The grand tour: a tool for viewing multidimensional data
SIAM Journal on Scientific and Statistical Computing
Knowledge discovery in databases: an overview
AI Magazine
Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management
Table visualizations: a formal model and its applications
Table visualizations: a formal model and its applications
HyperSlice: visualization of scalar functions of many variables
VIS '93 Proceedings of the 4th conference on Visualization '93
SMARViz: Soft Maximal Association Rules Visualization
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Visual data mining for identification of patterns and outliers in weather stations' data
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
WLAR-Viz: weighted least association rules visualization
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
| Hi-index | 0.00 |
The visual senses for humans have a unique status, offering a very broadband channel for information flow. Visual approaches to analysis and mining attempt to take advantage of our abilities to perceive pattern and structure in visual form and to make sense of, or interpret, what we see. Visual Data Mining techniques have proven to be of high value in exploratory data analysis and they also have a high potential for mining large databases. In this work, we try to investigate and expand the area of visual data mining by proposing a new 3-Dimensional visual data mining technique for the representation and mining of classification outcomes and association rules. Categories: I.2.4, I.2.6 Research Paper: Data Bases, Work Flow and Data mining