A History Mechanism for Visual Data Mining

Visual analytics tools provide powerful visual representations in order to support the sense-making process. In this process, analysts typically iterate through sequences of steps many times, varying parameters each time. Few visual analytics tools support this process well, nor do they provide support for visualizing and understanding the analysis process itself. To help analysts understand, explore, reference, and reuse their analysis process, we present a visual analytics system named CzSaw (See-Saw) that provides an editable and re-playable history navigation channel in addition to multiple visual representations of document collections and the entities within them (in a manner inspired by Jigsaw [24]). Conventional history navigation tools range from basic undo and redo to branching timelines of user actions. In CzSaw's approach to this, first, user interactions are translated into a script language that drives the underlying scripting-driven propagation system. The latter allows analysts to edit analysis steps, and ultimately to program them. Second, on this base, we build both a history view showing progress and alternative paths, and a dependency graph showing the underlying logic of the analysis and dependency relations among the results of each step. These tools result in a visual model of the sense-making process, providing a way for analysts to visualize their analysis process, to reinterpret the problem, explore alternative paths, extract analysis patterns from existing history, and reuse them with other related analyses.

show abstract

“…[16,17]. Looking at patterns of these actions may provide helpful information to analysts about the analysis process.…”

Section: Resultsmentioning

confidence: 99%

“…This interface shows thumbnails of the Tableau visuals which can be bookmarked and annotated. Kreuseler et al [17] describe a history visualization mechanism for visual data mining, somewhat similar to CzSaw's history view. A tree shows the action hierarchy, with nodes indicating changed views.…”

Section: Related Workmentioning

confidence: 99%

Capturing and supporting the analysis process

Kadivar

Chen

Dunsmuir

et al. 2009

2009 IEEE Symposium on Visual Analytics Science and Technology

View full text Add to dashboard Cite

show abstract

“…Kreuseleret al [8] proposed a history mechanism for exploratory data mining. They used a tree-structure, similar to a vistrail, to represent the change history, and described how undo and redo operations could be calculated in this tree structure.…”

Section: Related Work and Discussionmentioning

confidence: 99%

Managing Rapidly-Evolving Scientific Workflows

Freire

Silva

Callahan

et al. 2006

Provenance and Annotation of Data

186

145

View full text Add to dashboard Cite

Abstract.We give an overview of VisTrails, a system that provides an infrastructure for systematically capturing detailed provenance and streamlining the data exploration process. A key feature that sets VisTrails apart from previous visualization and scientific workflow systems is a novel action-based mechanism that uniformly captures provenance for data products and workflows used to generate these products. This mechanism not only ensures reproducibility of results, but it also simplifies data exploration by allowing scientists to easily navigate through the space of workflows and parameter settings for an exploration task.

show abstract

“…For supporting visual analysis tasks, Heer et al describe a design space of graphical history tools and provide a review of recent research in this area [13]. History tracking widgets with branching structures have also been investigated for visual analytics tasks [14,15]. For history tracking in web browsers, the MosaicG graphical history constructed a node-link representation of web browsing history with pages connected according to the order that they were visited by the user [16].…”

Section: History Trackingmentioning

confidence: 99%

Hoptrees: Branching History Navigation for Hierarchies

Brooks

West

Aragon

et al. 2013

Human-Computer Interaction – INTERACT 2013

View full text Add to dashboard Cite

Abstract.Designing software for exploring hierarchical data sets is challenging because users can easily become lost in large hierarchies. We present a novel interface, the hoptree, to assist users with navigating large hierarchies. The hoptree preserves navigational history and context and allows one-click navigation to recently-visited locations. We describe the design of hoptrees and an implementation that we created for a tree exploration application. We discuss the potential for hoptrees to be used in a wide variety of hierarchy navigation scenarios. Through a controlled experiment, we compared the effectiveness of hoptrees to a breadcrumb navigation interface. Study participants overwhelmingly preferred the hoptree, with improved time-on-task with no difference in error rates.

show abstract

A History Mechanism for Visual Data Mining

Cited by 48 publications

References 9 publications

Capturing and supporting the analysis process

Capturing and supporting the analysis process

Managing Rapidly-Evolving Scientific Workflows

Hoptrees: Branching History Navigation for Hierarchies

Contact Info

Product

Resources

About