7639956
A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data
Interactive exploration of multidimensional data sets is challenging because: (1) it is difficult to comprehend patterns in more than three dimensions, and (2) current systems often are a patchwork of graphical and statistical methods leaving many researchers uncertain about how to explore their data in an orderly manner. We offer a set of principles and a novel rank-by-feature framework that could enable users to better understand distributions in one (1D) or two dimensions (2D), and then discover relationships, clusters, gaps, outliers, and other features. Users of our framework can view graphical presentations (histograms, boxplots, and scatterplots), and then choose a feature detection criterion to rank 1D or 2D axis-parallel projections. By combining information visualization techniques (overview, coordination, and dynamic query) with summaries and statistical methods users can systematically examine the most important 1D and 2D axis-parallel projections. We summarize our Graphics, Ranking, and Interaction for Discovery (GRID) principles as: (1) study 1D, study 2D, then find features (2) ranking guides insight, statistics confirm. We implemented the rank-by-feature framework in the Hierarchical Clustering Explorer, but the same data exploration principles could enable users to organize their discovery process so as to produce more thorough analyses and extract deeper insights in any multidimensional data application, such as spreadsheets, statistical packages, or information visualization tools.
14787313
ACM's computing professionals face new challenges
Technologists can make a difference on so many critical fronts.
44345836
Path Expressions for Complex Queries and Automatic Database Program Conversion
Our efforts to develop an automatic database system conversion facility yielded a powerful, yet simple query language which was designed for ease of conversion. The path expression of this query language is a convenient and appealing notation for describing complex traversals with multiple boolean qualifications. This paper describes the path expression, shows how automatic conversions can be done, introduces the boolean functions as part of the basic path expression, offers four extensions (path macros, implied path, path replacement, and path optimization), and discusses some implementation issues.
915072
Exploring auction databases through interactive visualization
We introduce AuctionExplorer, a suite of tools for exploring databases of online auctions. The suite combines tools for collecting, processing, and interactively exploring auction attributes (e.g., seller rating), and the bid history (price evolution represented as a time series). Part of AuctionExplorer's power comes from its coupling of the two information structures, thereby allowing exploration of relationships between them. Exploration can be directed by hypothesis testing or exploratory data analysis. We propose a process for visual data analysis and illustrate AuctionExplorer's operations with a dataset of eBay auctions. Insights may improve seller, bidder, auction house, and other vendors' understanding of the market, thereby assisting their decision making process. © 2006 Elsevier B.V. All rights reserved.
8937545
Universal usability
see knowledge so disseminated through the mass of mankind that it may…reach even the extremes of society: beggars and kings.
12355336
Direct annotation: a drag-and-drop strategy for labeling photos
Annotating photographs is such a time-consuming, tedious and error-prone data entry task that it discourages most owners of personal photo libraries. By allowing the user to drag labels, such as personal names, from a scrolling list and drop them onto a photo, we believe we can make the task faster, easier and more appealing. Since the names are entered in a database, searching for all photos of a friend or family member is dramatically simplified. We describe the user interface design and the database schema to support direct annotation, as implemented in our PhotoFinder prototype.
36247121
Navigating in hyperspace: designing a structure-based toolbox
26554081
Structural analysis of hypertexts: identifying hierarchies and useful metrics
Hypertext users often suffer from the “lost in hyperspace” problem: disorientation from too many jumps while traversing a complex network. One solution to this problem is improved authoring to create more comprehensible structures. This paper proposes several authoring tools, based on hypertext structure analysis.
In many hypertext systems authors are encouraged to create hierarchical structures, but when writing, the hierarchy is lost because of the inclusion of cross-reference links. The first part of this paper looks at ways of recovering lost hierarchies and finding new ones, offering authors different views of the same hypertext. The second part helps authors by identifying properties of the hypertext document. Multiple metrics are developed including compactness and stratum. Compactness indicates the intrinsic connectedness of the hypertext, and stratum reveals to what degree the hypertext is organized so that some nodes must be read before others.
Several existing hypertexts are used to illustrate the benefits of each technique. The collection of techniques provides a multifaceted view of the hypertext, which should allow authors to reduce undesired structural complexity and create documents that readers can traverse more easily.