[Elsnet-list] CFP: Workshop "Dependability Aspects in DWH and MiningApplications" (DAWAM), Submission Deadline: 15-01-2006

Nguyen Manh Tho tho at ifs.tuwien.ac.at
Tue Jan 10 14:57:11 CET 2006


(Apologies for multiple copies due to cross postings. Please send to
interested colleagues and students) 
CALL FOR PAPERS: International Workshop “Dependability Aspects on Data
WArehousing and Mining applications” DAWAM 2006
<http://www.ares-conf.org/?q=dawam> 
in conjunction with The First International Conference on Availability,
Reliability and Security (ARES <http://www.ifs.tuwien.ac.at/ares2006>
2006)
Overview
Nowadays, the rapid growth of information technologies has brought
tremendous opportunities for data sharing, integration, and analysis
across multiple distributed, heterogeneous data sources. In the past
decade, data warehousing and mining are the well-known technologies used
for data analysis and knowledge discovery in vast domain of
applications. Data mining technology has emerged as a means of
identifying patterns and trends from large quantities of data. Data
mining has used a data warehousing model of gathering all data into a
central site, then running an algorithm against that data.
A growing attention has been paid to the study, development and
application of data warehousing and mining. Nevertheless, dependability
aspects in these applications such as availability, reliability,
integrity, privacy, and security issues are still being investigated.
For example, in data warehousing applications, privacy considerations
may prevent the approach of collecting data into the centralized
warehouse because each data source has different privacy policy.
Furthermore, the complexity of security increases as different sources
of information are combined. Reliable, consistent and trustworthy of
information are also significant requirements in data warehousing
applications. Data mining has been shown to be beneficial in confronting
various types of attacks to computer systems such as fraud detection,
intrusion prevention. In some applications, e.g. clinic information
system, government management, business competitive information, it is
required to apply the mining algorithms without observing the
confidential data values thus demands the privacy preservation. There
are also many challenging issues that need further investigation in the
context of data mining from both privacy and security perspectives such
as mining of imbalanced data, bioinformatics data, streaming data,
ubiquitous computing data, grid computing data etc.
The goals of this workshop are to bring together users, engineers and
researchers (from industry and academy) alike to present their recent
work, discuss and identify problems, synergize different views of
techniques and policies, and brainstorm future research directions on
various dependability aspects of data warehousing and data mining
applications. We strongly encourage researchers and practitioners with
interest in the areas of reliability, availability, privacy and
security, databases, data warehousing, data mining, and statistics to
submit their experience, and/or research results. 
Topics related to any of dependability aspects in data warehousing and
mining, theory, systems and applications are of interest. These include,
but are not limited to the following areas:
*  Dependability and fault tolerance 
*  High Availability and Disaster Recovery 
*  Survivability of evaluative systems 
*  Reliability and Robustness Issues 
*  Accuracy and reliability of responses 
*  Reliable and Failure Tolerant Business Process Integration 
*  Reliable Event Management and Data Stream Processing 
*  Failure Tolerant and trustworthy Sensor Networks 
*  Highly available data warehouses for business processes integration 
*  Handling different or incompatible formats, and erroneous data 
*  Privacy and security policies and social impact of data mining 
*  Privacy preserving data integration 
*  Access control techniques and secure data models 
*  Encryption & Authentication 
*  Pseudonymization and Encryption 
*  Anonymization and pseudonymization 
*  Trust management, and security 
*  Security in Aggregation and Generalization 
*  User Profile Based Security 
*  Secure multi-party computation 
*  Secondary use of personal data, clinic data, credit record 
*  Fraud and misuse detection 
*  Intrusion detection and tolerance 
*  Data mining applications for terrorist detection 
*  Private queries by a (semi-trusted) third party 
*  Query authentication, logging, auditing, access control and
authorization policies 

The program of the workshop will be a combination of invited talks,
paper/poster presentations and discussions.

