========================================================== CALL FOR PAPERS International Journal of Image and Graphics Special Issue on Graphical Methods in Data Mining ========================================================== Guest Editors: Abraham Kandel, Horst Bunke, and Mark Last SCHEDULE --------------- Submission deadline of the completed paper: 16 July 2001 Notification of Decisions: 15 September 2001 Final paper: 15 October 2001 Publication: 2002 BACKGROUND --------------------- Traditional data mining methods include a variety of techniques for extracting quantitative patterns from large amounts of numeric and textual data. However, the raw data is often obtained in a graphical form as a 3-D image, a multimedia object, etc. In addition, the interpretability of the quantitative data mining results falls short of the visualization approach, where the human perception can identify patterns and anomalies in a fast and efficient way. Thus, graphical methods present a promising approach to such important challenges of data mining and knowledge discovery as improving understandability of discovered patterns, mining complex data types, interactive knowledge discovery, web mining, and others. The aim of this special issue is to present recent advances in the applications of graphical methods to data mining. Submitted papers should describe novel methodologies, detailed results of real-world data mining studies, or extensive comparison of existing methods and tools. In particular, we encourage submissions that discuss integration of graphical methods with well-established data mining techniques (e.g., decision trees or neural networks). Topics addressed by this issue include, but are not limited to: · Data visualization · Visualization of the knowledge discovery process · Graphical user interfaces (GUI) for data mining · Automated perceptions of visualized data · Data generalization and aggregation · Data cleaning · Outliers detection and analysis · Temporal and spatial data mining · Multimedia data mining · Visual cluster analysis · Web mining · Visualization of data mining results SUBMISSION INSTRUCTIONS ---------------------------------------- Please send three hard copies of your manuscript (marked “IJIG SPECIAL ISSUE”) by July 16, 2001 to the following address: Prof. Abraham Kandel, Department of Computer Science and Engineering, University of South Florida, 4202 E. Fowler Avenue, ENB 118, Tampa, FL 33620, USA Submitted papers must not exceed 30 pages and must conform to the IJIG style. Further details are available at the following Web site: http://www.wspc.com.sg/others/style_files/journal/journals_style_files.html Please direct any enquiries to Mark Last: mlast@csee.usf.edu -- --------------------------------------------- Mark Last Visiting Assistant Professor Computer Science and Engineering University of South Florida 4202 E. Fowler Ave., ENB 118 Tampa, FL 33620, USA Tel: 813/974-4763 Fax: 813/974-5456 mlast@csee.usf.edu WWW: http://www.csee.usf.edu/~mlast/