Advances in Data Warehousing and Mining
Book Series
Book Series:
Advances in Data Warehousing and Mining
IGI Publishing, USA
Official website:

Advances in Data Warehousing and Mining aims to publish and disseminate knowledge on an international basis in the areas of data warehousing and data mining, and focuses on the integration between the fields of data warehousing and data mining, with emphasize on the applicability to real world problems.


The book series will cover (but will not be limited to) the following topics:
    Data Warehousing
    • Data Models
    • Data structures
    • Design
    • Data warehousing process
    • Online analytical process
    • Tools and languages
    • Data mart and practical issues
    Data Mining
    • Data Mining Methods
    • Algorithms
    • Mining Databases
    • Knowledge discovery process
    • Tools and languages and application issues


Potential EDITORS should download a book proposal template and a reviewer assessment form before sending a book proposal. Further information can be obtained from the Book Series Editor-in-Chief (see below).


David Taniar
Clayton School of Information Technology
Monash University
Clayton, Victoria 3800
Phone: +61 3 9905 9693
Fax: +61 3 9905 5159

Associate Editors:

Xiaohua (Tony) Hu, Drexel University, USA
Wenny Rahayu, La Trobe University, Australia

Advisory Board Members:

Hussein Abbass, University of New South Wales, Australia
Mafruz Zaman Ashrafi, Institute for Infocomm Research, Singapore
Jérôme Darmont, University of Lyon 2, France
Lixin Fu, University of North Carolina at Greensboro, USA
Lance Chun Che Fung, Murdoch University, Australia
Stephan Kudyba, New Jersey Institute of Technology, USA
Zongmin Ma, Northeastern University, China
Anthony Scime, State University of New York College at Brockport, USA
Robert Wrembel, Poznan University of Technology, Poland
Xingquan Zhu, Florida Atlantic University, USA

Books published in this series:

Research and Trends in Data Mining Technologies and Applications (2007)

Journal Links:

Intl. J. of Data Warehousing and Mining

Intl. J. of Business Intelligence and Data Mining


 © 2007 David Taniar