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Call for papers : DaWaK 2007 - 9th International Conference on Data Warehousing and Knowledge Discovery

From: Nguyen Manh Tho <tho@ifs.tuwien.ac.at>
Date: Mon, 16 Oct 2006 10:56:59 +0200
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Message-ID: <004401c6f101$0aef15e0$9fe18380@turion641>

Apologies for multiple copies due to cross postings. 
Please send to interested colleagues and students.


++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

9th International Conference on Data Warehousing and Knowledge Discovery

                              (DaWaK 2007)
                          Regensburg, Germany
                       Sept. 3 to Sept. 7, 2007 
                    http://www.dexa.org/drupal/?q=dawak
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Call for Papers
=================== 
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 exponential 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 2007), builds on 
this tradition of facilitating the cross-disciplinary exchange of ideas,
experience and potential research directions.

DaWaK 2007 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, mining natural 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 data warehousing/OLAP 
•	Active/real-time data warehousing 
•	Data warehouse architecture 
•	Web/multimedia data warehouses 
•	Data extraction, cleansing, transforming and loading 
•	Spatial and spatiotemporal data warehouses 
•	Data warehouse maintenance and evolution 
•	Data warehousing in mobile/wireless environments 
•	Data warehouse design (conceptual, logical and physical) 
•	Data warehousing and the semantic web 
•	Data warehousing consistency and quality 
•	Data warehouse schema evolution and transformations 
•	Data warehousing with unstructured data (e.g., text) and semi-
      structured data (e.g., XML) 
•	Design and maintenance of metadata repository 
•	Data warehouse security and reliability 
•	Data warehousing applications: corporate, scientific, government,
      healthcare, bioinformatics, etc. 
•	Parallel /distributed data warehousing 
•	View maintenance/adaptation 
•	Frameworks for Business Process Management (BPM) and Business 
      Intelligence (BI) 
•	Performance optimization and tuning 
•	Multidimensional modelling and queries 
•	Data warehousing and industry applications (e.g. ERP, CRM) 
•	Integration of data warehouses and data mining 
 
Knowledge Discovery
====================== 
•	Knowledge discovery framework and process 
•	Security, privacy and social impact of data mining 
•	Integration constraints and knowledge in KDD process 
•	Mining unstructured and structured data 
•	Data and knowledge representation 
•	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 
•	Mining temporal, spatial and multimedia data 
•	Data mining techniques: clustering, classification, association
      rules, decision trees, neural-network, etc 
•	Mining large/complex datasets, continuous data streams, sensor
      networks 
•	Data mining support for the design of information systems 
•	Mining ubiquitous, moving, time-series data 
•	Integration of data warehousing, OLAP and data mining 
•	Mining Trends, Opportunities and Risks 
•	Languages and interfaces for data mining 
•	Distributed and parallel data mining/knowledge discovery 
•	Mining from low-quality information sources 
•	High performance and parallel/distributed data mining 
•	Complexity, efficiency, and scalability in data mining 
•	Pre-processing and post-processing of data mining 
•	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 10 pages (including all text, figures, references and
appendices). Authors who want to buy extra pages may submit a paper up to 12

pages with the indication that the authors will purchase extra pages once 
the paper is accepted. Submissions which are not conform to the LNCS format 
and/or which do exceed 10 pages (or up to 12 pages with the extra 
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.

This year, we will plan to have the Best Paper Awards for the best papers
selected by the PC-members.
 
As the last year, authors of best papers selected from DaWaK2007 conference
will be invited to submit an extension for a special issue of International
Journal of Data Warehousing and Mining (IJDWM). 

Authors are requested to send the abstract of their paper to be received by
April 2nd 2007, due date of the full paper electronic submission is April
13th 2007.

For further inquiries, please contact DaWaK 2007 PC Co-Chairperson
Dr. Il-Yeol Song (song@drexel.edu), Dr. Johann Eder
 (johann.eder@univie.ac.at), or Dr. Nguyen Manh Tho (tho@ifs.tuwien.ac.at)

IMPORTANT DATES
=================
•	Submission of abstracts: 	April 2, 2007 
•	Submission of full papers: 	April 13, 2007 
•	Notification of acceptance: 	May 25, 2007 
•	Camera-ready copies due: 	June 10, 2007 

Program Chairs
================
•	Il Yeol Song, Drexel University, Philadelphia, USA
•	Johann Eder, University of Vienna, Austria
•	Tho Manh Nguyen, Vienna University of Technology, Austria 

