Preliminary Call for Papers - DaWaK '13

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 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 --- extended to May 16
• Camera-ready copies due: June 10, 2013

Conference Program Chairpersons:

• Ladjel Bellatreche (bellatreche@ensma.fr)
• Mukesh Mohania (mkmukesh@in.ibm.com)

Program Committee:

Alberto Abelló, Universitat Politecnica de Catalunya
Rajeev Agrawal, North Carolina A&T State University
Reda Alhajj, University of Calgary
Manish Anand, Salesforce.com
Torben Bach Pedersen, Aalborg University
Elena Baralis, Politecnico di Torino
Ladjel Bellatreche, LISI/ENSMA, France
Petr Berka, University of Economics, Prague
Jorge Bernardino, ISEC - Polytechnic Institute of Coimbra
Vasudha Bhatnagar, Delhi University
Manish Bhide, IBM Software Lab
Omar Boussaid, University of Lyon
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, ICAR-CNR and University of Calabria
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
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
Pedro Furtado, Universidade de Coimbra, Portugal
Ahmad Ghazal, Teradata
Sergio Greco, University of Calabria
Neelima Gupta, University of Delhi
Frank Hoppner, Ostfalia University of Applied Sciences
Jimmy Huang, York University, Canada
Hasan Jamil, University of Idaho, USA
Chris Jermanine, Rice University
Domingo-Ferrer Josep, University Rovira i Virgili
Vineet Kansal, ITS
Murat Kantarcioglu, University of Texas at Dallas
Panagiotis Karras, Rutgers University
Taghi Khoshgoftaar, Florida Atlantic University
Sang-Wook Kim, Hanyang University
Arno Knobbe, Universiteit Utrecht
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
Sofian Maabout, University of Bordeaux
Patrick Marcel, Université François Rabelais Tours
Patrick Martin, Queen's University, Ontario, Canada
Maryvonne Miquel, INSA de Lyon
Anirban Mondal, Xerox Research
Carlos Ordonez, University of Houston
Apostolos Papadopoulos, Aristotle University
Jeffrey Parsons, Memorial University of Newfoundland
Dhaval Patel, National University of Singapore, Singapore
Lu Qin, The Chinese University of Hong Kong
Sriram Raghavan, IBM Research - India
Zbigniew W. Ras, University of North Carolina
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
Neeraj Sharma, India IBM Labs
Cheng Sheng, Google Switzerland
Alkis Simitsis, HP Labs
Domenico Talia, University of Calabria, Italy
David Taniar, Monash University
Olivier Teste, IRIT, University of Toulouse
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
Fan Wang, Microsoft
Wei Wang, University of New South Wales, Sydney
Robert Wrembel, Poznan University of Technology
Wolfram Wöß, Johannes Kepler University Linz
Jierui Xie, Oracle Corporation
Bin Zhou, University of Maryland, Baltimore County
Esteban Zimányi, Universite Libre de Bruxelles