Call for Papers - DaWaK '12

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 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 2012), builds on this tradition of facilitating the cross-disciplinary exchange of ideas, experience and potential research directions. DaWaK 2012 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

DaWaK 2012 is again organized into 4 tracks, each with a distinct focus. The four tracks, and their main topics are as follows:

Cloud Intelligence Track:

• 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:

• 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 at: DaWaK 2012 Submission site

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 if 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. 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. Submissions require explicit consent from all listed authors. Authors of best papers selected from DaWaK 2012 conference will be invited to submit an extension for a special issue of LNCS Transactions on Large-Scale Data- and Knowledge-Centered Systems, edited by Springer-Verlag. Authors are requested to send the abstract of their paper to be received by March 19, 2012, due date of the full paper electronic submission is March 26, 2012.

For further inquiries, contact the DaWaK 2012 PC Co-Chairpersons: Alfredo Cuzzocrea (cuzzocrea@si.deis.unical.it), or Umeshwar Dayal (Umeshwar.Dayal@hp.com)

IMPORTANT DATES

• Submission of abstracts: March 19, 2012 --- extended to April 4, 2012
• Submission of full papers: March 26, 2012 --- extended to April 10, 2012
• Notification of acceptance: May 15, 2012 --- May 25
• Camera-ready copies due: June 10, 2012

Program Chairs

• Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy
• Umeshwar Dayal, Hewlett-Packard Laboratories, Palo Alto, CA, USA

Program Committee

Alberto Abelló, Universitat Politecnica de Catalunya
Reda Alhajj, University of Calgary
Torben Bach Pedersen, Aalborg University
Elena Baralis, Politecnico di Torino
Ladjel Bellatreche, ENSMA, France
Bettina Berendt, KU Leuven, Belgium
Petr Berka, University of Economics, Prague
Jorge Bernardino, ISEC - Instituto Superior de Engenharia de Coimbra
Elisa Bertino, Purdue University
Stephane Bressan, National University of Singapore, Singapore
Erik Buchmann, Karlsruhe Institute of Technology
Longbing Cao, University of Technology Sydney
Nitesh Chawla, University of Notre Dame
Frans Coenen, The University of Liverpool
Bruno Cremilleux, Université de Caen
Judith Cushing, The Evergreen State College
Alfredo Cuzzocrea, University of Calabria, Italy
Karen Davis, University of Cincinnati
Frank Dehne, Carleton University
Antonios Deligiannakis, Technical University of Crete
Alin Dobra, University of Florida
Dejing Dou, University of Oregon
Curtis Dyreson, Utah State University
Todd Eavis, Concordia University, Canada
Johann Eder, University of Klagenfurt
Floriana Esposito, University of Bari "Aldo Moro"
Vladimir Estivill-Castro, Griffith University
Christie Ezeife, University of Windsor
Ling Feng, Tsinghua University
Eduardo Fernandez_Medina, University of Castilla-La Mancha, Spain
Sergio Greco, University of Calabria
Frank Hoppner, Ostfalia University of Applied Sciences
Jimmy Huang, York University, Canada
seung-won hwang, postech
Hasan Jamil, Wayne State University, USA
Chris Jermanine, Rice University
Domingo-Ferrer Josep, University Rovira i Virgili
Murat Kantarcioglu, University of Texas at Dallas
Panagiotis Karras, Rutgers University
Martin Kersten, CWI
Taghi Khoshgoftaar, Florida Atlantic University
Arno Knobbe, Universiteit Utrecht
Firstname Lastname, Affiliation
Jens Lechtenboerger, Westfalische Wilhelms - Universitat Munster
Wolfgang Lehner, Dresden University of Technology
Carson K. Leung, The University of Manitoba
Jinyan Li, University of Technology, Sydney
Xuemin Lin, University of New South Wales, Sydney
Patrick Martin, Queen's University, Ontario, Canada
Michael May, Fraunhofer Institut für Intelligente Analyse und Informationssysteme
Carlos Ordonez, University of Houston
Apostolos Papadopoulos, Aristotle University
Jeffrey Parsons, Memorial University of Newfoundland
Lu Qin, The Chinese University of Hong Kong
Zbigniew W. Ras, University of North Carolina
Mirek Riedewald, Northeastern University, USA
Stefano Rizzi, University of Bologna
Domenico Sacca', University of Calabria
Maria Luisa Sapino, Università degli Studi di Torino
Kai-Uwe Sattler, Ilmenau University of Technology
Timos Sellis Sellis, Institute for the Management of Information Systems & NTUA
Neeraj Sharma, India IBM Labs
Alkis Simitsis, HP Labs
Domenico Talia, University of Calabria, Italy
David Taniar, Monash University
Yufei Tao, Chinese University of Hong Kong
Dimitri Theodoratos, New Jersey Institute of Technology
A Min Tjoa, Vienna University of Technology
Juan-Carlos Trujillo Mondéjar, University of Alicante, Spain
Panos Vassiliadis, University of Ioannina
Millist Vincent, University of South Australia
Gottfried Vossen, University of Munster
Wei Wang, University of New South Wales, Sydney
Robert Wrembel, Poznan University of Technology
Wolfram Wöß, Johannes Kepler University Linz
Carlo Zaniolo, University of California, Los Angeles
Bin Zhou, University of Maryland, Baltimore County
Esteban Zimányi, Universite Libre de Bruxelles