[12751] in Public-Access_Computer_Systems_Forum
kdad'99 cfp
daemon@ATHENA.MIT.EDU (Mohamed)
Fri Feb 26 20:03:06 1999
Date: Fri, 26 Feb 1999 16:43:13 -0600
From: Mohamed <Mohamed.Quafafou@irin.univ-nantes.fr>
To: PACS-L@LISTSERV.UH.EDU
Reply-To: Public-Access Computer Systems Forum <PACS-L@LISTSERV.UH.EDU>
----------------------------Original message----------------------------
[.. Profuse apologies for cross-posting. Please forward to anyone who
would
be interested. Thankyou ..]
The PAKDD Workshop on Knowledge Discovery from Advanced Databases
(KDAD'99)
In conjunction with
Third Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD'99)
Beijing, China,
April 26, 1999
http://www.sciences.univ-nantes.fr/kdad99
MOTIVATION
The main goal of knowledge discovery is to convert the massive amount of
the captured data to actionable knowledge. The last few years have seen
a growing development of algorithms and approaches to automatic
discovery of knowledge from for well-structured raw data stored int very
large relational databases. However, different kind of data, i.e.,
image, text, video, etc. are know available in file systems, objects
servers and web sites and accessed by a wide range of users, ranging
from discipline experts to novice users. There is a growing need for
new generation of data mining and KDD tools to automatically and
intelligently analyzes complex data types as audio, image, video,
spatial data, temporal data and textual information. The challenge for
the next decade is to develop theoretical foundations, technological
support and integrated tools to make easy the discovery of knowledge
from advanced databases (KdAd) by converting its heterogeneous
information to useful and actionable knowledge according to a users
goals.
The problem of efficiently discovering knowledge from advanced databases
is an important problem in wide variety of application areas including
astronomy, geology, biology, urbanism, environment, biomedical, spatial
relationship marketing, etc. Knowledge discovery from advanced databases
development faces challenges in several issues, including data storage
and access, data preprocessing, data mining algorithms and
architectures, visualization and interactive exploration, interfaces
and languages for data mining, etc.:
>> 1. Complex data which may be extremely varied in content, structure
and format, can not be stored and manipulated in a traditional RDBMS.
Alternative ways are extending object-relational databases to store and
manage both data and methods encapsulated into objects, and objects
databases which allow a persistent storage of objects and an the
use object-oriented programming language.
>> 2. Large preprocessing efforts are generally necessary to understand
the data and data preprocessing includes different kind of operators as
indexing schemes, retrieval methods, data integration, metadata
creation, etc.
>> 3. Efficient data mining algorithms are needed to analyse this
heterogeneous data which may be strongly structured (i.e., multimedia
object) or poorly structured (i.e., informal notes added to an image).
The integration of KDD tools into software environment is primary of
importance in real world applications, i.e., coupling KDD tools with a
geographical information system. The KdAd99 workshop will be focused on
algorithms, methodologies, technologies and standards related to
knowledge discovery from advanced databases, i.e., OODB, text mining,
spatial and temporal data exploration and analysis, image, audio, vedio
and more generally multimedia objects mining. Real world applications
are strongly encouraged.
WORKSHOP OUTLINE
The Workshop includes invited and contributed talks which give a
description of open questions in KdAd, work in progress, solutions
presented by specific approaches, lessons learned from realized real
world projects. This workshop is a forum for discussion of new ideas and
techniques and will leads to identify the main problems which should be
addressed in the immediate future. We invite participants from
academia, government and industry to share ideas and experiences.
SUBMISSION OF PAPERS
Currently, researchers in different communities (i.e., data mining,
database, multimedia, digital libraries, metadata, data engineering and
object) are looking at different aspects of this problem. The primary
purpose of this workshop is threefold :
>> 1. to bring together researchers and practitioners interested by
KdAd problem in order to exchange ideas,
>> 2. to gain a better understanding of the state of the art and the
technological solutions,
>> 3. to identify and explicit the search challenges to address in
getting specific tools and/or integrated solutions supporting the
emergence of knowledge from Advanced databases. Among others, papers of
the following kind are welcome :
Heterogeneous Database systems
Semi-structured Data mining
Temporal and Spatial Database systems
Multimedia and Digital Libraries
Image, Video and Audio Data exploration and analysis
OODB mining
Text Mining
Metadata and complex object mining
Agent-based architectures
Analysis and methodology issues
Applications in Sciences, Engineering, GIS-based mining, Internet and
web mining, etc.
This workshop addresses practitioners as well as researchers from those
communities which contribute to the KdAd topic. Potential attendees
submit a full technical paper (not exceeding 5000 words), or a summary
of an ongoing research effort (not exceeding 1500 words). Electronic
submission (postscript, pdf, or MS Word format) is highly encouraged.
Submission should be sent to quafafou@irin.univ-nantes.fr. Hard-copy
submission are also accepted, please sent three (3) copies of the paper
to Mohamed Quafafou (see address below)
IMPORTANT DATES
Submission deadline March 15, 1999
Notification of acceptance April 5, 1999
Workshop date April 26, 1999
REVIEW & PUBLICATION
All submissions will be reviewed on the basis of relevance,
originality, significance and clarity. Two referees will review each
submission and their results will be sent to the first author via email,
unless requested otherwise. Authors of selected papers will be invited
to extend their papers for inclusion in a special issue of An
International Journal.
KDAD'99 ORGANISATION
Mohamed Quafafou (co-chair)
University of Nantes, 2, rue de la Houssiniere, BP. 92208 44322 Nantes
Cedex 3 France.
e-mail : quafafou@irin.univ-nantes.fr
Philip Yu (co-chair)
IBM T.J. Watson Research Center
30 Saw Mill River Road Hawthorne, NY 10532, USA
e-mail: psyu@watson.ibm.com
PROGRAM COMMITTE
Chung Sheng Li IBM T.J. Watson Research Center, USA
Hannu Toivonen University of Helsinki, Finland,
Raymond Ng Univ. of British Columbia, Canada
Kyusoek Shim Bell Labs, USA
Jiawei Han Simon Fraser University, Canada
Rakesh Agrawal IBM Almaden Research Center, USA
Hongjun Lu National University of Sangapore, Singapore
Vijay V. Raghavan University of Southwestern Louisiana, USA
Ahmed K. Elmagarmid Perdue University, USA
Ning Zhong Yamagushi university, Japan
Xindong Wu Colorado School of Mines, USA
