12th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2010)

Bilbao, Spain

August 30 - September 2, 2010


Click here to submit paper

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 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 2010 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 years, authors of best papers selected from DaWaK 2010 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 April 3, 2010 (extended deadline) and the due date of the full paper electronic submission is April 10, 2010 (extended deadline).

For further inquiries, please contact 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 extended to April 3, 2010
• Submission of full papers: March 27, 2010 extended to April 10, 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 ,University of Calabria, Italy

Programm Committee

Alberto Abello, Universitat Politecnica de Catalunya
Ira Assent, Aalborg University
Elena Baralis, Politecnico di Torino
Ladjel Bellatreche, ENSMA, France
Petr Berka, University of Economics, Prague
Jorge Bernardino, ISEC - Instituto Superior de Engenharia de Coimbra, Portugal
Mokrane Bouzeghoub, CNRS - Université de Versailles SQY
Stephane Bressan, National University of Singapore, Singapore
Peter Brezany, University of Vienna
Robert Bruckner, Microsoft
Jesús Cerquides, Universitat de Barcelona
Zhiyuan Chen, University of Maryland Baltimore County
Sunil Choenni, The Netherlands Ministry of Justice
Frans Coenen, University of Liverpool
Bruno Cremilleux, Université de Caen
Alfredo Cuzzocrea, University of Calabria/National Research Council, Italy
Agnieszka  Dardzinska, Bialystok University of Technology
Karen Davis, University of Cincinnati
Kevin Desouza, University of Washington
Curtis Dyreson, Utah State University
Todd Eavis, Concordia University, Canada
Johann Eder, University of Klagenfurt
Tapio Elomaa, Tampere University of Technology
Roberto Esposito, Università di Torino
Vladimir Estivill-Castro, Griffith University
Christie Ezeife, School of Computer Science, University of Windsor, Ontario, Canada
Jianping Fan, UNC-Charlotte
Ling Feng, Tsinghua University
Eduardo Fernandez_Medina, University of Castilla-La Mancha, Spain
Dragan Gamberger, Ruder Boskovic Institute
Gyözö Gidófalvi, Royal Institute of Technology (KTH), Sweden
Matteo Golfarelli, University of Bologna
Eui-Hong (Sam) Han, Sears Holdings Corporation
Wook-Shin Han, Kyungpook National University
Jaakko Hollmén, Aalto University School of Science and technology
Jimmy Huang, York University, Canada
Farookh Hussain, Curtin University of Technology
Ryutaro Ichise, National Institute of Informatics
Mizuho Iwaihara, Waseda University
Murat Kantarcioglu, University of Texas at Dallas
Jinho Kim, Kangwon National University
Sang-Wook Kim, Hanyang University
Jörg Kindermann, Fraunhofer Institute IAIS
Jens Lechtenboerger, Westfalische Wilhelms - Universitat Munster
Wolfgang Lehner, Dresden University of Technology
Sanjay Kumar Madria, University of Missouri-Rolla, USA
Jose-Norberto Mazón, University of Alicante
Mukesh Mohania, IBM India
Anirban Mondal, University of Tokyo
Ullas Nambiar, IBM Research
Jian Pei, Simon Fraser University
Evaggelia Pitoura, University of Ioannina
Stefano Rizzi, University of Bologna
Alkis Simitsis, HP Labs
Koichi Takeda, Tokyo Research Laboratory, IBM Research
Dimitri Theodoratos, New Jersey Institute of Technology
Christian Thomsen, Aalborg University
Juan-Carlos Trujillo Mondéjar, University of Alicante, Spain
Vincent Shin-Mu Tseng, National Cheng Kung University, Taiwan
Panos Vassiliadis, University of Ioannina
Wolfram Woess, University of Linz, Austria
Robert Wrembel, Poznan University of Technology
Man Lung Yiu, Hong Kong Polytechnic University
Qiankun Zhao, Telefonica, Spain
Xiaofang Zhou, University of Queensland
Esteban Zimányi, Universite Libre de Bruxelles