[Tccc] DaWaK 2013 Call f0or Ppaers

Prof. Roland Wagner rrwagneratfaw.at
Tue Oct 30 11:22:25 EDT 2012



 
[Apologies for cross-posting]

Preliminary Call for Papers
**************************************************
15th International Conference on
Data Warehousing and Knowledge Discovery
DaWaK 2013
*************************************************
Prague, Czech Republic
August 26-29, 2013  

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 and Big Data 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.

Submissions presenting current research work on both theoretical and 
practical aspects of Big Data, Data Warehousing and Knowledge Discovery 
are encouraged. DaWaK 2013 is organized into 4 tracks as follows:

Big Data and Cloud Intelligence Track:
 Big Data Storage
 Big Data Query Languages and Optimization
 Big Data Analytics and User Interfaces
 Big Indexes
 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:
 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:
 Big Data Analytics Applications
 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. Submission Online through ConfDriver 
via www.dexa.org
Submissions must conform to Springer's LNCS format and should not exceed 
12 pages. All accepted papers will be published in LNCS by 
Springer-Verlag. Authors of selected best papers from DaWaK 2013 will be 
invited to submit the extended paper for a special issue of LNCS 
Transactions on Large-Scale Data and Knowledge-Centered Systems.

For further inquiries, contact the DaWaK 2013 PC chairs

IMPORTANT DATES
 Submission of abstracts: March 19, 2013
 Submission of full papers: March 26, 2013
 Notification of acceptance: May 14, 2013
 Camera-ready copies due: June 10, 2013

Program Chairs
 Ladjel Bellatreche <bellatre... at ensma.fr>
 Mukesh Mohania <mkmuk... at in.ibm.com>

Program Committee
TBD


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