transformations
* Data warehousing with unstructured data (e.g., text) and semi-structured
  data (e.g., XML)
* Design and maintenance of metadata repository 
* Data warehouse security and reliability
* Data warehousing applications: corporate, scientific, government, 
  healthcare, bioinformatics, etc.
* Parallel /distributed data warehousing 
* View maintenance/adaptation
* Frameworks for Business Process Management (BPM) and Business 
  Intelligence (BI)
* Performance optimization and tuning
* Multidimensional modelling and queries
* Data warehousing and industry applications (e.g. ERP, CRM)
* Integration of data warehouses and data mining

Knowledge Discovery: 
--------------------
* Knowledge discovery framework and process
* Security, privacy and social impact of data mining
* Integration constraints and knowledge in KDD process
* Mining unstructured and structured data.
* Data and knowledge representation
* 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
* Mining temporal, spatial and multimedia data.
* Data mining techniques: clustering, classification, association rules, 
  decision trees, neural-network, etc.
* Mining large/complex datasets, continuous data streams, sensor networks
* Data mining support for the design of information systems 
* Mining ubiquitous, moving, time-series data
* Integration of data warehousing, OLAP and data mining 
* Mining Trends, Opportunities and Risks
* Languages and interfaces for data mining
* Distributed and parallel data mining/knowledge discovery
* Mining from low-quality information sources
* High performance and parallel/distributed data mining
* Complexity, efficiency, and scalability in data mining. 
* Pre-processing and post-processing of data mining
* Data mining applications: bioinformatics, E-commerce, Web, 
  intrusion/fraud detection, finance, healthcare, marketing, 
  telecommunications, etc .

Paper Submission Details: 
-------------------------
Authors are invited to submit research and application papers, not 
exceeding 5000 words, representing original, previously unpublished work.
Papers that substantially exceed this limit will be rejected without 
review. However, it is possible to include additional, clarifying material
in an appendix to the paper. 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. Paper submissions in LNCS 
format (http://www.springer.de/comp/lncs/authors.html) would be highly 
appreciated. The maximum number of pages for the final version will be 10
pages. 

As the last year, authors of best papers selected from DaWaK2006
conference
will be invited to submit an extension for a special issue of an 
International Journal. Authors are requested to send the abstract of their
paper to be received by April 1st 2006,due date of the full paper 
electronic submission is April 10th 2006.

+-----------------+
| IMPORTANT DATES |
+-----------------+
Submission of abstracts: April 1, 2006 
Submission of full papers: April 10, 2006 
Notification of acceptance: May 20, 2006 
Camera-ready copies due: June 10, 2006 

+----------------+
| PROGRAM CHAIRS |
+----------------+
A Min Tjoa (Vienna University of Technology, Austria)
Juan Trujillo (University of Alicante, Spain)

For further inquiries, please contact: 
DaWaK 2006 Organizer Dr. Nguyen Manh Tho (tho@ifs.tuwien.ac.at)