Call for Papers
Special Issue of IEEE Intelligent Systems
Data and
Information Cleaning and Preprocessing
Submissions due
As the Web rapidly becomes an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. However, data and information from these external sources might be untrustworthy or even fraudulent; they can both disguise the real patterns useful to the application and degrade system performance. So, how to efficiently identify quality knowledge from different data sources presents a significant challenge. This special issue of IEEE Intelligent Systems intends to be a leading forum for timely, in-depth presentation of progress in the theory and principles underlying the cleaning and preprocessing of data and information.
Topics of Interest
* Data preparation and its theories
* Data cleaning
* Data preprocessing
* Data reduction
* Data classification and clustering
* Interactive and integrated data mining environments
* Group data mining systems
* Data preparation for multidatabase mining
* Quality measurements
Important Dates
Submission deadline
Notification of acceptance
Final version due
Guest Editors
Shichao Zhang and Chengqi Zhang
University of Technology Sydney, Australia
Submission
Guidelines
Submissions should be from 3,000 to 7,500 words
(counting a standard figure or table as 250 words) and should follow the magazine’s
style and presentation guidelines (see http://computer.org/intelligent/author.htm).
References should be limited to 10 citations.
To submit a Manuscript
Access the IEEE Computer Society Web-based system, Manuscript Central, at http://cs-ieee.manuscriptcentral.com/index.html.