1.      Important Dates 

Submission Deadline: December, 15th 2006 (Extension !!!) 
Author Notification: January, 23th 2006
Author Registration: February, 1st 2006
Proceedings Version: February, 1st 2006

2.      Submission Guidelines 

Authors are invited to submit research and application papers in IEEE
Computer Society Proceedings Manuscripts style (two columns,
single-spaced, including figures and references, using 10 fonts, and
number each page). You can confirm the IEEE Computer Society Proceedings
Author Guidelines at the following web page:
URL: http://computer.org/cspress/instruct.htm
or http://www.tinmith.net/tabletop2006/IEEE/Format/instruct.htm
Submission are classified into 3 categories (1) full paper (8 pages),
(2) short paper (5 pages), and (3) poster (2 pages) representing
original, previously unpublished work. Submitted papers will be
carefully evaluated based on originality, significance, technical
soundness, and clarity of exposition. 
Contact author must provide the following information: paper title,
authors' names, affiliations, postal address, phone, fax, and e-mail
address of the author(s), about 200-250 word abstract, and about five
keywords and register at our ARES website:
http://www.ares-conf.org/?q=submission. Prepare your paper in PDF or MS
Word file and submit it to our site or send it to the workshop co-chair:
Dr. Nguyen Manh Tho, Institute of Software Technology, Vienna University
of Technology, via email: tho at ifs.tuwien.ac.at not later than 15-01-2006
Submission of a paper implies that should the paper be accepted, at
least one of the authors will register and present the paper in the
conference. Accepted papers will be given guidelines in preparing and
submitting the final manuscript(s) together with the notification of
acceptance.

3.      Publication 

All accepted papers (full and short papers) will be published as ISBN
proceedings published by IEEE Computer Society. Based on quality and
referee reviews, some papers not suitable for acceptance as full paper
will be accepted for presentation at DAWAM 2006 in Poster category and
will be also included in the IEEE Proceedings.
A selected number of papers will be nominated to be published as special
issues in appropriate journals such as Journal of automatic and trusted
computing (JoATC). 

4.      Workshop Organizer Co-chairs 

Jimmy Huang, Prof. 
School of Information Technology,
York University,
Toronto, Ontario
Canada M3J 1P3
jhuang at yorku.ca
Josef Schiefer, Ph.D.
Senactive IT-Dienstleistungs GmbH ,
Phorusgasse 8
A1040 Vienna, Austria
josef.schiefer at senactive.com
Nguyen Manh Tho, Ph.D. (main contact)
Institute of Software Technique and Interactive System,
Vienna University of Technology ,
Favoriten strasse 9-11/188
A1040 Vienna, Austria
tho at ifs.tuwien.ac.at

5.      Program Committee

Aijun An, York University, Canada 
Pawan Chowdhary, IBM T J Watson Research Center, USA
LiWu Chang, Naval Research Laboratory, USA 
Josep Domingo-Ferrer, Rovira i Virgili University of Tarragona, Spain
Elena Ferrari, University of Insubria at Como, Italy
Ulrich Flegel, University of Dortmund, Germany
Tyrone Grandison, IBM Almaden Research, USA 
Jun-Jang (JJ) Jeng, IBM T.J. Watson Research Center, USA
Hillol Kargupta, University of Maryland, Baltimore County, USA and
Agnik, LLC
Zongwei Luo, University of Hong Kong, Hong Kong
Taneli Mielikäinen, University of Helsinki, Finland
Daniel E. O'Leary, University of Southern California, USA
Stanley Oliveira, Embrapa Information Technology, Brazil
Arnon Rosenthal, MITRE Corporation, USA
Ben Soh, La Trobe University, Australia
David Taniar, Monash University, Australia 
Juan Trujillo, University of Alicante, Spain
Vassilios S. Verykios, University of Thessaly, Greece
Justin Zhan, University of Ottawa, Canada
Sheng Zhong, State University of New York at Buffalo, USA 
 
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