Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Clustering user queries of a search engine
Proceedings of the 10th international conference on World Wide Web
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Distance-based outliers: algorithms and applications
The VLDB Journal — The International Journal on Very Large Data Bases
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Interactive Visualization of Multiple Query Results
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Detecting Changes in XML Documents
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
XmdvTool: integrating multiple methods for visualizing multivariate data
VIS '94 Proceedings of the conference on Visualization '94
Question answering from the web using knowledge annotation and knowledge mining techniques
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
IEEE Transactions on Visualization and Computer Graphics
Tracking and Organizing Visual Exploration Activities across Systems and Tools
IV '07 Proceedings of the 11th International Conference Information Visualization
Nugget discovery in visual exploration environments by query consolidation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
From visual data exploration to visual data mining: a survey
IEEE Transactions on Visualization and Computer Graphics
Surveying the complementary role of automatic data analysis and visualization in knowledge discovery
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
ACM SIGKDD Explorations Newsletter
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Visualization systems traditionally focus on graphical representation of information. They tend not to provide integrated analytical services that could aid users in tackling complex knowledge discovery tasks. Users' exploration in such environments is usually impeded due to several problems: 1) valuable information is hard to discover when too much data is visualized on the screen; 2) Users have to manage and organize their discoveries off line, because no systematic discovery management mechanism exists; 3) their discoveries based on visual exploration alone may lack accuracy; and 4)they have no convenient access to the important knowledge learned by other users. To tackle these problems, it has been recognized that analytical tools must be introduced into visualization systems. In this paper, we present a novel analysis-guided exploration system, called the Nugget Management System (NMS). It leverages the collaborative effort of human comprehensibility and machine computations to facilitate users' visual exploration processes. Specifically, NMS first helps users extract the valuable information (nuggets) hidden in datasets based on their interests. Given that similar nuggets may be rediscovered by different users, NMS consolidates the nugget candidate set by clustering based on their semantic similarity. To solve the problem of inaccurate discoveries, localized data mining techniques are applied to refine the nuggets to best represent the captured patterns in datasets. Visualization techniques are then employed to present our collected nugget pool and thus create the nugget view. Based on the nugget view, interaction techniques are designed to help users observe and organize the nuggets in a more intuitive manner and eventually faciliate their sense-making process. We integrated NMS into XmdvTool, a freeware multivariate visualization system. User studies were performed to compare the users' efficiency and accuracy in finishing tasks on real datasets, with and without the help of NMS. Our user studies confirmed the effectiveness of NMS.