Single Level Drill Down Interactive Visualization Technique for Descriptive Data Mining Results
نویسندگان
چکیده
Information technology plays vital role to enhance our knowledge and improve social life. Information presentation is as important as information itself, and interaction with these information enable one to understand these information quickly and easily. In this article, the information is explore up to one level granularity by introducing single level drill down interactive technique for descriptive data mining tasks results in order to convey inside of the data quickly, easily and effectively. The experimentation being done on Amazon dataset and two information visualization techniques i.e. column charts and bar charts. The interactive technique is comprehensively analyzing in both visualization techniques with respect to the visualization features. The drill down approach in column chart shows better performance comparatively.
منابع مشابه
Multiple Foci Drill-Down through Tuple and Attribute Polyarchies in Tabular Data
Information analysis often involves decomposing data into sub-groups to allow for comparison and identification of relationships. Breakdown Visualization provides a mechanism to support this analysis through user guided drill-down of polyarchical metadata. This metadata describes multiple hierarchical structures for organizing tuple aggregation and table attributes. This structure is seen in sp...
متن کاملMultiple Foci Drill-Down through Tuple and Attribute Aggregation Polyarchies in Tabular Data
Information analysis often involves decomposing data into sub-groups to allow for comparison and identification of relationships. Breakdown Visualization provides a mechanism to support this analysis through user guided drill-down of polyarchical metadata. This metadata describes multiple hierarchical structures for organizing tuple aggregations and table attributes. This structure is seen in f...
متن کاملInteractive Poster: Exploring OLAP Aggregates with Hierarchical Visualization Techniques
Analysts interact with data cubes in a predominantly “drill-down” fashion, i.e. from coarse grained aggregates towards the desired level of detail. Hierarchical visualization techniques offer an adequate structure for mapping the logic of the exploration due to preserving the overview of the entire interaction and providing the details of every drill-down step. We present a novel user interface...
متن کاملTaggle: Scalable Visualization of Tabular Data through Aggregation
Visualization of tabular data—for both presentation and exploration purposes—is a well-researched area. Although effective visual presentations of complex tables are supported by various plotting libraries, creating such tables is a tedious process and requires scripting skills. In contrast, interactive table visualizations that are designed for exploration purposes either operate at the level ...
متن کاملAnalysis and visualization of large complex attack graphs for networks security
In this paper, we have proposed a comprehensive and innovative approach for analysis and visualization of large complex multi-step cyber attack graphs. As an automated tool for cyber attack detection, prediction, and visualization, the newly proposed method transforms large quantities of network security data into real-time actionable intelligence, which can be used to (1) provide guidance on n...
متن کامل