Data Mining
Introduction
Data Mining & Information Engineering, The New Forest, UK, 18?20 Jun 2007; Deadline: "ASAP"
: : : Posting
: : cfp
Date: Mon, 15 May 2006 17:20:46 +0100
From: "Rachel Green" <rgreen@wessex.ac.uk>
CALL FOR PAPERS
Data Mining & Information Engineering 2007
18 – 20 June 2007, The New Forest, UK
Organised by:
Wessex Institute of Technology, UK
Federal University of Rio de Janeiro, Brazil
Sponsored by:
WIT Transactions on Information and Communication Technologies
Dear Colleague
On behalf of the International Scientific Advisory Committee (ISAC), we are pleased to inform you of the Eighth International Conference on Data, Text and Web Mining and their Business Applications including Information Engineering Management. The meeting will take place from 18 – 20 June 2007 at Wessex Institute of Technology in The New Forest, UK.
Conference papers will be reviewed by members of the ISAC and other colleagues, and if selected, will be published in hard book form by WIT Press and will be available to delegates at the time of registration. In addition, the proceedings will be widely distributed after the conference through the international book trade and by direct announcement to readers and librarians. Selected papers will be permanently archived in the Transactions of the Wessex Institute on our eLibrary site, which is available t
Further details about the conference follow this message. Alternatively click on the web address below to access the conference website, which has full details about the conference objectives, topics and submission requirements:
If you are not the right point of contact for this material we apologise, and would appreciate you forwarding this to the correct person or providing us with the contact details.
Best regards,
A Zanasi, TEMIS Italia, Italy
C A Brebbia, Wessex Institute of Technology, UK
N Ebecken, COPPE/UFRJ, Brazil
Conference Chairmen
DATA MINING & INFORMATION ENGINEERING 2007
INTRODUCTION
The Eighth International Conference on Data, Text and Web Mining, their Business Applications including Information Engineering Management is the recognised forum for new developments in this important field.
The Data Mining (DM) part of the conference includes Text Mining and Business Applications, a field of active research and development. Many Institutions have derived considerable benefits from these applications and are now applying the methodology to increasing effect.
Information Engineering Management has found applications in many areas, including environmental conservation, economic planning, resource integration, cartography, urban planning, risk assessment, pollution control and transport management systems. The technology plays an active role in linking economic development and environmental conservation planning and its relationship to Data Mining.
The meeting provides an international forum for researchers and applications developers from many different areas to share state-of-the-art research results and practical development experiences.
CONFERENCE TOPICS
- DATA MINING: Theory
- Text mining
- Web Content, Structure and Usage Mining
- Clustering technologies
- Categorisation methods
- Link analysis
- Data preparation
- DATA MINING: Applications
- Applications in business, industry and government
- Applications in science and engineering
- National Security
- Customer Relationship Management
- Competitive Intelligence
- Mining Environmental and Geospatial Data
- Business Process Management (BPM)
- INFORMATION ENGINEERING MANAGEMENT
- Enterprise Information Systems
- Applications of GIS and GPS
- Applications of MIS
- Remote sensing
- Information systems strategies and methodologies
- Bio informatics
CALL FOR PAPERS
Papers are invited on the topics outlined above and others falling within the scope of the meeting. Abstracts of no more than 300 words should be submitted by mail, fax, email or via our website as soon as possible.
ELECTRONIC SUBMISSION
We strongly encourage the submission of abstracts electronically.
Please complete the ABSTRACT SUBMISSION FORM on our website at:
html
OR submit your abstract via email to the Conference Secretariat at:
rgreen@wessex.ac.uk. Please insert Data Mining & Information Engineering 2007 in the subject line and also include your name, full address and conference topic in the main body of your email.
For further instructions on paper submission, please see:
TIME SCHEDULE
Please submit abstracts to the Conference Secretariat as soon as possible. The camera ready paper deadline will be advised after submission of abstracts.
PUBLICATION OF PAPERS
Papers presented at Data Mining & Information Engineering 2007 will be published by WIT Press in a volume of WIT Transactions on Information and Communication Technologies (ISSN 1743-3517). In addition to being available to delegates at the time of registration, the hardcover volume will be publicised directly to researchers and institutional libraries and distributed widely through the international book trade.
Selected papers will also be archived online in the Transactions of the Wessex Institute Collection. The Collection provides the international scientific community with immediate and permanent access to individual papers presented at WIT conferences. WIT Press is committed to offering authors the option to make their work freely accessible to colleagues through their Open-View service.
Coverage of WIT proceedings appears regularly in notable publications and databases, including Applied Mechanics Reviews (AMR), Cambridge Scientific Abstracts, Ei Compendex, INSPEC, Thompson Scientific, Scitech Book News, as well as the Directory of Published Proceedings.
Access to papers is available on a pay per view basis or as part of an institutional subscription, for further information please contact lsowinski@witpress.com or visit .
CONFERENCE SECRETARIAT
Rachel Green
Conference Manager
Data Mining & Information Engineering 2007
WESSEX INSTITUTE OF TECHNOLOGY
Ashurst Lodge, Ashurst
Southampton, SO40 7AA, UK
Tel: + 44 (0) 238 029 3223
Fax: + 44 (0) 238 029 2853
Email: rgreen@wessex.ac.uk
VISIT THE CONFERENCE WEBSITE AT: