[AISWorld] Call for Chapters: Knowledge Discovery & Data Mining (KDDM) for Economic Development: Applications, Strategies and Techniques

[Kweku-Muata A Osei-Bryson]

Please consider submitting a chapter for for the book *Knowledge Discovery
& Data Mining (KDDM) for Economic Development: Applications, Strategies and
Techniques*. Thanks.

Book Objectives

The primary objective of this book is to fill some of the void in the
provision of suitable techniques and strategies in the successful
application of KDDM across multiple domains and region. The book is
primarily focus on topics of interest *to* or *about* developing
economies.  It is intended to serve as a reference guide for data analyst,
managers, executives, researchers and students in how to successfully
manage and implement data mining initiatives in organizations.



The book seeks to explain the KDDM process in a simple, practical and
easily implementable manner by:

§  Identifying and discussing some of the key challenges, issues and
considerations in managing data mining projects across all the KDDM
processes,

§  Discussing some of the key concepts and techniques in developing robust
and complete data mining objectives aligned to strategic business
objectives,

§  Discussing some of the key concepts and techniques necessary for
modeling data to satisfy requirements, and

§  Discussing the social implications of data mining including security,
privacy, ethical and legal considerations.
Target Audience

The book is intended for practitioners, academic researchers, including
experienced researchers, graduate and undergraduate students, engaged in
KDDM activities particularly in less developed and emerging countries. The
discourse on the methods, techniques and best practices presented will of
particular interests to persons and organizations that are relatively less
experienced in conducting KDDM initiatives. It will also showcase how to
design and implement these initiatives.
Recommended topics include, but are not limited to, the following:

§  Best practices and methodologies in KDDM

§  KDDM Process models

§  Privacy and security issues in KDDM projects

§  Management of KDDM projects:

-        Techniques and strategies

-       Success criteria

-       Critical success factors

§  Economics of data mining

§  Legal and legislative concerns of big data

§  Cases in KDDM from developing, emerging & transition economies

§  Applications and cases of KDDM in businesses and government such as:

-       Education

-       Healthcare

-       Agriculture

-       Tourism

-       Criminal Justice Administration

-       Mining industry

-       Social media

-       Environmental Issues

-       e-Government

-       SMEs

-       Financial and insurance sector

§  Computer security data mining


  Submission Procedure

Researchers and practitioners are invited to submit on or before *June 30,
2013*, a 1-3 page chapter proposal clearly outlining and explaining the
area of focus, objective and content of the proposed chapter. Authors of
accepted proposals will be notified by *July 20*, 2013 about the status of
their proposals and will be sent chapter writing guidelines. Full chapters
are expected to be submitted by *December 6, 2013*. All submitted chapters
will be reviewed on a double-blind review basis. Contributors may also be
requested to serve as reviewers.



*Please send all your submissions and/or enquiries to the editors a*t
kddm4dev at gmail.com. Also visit the website dedicated to the book,
https://sites.google.com/site/kddm4dev2013/ for further details and updates.
Publisher

This book is scheduled to be published by CRC Press, Taylor & Francis
Group. For additional information regarding the publisher, please visit
www.crcpress.com. This publication is anticipated to be released in 2014.
Important Dates

*June 30, 2013:* *Proposal Submission Deadline*
*July 20, 2013:* *Notification* *of Decision on Proposal*                  *
**December 6, 2013: **Full Chapter Submission Deadline** *

*February 7, 2014: **Review Results Returned*
*April 4, 2014:* *Final Chapter Submission Deadline*
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