GENERAL

FAW

Call for Papers DaWaK '09

11th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009)

Linz, Austria

31 August -2 September 2009

http://www.dexa.org/dawak_cfp



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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 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. 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 2009), builds on this tradition of facilitating the cross-disciplinary exchange of ideas, experience and potential research directions. DaWaK 2009 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, and mining 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 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
  • View maintenance/adaptation
  • Data warehouse schema evolution
  • Grid/Parallel/distributed data warehousing
  • Performance optimization and tuning
  • Implementation/compression techniques
  • Data warehouse metadata
  • Active and event-based data warehousing
  • Real-time/right-time data warehousing
  • DW and OLAP for stream and sensor data
  • Spatial and spatio-temporal data warehouses
  • Data warehousing and OLAP in mobile/wireless environments
  • Web/multimedia data warehouses
  • Data warehousing with unstructured data (e.g., text) and semi-structured data (e.g., XML)
  • Combined analysis (OLAP,etc) of structured, semi-structured, and unstructured data
  • Data warehousing and the semantic web
  • Data warehouse privacy, security, and reliability
  • Data warehousing applications: corporate, scientific, government, healthcare, bioinformatics, etc.
  • Business Process Intelligence (BPI)

Knowledge Discovery

  • Data mining techniques: clustering, classification, association rules, decision trees, etc.
  • Data and knowledge representation
  • Knowledge discovery framework and process
  • 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
  • Distributed and parallel data mining and knowledge discovery
  • Complexity and scalability in data mining
  • Pre-processing and post-processing in data mining
  • Security, privacy and social impact of data mining
  • Mining unstructured, semi-structured, and structured data
  • Integrating constraints and knowledge in the KDD process
  • Exploring data analysis, inference of causes, prediction
  • Mining temporal, spatial, spatio-temporal data
  • Mining data streams and sensor data
  • Mining multimedia data
  • Mining social network data
  • Data mining support for designing information systems
  • Integration of data warehousing, OLAP and data mining
  • Mining Trends, Opportunities and Risks
  • Mining from low-quality information sources
  • 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 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 once 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.

Submission Online at: DaWaK 2009 Submission site

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.

As the last year, authors of best papers selected from DaWaK '09 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 20 2009, due date of the full paper electronic submission is March 27, 2009.

For further inquiries, please contact DaWaK 2009 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 20, 2009    extended ==> April 3, 2009
  • Submission of full papers: March 27, 2009    extended ==> April 10, 2009
  • Notification of acceptance: May 15, 2009
  • Camera-ready copies due: June 10, 2009

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 & University of Calabria, Italy

Program Committee

  • Alberto Abello Gamazo, Universitat Politecnica de Catalunya, Spain
  • Elena Baralis , Politecnico di Torino, Italy
  • Ladjel Bellatreche , Poitiers University, France
  • Petr Berka, University of Economics, Prague, Czech Republic
  • Jorge Bernardino, Instituto Superior de Engenharia de Coimbra, Portugal
  • Elisa Bertino, Purdue University, USA
  • Mokrane Bouzeghoub, CNRS - Université de Versailles SQY, France
  • Stephane Bressan, National University of Singapore, Singapore
  • Peter Brezany, University of Vienna, Austria
  • Robert Bruckner, Microsoft, USA
  • Erik Buchmann, Universität Karlsruhe, Germany
  • Jesús Cerquides, Universitat de Barcelona, Spain
  • Zhiyuan Chen, University of Maryland Baltimore County, USA
  • Sunil Choenni, The Netherlands Ministry of Justice, The Netherlands
  • Frans Coenen, University of Liverpool, United Kingdom
  • Bruno Cremilleux, Université de Caen, France
  • Alfredo Cuzzocrea, ICAR-CNR & University of Calabria, Italy
  • Agnieszka Dardzińska, University of North Carolina at Chapel Hill, Poland
  • Karen C. Davis, University of Cincinnati, USA
  • Kevin Desouza, University of Washington, USA
  • Curtis Dyreson, Utah State University, USA
  • Todd Eavis, Concordia University, USA
  • Johann Eder, University of Klagenfurt, Austria
  • Tapio Elomaa, Tampere University of Technology, Finland
  • Roberto Esposito, Università di Torino, Italy
  • Vladimir Estivill-Castro, Griffith University, Australia
  • Christie Ezeife, University of Windsor, Canada
  • Jianping Fan , UNC-Charlotte, USA
  • Ling Feng, Tsinghua University, China
  • Eduardo Fernandez-Medina, Universidad de Castilla-La Mancha, Spain
  • Ada Fu, Chinese University of Hong Kong, Hong Kong
  • Dragan Gamberger, Ruder Boškovic Institute, Croatia
  • Chris Giannella, Information Systems Security Operation of Sparta, Inc., USA
  • Matteo Golfarelli, University of Bologna, Italy
  • Eui-Hong (Sam) Han, iXmatch Inc., USA
  • Wook-Shin Han, Kyungpook National University, Korea
  • Jaakko Hollmén, Helsinki University of Technology, Finland
  • Xiaohua (Tony) Hu, Drexel University, USA
  • Jimmy Huang, York University, Canada
  • Farookh Khadeer Hussain , Curtin University of Technology, Australia
  • Ryutaro Ichise, Japan National Institute of Informatics, Japan
  • Mizuho Iwaihara, Kyoto University, Japan
  • Alípio Mário Jorge , University of Porto, Portugal
  • Murat Kantarcioglu, University of Texas at Dallas, USA
  • Jinho Kim, Kangwon National University, Korea
  • Sang-Wook Kim, Hanyang University , Korea
  • Jörg Kindermann, Fraunhofer Institute, Germany
  • Jens Lechtenboerger, Westfalische Wilhelms-Universitat Munster, Germany
  • Wolfgang Lehner, Dresden University of Technology, Germany
  • Sanjay Madria, University of Missouri-Rolla, USA
  • Jose Norberto Mazón López, University Of Alicante, Spain
  • Anirban Mondal, University of Tokyo, Japan
  • Ullas Nambiar, IBM Research, India
  • Jian Pei, Simon Fraser University, Canada
  • Evaggelia Pitoura, University of Ioannina, Greece
  • Stefano Rizzi, University of Bologna, Italy
  • Monica Scannapieco, University of Rome"La Sapienza", Italy
  • Alkis Simitsis, HP Labs, USA
  • Il-Yeol Song, Drexel University, USA
  • Koichi Takeda, Tokyo Research Laboratory, IBM Research, Japan
  • Dimitri Theodoratos, New Jersey Institute of Technology, USA
  • Christian Thomsen, Aalborg University, Denmark
  • Igor Timko, Free University of Bozen-Bolzano, Italy
  • Juan-Carlos Trujillo Mondéjar , University Of Alicante, Spain
  • Panos Vassiliadis, University of Ioannina, Greece
  • Millist Vincent, University of South Australia, Australia
  • Wolfram Wöß, Johannes Kepler Universität Linz, Austria
  • Robert Wrembel, Poznan University of Technology, Poland
  • Xiaofang Zhou, University of Queensland, Australia
  • Esteban Zimanyi, Universite Libre de Bruxelles, Belgium