Preliminary Call for Papers - DaWaK '13

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 Track:

  • 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
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


  • Submission of abstracts: March 19, 2013
  • Submission of full papers: March 26, 2013
  • Notification of acceptance: May 14, 2013 --- extended to May 16
  • Camera-ready copies due: June 10, 2013

Conference Program Chairpersons:

  • Ladjel Bellatreche (
  • Mukesh Mohania (

Program Committee:

Alberto Abelló, Universitat Politecnica de Catalunya (Spain)
Rajeev Agrawal, North Carolina A&T State University (United States)
Reda Alhajj, University of Calgary (Canada)
Manish Anand, (United States)
Torben Bach Pedersen, Aalborg University (Denmark)
Elena Baralis, Politecnico di Torino (Italy)
Ladjel Bellatreche, LISI/ENSMA, France (France)
Petr Berka, University of Economics, Prague (Czech Republic)
Jorge Bernardino, ISEC - Polytechnic Institute of Coimbra (Portugal)
Vasudha Bhatnagar, Delhi University (India)
Manish Bhide, IBM Software Lab (India)
Omar Boussaid, University of Lyon (France)
Stephane Bressan, National University of Singapore (Singapore)
Erik Buchmann, Karlsruhe Institute of Technology (Germany)
Longbing Cao, University of Technology Sydney (Australia)
Nitesh Chawla, University of Notre Dame (United States)
Frans Coenen, The University of Liverpool (United Kingdom)
Bruno Cremilleux, Université de Caen (France)
Judith Cushing, The Evergreen State College (United States)
Alfredo Cuzzocrea, ICAR-CNR and University of Calabria (Italy)
Karen Davis, University of Cincinnati (United States)
Frank Dehne, Carleton University (Canada)
Antonios Deligiannakis, Technical University of Crete (Greece)
Alin Dobra, University of Florida (United States)
Dejing Dou, University of Oregon (United States)
Curtis Dyreson, Utah State University (United States)
Johann Eder, University of Klagenfurt (Austria)
Floriana Esposito, University of Bari "Aldo Moro" (Italy)
Vladimir Estivill-Castro, Griffith University (Australia)
Christie Ezeife, University of Windsor (Canada)
Ling Feng, Tsinghua University (China)
Eduardo Fernandez_Medina, University of Castilla-La Mancha, Spain (Spain)
Pedro Furtado, Universidade de Coimbra, Portugal (Portugal)
Ahmad Ghazal, Teradata (United States)
Sergio Greco, University of Calabria (Italy)
Neelima Gupta, University of Delhi (India)
Frank Hoppner, Ostfalia University of Applied Sciences (Germany)
Jimmy Huang, York University, Canada (Canada)
Hasan Jamil, University of Idaho, USA (United States)
Chris Jermanine, Rice University (United States)
Domingo-Ferrer Josep, University Rovira i Virgili (Spain)
Vineet Kansal, ITS (India)
Murat Kantarcioglu, University of Texas at Dallas (United States)
Panagiotis Karras, Rutgers University (United States)
Taghi Khoshgoftaar, Florida Atlantic University (United States)
Sang-Wook Kim, Hanyang University (Korea, Rep.)
Arno Knobbe, Universiteit Utrecht (Netherlands)
Jens Lechtenboerger, Westfalische Wilhelms - Universitat Munster (Germany)
Wolfgang Lehner, Dresden University of Technology (Germany)
Carson K. Leung, The University of Manitoba (Canada)
Jinyan Li, University of Technology, Sydney (Australia)
Sofian Maabout, University of Bordeaux (France)
Patrick Marcel, Université François Rabelais Tours (France)
Patrick Martin, Queen's University, Ontario, Canada (Canada)
Maryvonne Miquel, INSA de Lyon (France)
Anirban Mondal, Xerox Research (India)
Carlos Ordonez, University of Houston (United States)
Apostolos Papadopoulos, Aristotle University (Greece)
Jeffrey Parsons, Memorial University of Newfoundland (Canada)
Dhaval Patel, Indian Institute of Technology Roorkee (India)
Lu Qin, University of Technology, Sydney (Australia)
Sriram Raghavan, IBM Research - India (India)
Zbigniew W. Ras, University of North Carolina (United States)
Stefano Rizzi, University of Bologna (Italy)
Domenico Sacca', University of Calabria (Italy)
Maria Luisa Sapino, Università degli Studi di Torino (Italy)
Kai-Uwe Sattler, Ilmenau University of Technology (Germany)
Neeraj Sharma, India IBM Labs (India)
Cheng Sheng, Google Switzerland (Switzerland)
Alkis Simitsis, HP Labs (United States)
Domenico Talia, University of Calabria, Italy (Italy)
David Taniar, Monash University (Australia)
Olivier Teste, IRIT, University of Toulouse (France)
Dimitri Theodoratos, New Jersey Institute of Technology (United States)
A Min Tjoa, Vienna University of Technology (Austria)
Juan-Carlos Trujillo Mondéjar, University of Alicante, Spain (Spain)
Panos Vassiliadis, University of Ioannina (Greece)
Millist Vincent, University of South Australia (Australia)
Fan Wang, Microsoft (United States)
Wei Wang, University of New South Wales, Sydney (Australia)
Robert Wrembel, Poznan University of Technology (Poland)
Wolfram Wöß, Johannes Kepler University Linz (Austria)
Jierui Xie, Oracle Corporation (United States)
Bin Zhou, University of Maryland, Baltimore County (United States)
Esteban Zimányi, Universite Libre de Bruxelles (Belgium)