[Elsnet-list] CFP:Workshop "Dependability Aspects on Data WArehousing and Mining applications" DAWAM 2006 - Deadline 15-01-2006

Nguyen Manh Tho tho at ifs.tuwien.ac.at
Thu Dec 22 12:58:40 CET 2005


Dear colleague,

Due to many requests (to enjoy Chirstmas and New Year Holidays), we
decide to extend the submission deadline of DAWAM 2006 to January 15,
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 2006 
(http://www.ares-conf.org)

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.

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

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=dawam/

Prepare your paper in PDF file and 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

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.

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), e-Signature Law Journal (Pario Communications Limited)
(LJI) (Sweet & Maxwell).


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

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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