Please find a Call for Book Chapters (Second 
Call) and looking forward to your valued contributions.

Best Regards.
Hakik.


CALL FOR BOOK CHAPTERS
Submission Deadline: January 31, 2007
Data Mining Applications for Empowering Knowledge Societies
A book edited by Dr. Hakikur Rahman, SDNP, Bangladesh

Introduction
Data Mining and Data Warehousing techniques are 
increasingly becoming indispensable parts of 
corporate intelligence programs and are evolving 
into to a pervasive technology within activities 
that range from the utilization of historical 
data to predicting the success of an awareness 
campaign, or a promotional operation in search of 
sequence patterns used to act as a monitoring 
tools or in the analysis of genome chains. In 
essence, data mining is an interdisciplinary 
field driven by various multi-dimensional 
applications. On the one hand it involves 
techniques for machine learning, pattern 
recognition, statistics, algorithm, database, 
linguistic and visualization. On the other hand, 
one finds applications to understand human 
behavior, such as that of the end user. It also 
helps entrepreneurs to understand the type of 
transactions involved, including those needed to 
evaluate risks or detect frauds. Data mining can 
yield substantial knowledge from data primarily 
gathered for a wide range of applications. 
Various institutions have derived considerable 
benefits from its application, and many other 
industries and disciplines are now applying the 
methodology in increasing effect for their development.

The Overall Objective of the Book
In the global context, combination of constant 
technological innovation and increasing 
competitiveness makes the management of 
information a huge challenge which requires 
intricate decision-making processes built on 
reliable and opportune information, gathered from 
steady (internal and external) sources. The 
objective of the book is to examine the meaning 
and role of data mining in terms of development 
initiatives and its outcomes in developing 
economies. At the same time, it will give an 
in-depth look into the management of information 
in developed countries with a in similar 
perspective. Furthermore, this book aims to 
assist in preparing forthcoming policy 
initiatives to enhance the impact of global 
governance institutions, and to promote practices 
of accountability, transparency, and participation.

The Target Audience
It is assumed that numerous individuals, 
academics, researchers, engineers, professionals 
from government and , non-government, security 
and development organizations will be interested 
on this increasingly important topic for national 
development. This book will assist readers to 
understand the key practical and research issues 
related to applying data mining in development 
data analysis, cyber acclamations, digital 
deftness, security applications, intrinsic nature 
in the context of society uplift and as a whole 
and the, use of data and information for skills development.

Recommended topics may include, but are not limited to, the following:
·         Contributing to, access, and retrieve 
data from various (local, national, global) data systems and networks;
·         Promoting research efforts necessary 
for the development of tools required in all societal benefit areas;
·         Development and availability of shared 
data, metadata, and products required across societal benefit areas;
·         Encouraging and facilitating transition 
from research to operations of appropriate systems and techniques;
·         Developing recommended priorities for 
new or augmented efforts in human capacity building;
·         Encouraging adoption of existing and 
new standards to support broader data and information usability;
·         Data management approaches encompassing 
broader perspectives on the observation of data 
life cycle, from input through processing, 
archiving, and dissemination, including 
reprocessing, analysis and visualization of large 
volumes and diverse types of data;
·         Facilitating recording and storage of 
data in clearly defined formats, with metadata 
and quality indications to enable search, 
retrieval, and archiving as easily accessible data sets;
·         Facilitating user involvement and 
conducting outreach at global, regional, national and local levels;
·         Life-cycle data management, data 
integration and information fusion, data mining, 
network enhancement, and design optimization studies;
·         Development of models, data 
assimilation modules, and other algorithms that 
are able to produce global and regional products more effectively;
·         Enhanced analysis and interpretation of 
data to enable development of decision-support 
tools and to advance understanding in the societal benefit areas.


SUBMISSION PROCEDURE
Researchers and practitioners are invited to 
submit on or before November 15, 2006, a 2-5 page 
manuscript proposal clearly explaining the 
mission and concerns of the proposed chapter. 
Authors of accepted proposals will be notified by 
November 30, 2006 about the status of their 
proposals and sent chapter organizational 
guidelines. Full chapters are expected to be 
submitted by January 31, 2007. All submitted 
chapters will be reviewed on a double-blind 
review basis. The book is scheduled to be 
published by Idea Group, Inc., 
<http://www.idea-group.com/>www.idea-group.com, 
publisher of the Idea Group Publishing, 
Information Science Publishing, IRM Press, 
CyberTech Publishing, and Idea Group Reference imprints.

Inquiries and Submissions can be forwarded 
electronically (Word document) or by mail to:


Dr. Hakikur Rahman
SDNP Bangladesh (UNDP)
BIDS, E-17 Agargaon, Dhaka-1207, Bangladesh.
Tel.: +880 2 8126204
FAX: +880 2 9118543
GSM: +880 189 228939
e-mail: [EMAIL PROTECTED] , [EMAIL PROTECTED]  
-- 
This message has been scanned for viruses and
dangerous content by MailScanner, and is
believed to be clean.

_______________________________________________
DIGITALDIVIDE mailing list
DIGITALDIVIDE@mailman.edc.org
http://mailman.edc.org/mailman/listinfo/digitaldivide
To unsubscribe, send a message to [EMAIL PROTECTED] with the word UNSUBSCRIBE 
in the body of the message.

Reply via email to