Program Committee
==================
Alberto Abello (Universitat Politecnica de Catalunya, Spain)
Eugene Agichtein (Microsoft Research, USA)
Paulo Azevedo (Universidade do Minho, Portugal)
Jose Luis Balcazar (University Politechnique of Catalunya, Spain)
Elena Baralis (Politecnico di Torino, Italy)
Ladjel Bellatreche (ENSMA - Poitiers University, France)
Bettina Berendt (Humboldt University Berlin, Germany)
Petr Berka (University of Economics Prage, Cezch)
Jorge Bernardino (ISEC, Polytechnic Institute of Coimbra, Portugal)
Elisa Bertino (Purdue University, USA)
Sourav S Bhowmick (Nanyang Technological University, Singapore)
Francesco Bonchi (ISTI - C.N.R., Italy)
Henrik Boström (Stockholm University and Royal Institute of Technology,
Sweden)
Jean-Francois Boulicaut (INSA Lyon, France)
Mokrane Bouzeghoub (University of Versailles, France)
Stephane Bressan (SoC) (National University of Singapore, Singapore)
Peter Brezeny (University of Vienna, Austria)
Robert Bruckner (Microsoft Coperation, USA)
Luca Cabibbo (Università Roma Tre, Italy)
Tru Hoang Cao (Ho Chi Minh City University of Technology, Vietnam)
F. Amilcar Cardoso (Universidade de Coimbra, Portugal)
Jesús Cerquides (University of Barcelona, Spain)
Chan Chee-Yong (National University of Singapore, Singapore)
Arbee L.P. Chen (National Chengchi University, Taiwan)
Rada Chirkova (NC State University, USA)
Sunil Choenni (University of Twente and Dutch Ministry of Justice,
Netherlands)
Ezeife Christie (University of Windsor, Canada)
Frans Coenen (The University of Liverpool, UK)
Graham Cormode (Bell Labs, USA)
Bruno Crémilleux (Université de Caen, France)
Honghua Dai (Deakin University, Australia)
Agnieszka Dardzinska (Bialystok Technical University, Poland)
Karen C. Davis (University of Cincinnati, USA)
Kevin C. Desouza (University of Washington, USA)
Chabane Djeraba (University of Sciences and Technologies of Lille, France)
Dirk Draheim (Software Competence Center Hagenberg, Germany)
Johann Eder (University of Vienna, Austria)
Tapio Elomaa (Tampere University of Technology, Finland)
Roberto Esposito (Università di Torino, Italy)
Vladimir Estivill-Castro (Griffith University, Australia)
Wei Fan (IBM T.J.Watson, USA)
Jianping Fan (University of North Carolina, USA)
Ronen Feldman (Bar-Ilan University, Isarel)
Ling Feng (University of Twente, Netherlands)
Eduardo Fernández-Medina (University of Castilla-La Mancha, Spain)
Ada Fu (Chinese University of Hong Kong, Hong Kong)
Johannes Fürnkranz (TU Darmstadt, Germany)
Dragan Gamberger (Rudjer Boskovic Institute, Hungary)
Jean-Gabriel Ganascia (LIP6 - University Paris VI, France)
Joydeep Ghosh (University of Texas at Austin, USA)
Chris Giannella (University of Maryland Baltimore County, USA)
Matteo Golfarelli (DEIS - University of Bologna, Italy)
Gunter Grieser (Technical University Darmstadt, Germany)
Mirsad Hadzikadic (College of Information Technology, UNC Charlotte, USA)
Howard J. Hamilton (University of Regina, Canada)
Eui-Hong (Sam) Han (University of Minnesota, USA)
Wook-Shin Han (KyungBook University, Korea)
Melanie Hilario (AI Lab, University of Geneva, Switzerland)
Alexander Hinneburg (Martin-Luther-University Halle-Wittenberg, Germany)
Jaakko Hollmen (Helsinki University of Technology, Finland)
Se June Hong (RSM emeritus, IBM TJ Watson Research Center, USA)
Frank Höppner (University of Applied Sciences Braunschweig/Wolfenbuettel,
Germany)
Andreas Hotho (University of Kassel, Germany)
Xiaohua (Tony) Hu (Drexel University, USA)
Jimmy Huang (York University, Canada)
Eyke Hüllermeier (Otto-von-Guericke-Universität Magdeburg, Germany)
Ryutaro Ichise (National Institute of Informatics, Japan)
Hasan Jamil (Wayne State University, USA)
Alípio Jorge (FEP/LIACC, University of Porto, Portugal)
Tamer Kahveci (University of Florida, USA)
Panos Kalnis (National University of Singapore, Singapore)
Murat Kantarcioglu (University of Texas at Dallas, USA)
Mehmet Kaya (Firat University, Turkey)
Eamonn Keogh (University of California - Riverside, USA)
Jinho Kim (Kangwon National University, Korea)
Jörg Kindermann (Fraunhofer Institute for Autonomous Intelligent Systems
AIS, Germany)
Arno Knobbe (Universiteit Utrecht, Netherlands)
Igor Kononenko (University of Ljubljana, Slovenia)
Stefan Kramer (Technische Universitaet Muenchen, Germany)
Michihiro Kuramochi (Google Inc., USA)
Christine Largeron (EURISE Université Jean Monnet Saint-Etienne, France)
Pedro Larrañaga (University of the Basque Country, Spain)
Jens Lechtenbörger (University of Münster, Germany)
Yue-Shi Lee (Ming Chuan University, Taiwan)
Guanling Lee (National Dong Hwa University, Taiwan)
Jae-Gil Lee (UIUC, USA)
Yong-Goo Lee (KyungHee University, Korea)
Jinyan Li (Institute for Infocomm Research, Singapore)
Xuemin Lin (UNSW, Australia)
Beate List (Vienna University of Technology, Austria)
Xiaohui Liu (Brunel University, UK)
Woong-Kee Loh (University of Minnesota, USA)
Sergio Lujan-Mora (University of Alacante, Spain)
Donato Malerba (Università degli Studi, Italy)
Nikos Mamoulis (University of Hong Kong, Hong Kong)
Giuseppe Manco (ICAR-CNR, National Research Council, Italy)
Michael May (Fraunhofer Institut Autonome Intelligente Systeme, Germany)
Rosa Meo (University of Torino, Italy)
Mukesh Mohania (I.B.M. India Research Lab, India)
Yang-Sae Moon (Kangwon National University, Korea)
Eduardo F. Morales (ITESM - Campus Cuernavaca, Mexico)
Shinichi Morishita (University of Tokyo, Japan)
Alexandros Nanopoulos (Aristotle University of Thessaloniki, Greece)
Wee Keong Ng (Nanyang Technological University, Singapore)
Tho Manh Nguyen (Vienna University of Technology, Austria)
Richard Nock (Université Antilles-Guyane, France)
Arlindo L. Oliveira (IST/INESC-ID, Portugal)
Themis Palpanas (IBM TJ Watson Research Center, USA)
Byung-Kwon Park (Dong-Ah University, Korea)
Torben Bach Pedersen (Aalborg University, Denmark)
Dino Pedreschi (University of Pisa, Italy)
Jaakko Tapani Peltonen (Helsinki University of Technology, Finland)
Clara Pizzuti (ICAR-CNR, Italy)
Lubomir Popelinsky (Masaryk University in Brno, Czech)
David Powers (The Flinders University of South Australia, Australia)
Jan Ramon (Katholieke Universiteit Leuven, Belgium)
Zbigniew Ras (University of North Carolina, USA)
Andrew Rau-Chaplin (Dalhousie University, Canada)
Mirek Riedewald (Cornell University, USA)
Christophe Rigotti (LIRIS Lyon France and ISTI Pisa, France)
Gilbert Ritschard (University of Geneva, Switzerland)
Stefano Rizzi (University of Bologna, Italy)
John Roddick (Flinders University, Australia)
Henryk Rybinski (Warsaw University of Technology, Poland)
Domenico Sacca (University of Calabria & ICAR-CNR, Italy)
Yucel Saygin (Sabanci University, Turkey)
Monica Scannapieco (University of Rome, Italy)
Josef Schiefer (Vienna University of Technology, Austria)
Markus Schneider (University of Florida, USA)
Michael Schrefl (University Linz, Austria)
Giovanni Semeraro (University of Bari, Italy)
Manuel Serrano (University of Castilla - La Mancha, Spain)
Alkis Simitsis (National Technical University of Athens, Greece)
Dan Simovici (University of Massachusetts at Boston, USA)
Andrzej Skowron (Warsaw University Banacha 2, Poland)
Carlos Soares (University of Porto, Portugal)
Il-Yeol Song (Drexel University, USA)
Min Song (New Jersey Institute of Technology, USA)
Jerzy Stefanowski (Poznan University of Technology, Poland)
Olga Stepankova (Czech Technical University, Czech)
Reinhard Stolle (BMW Car IT, Germany)
Jan Struyf (Katholieke Universiteit Leuven, Belgium)
Ah-Hwee Tan (Nanyang Technological University, Singapore)
David Taniar (Monash University, Australia)
Evimaria Terzi (University of Helsinki, Finland)
Dimitri Theodoratos (New Jersey`s Science & Technology University, USA)
A Min Tjoa (Vienna University of Technology, Austria)
Riccardo Torlone (Roma Tre University, Italy)
Juan Trujilo (University of Alacante, Spain)
Jaideep Vaidya (Rutgers University, USA)
Panos Vassiliadis (University of Ioannina, USA)
Roland Wagner (Johannes Kepler University Linz, USA)
Wei Wang (University of North Carolina, USA)
Marek Wojciechowski (Poznan University of Technology, Poland)
Wolfram Wöß (Johannes Kepler University Linz, Austria)
Illhoi Yoo (University of Missouri, Columbia, USA)
Mohammed J. Zaki (Rensselaer Polytechnic Institute, USA)
Carlo Zaniolo (University of California, Los Angeles, USA)
Shichao Zhang (Sydney University of Technology)
Xiuzhen Jenny Zhang (RMIT University, Australia)
Djamel Abdelkader Zighed (University Lyon, France)
Received on Monday, 16 October 2006 13:00:18 GMT

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