By Ed H. Chi (auth.)

Fundamental recommendations in figuring out details were elusive for a very long time. the sphere of man-made Intelligence has proposed the Turing attempt with the intention to try out for the "smart" behaviors of laptop courses that express human-like characteristics. such as the Turing try out for the sector of Human­ details interplay (HII), getting details to the folk that want them and aiding them to appreciate the data is the recent problem of the internet period. In a brief period of time, the infrastructure of the net grew to become ubiquitious not only by way of protocols and transcontinental cables but additionally by way of daily units able to recalling network-stored information, occasionally twine­ lessly. for this reason, as those infrastructures turn into fact, our cognizance on HII concerns must shift from details entry to details sensemaking, a comparatively new time period coined to explain the method of digesting details and figuring out its constitution and intricacies that allows you to make judgements and take action.

Show description

Read or Download A Framework for Visualizing Information PDF

Best structured design books

Data Structures and Algorithm Analysis in Java, Third Edition

With its specialise in growing effective facts buildings and algorithms, this accomplished textual content is helping readers know the way to pick or layout the instruments that may top clear up particular difficulties. It makes use of Java because the programming language and is acceptable for second-year info constitution classes and machine technological know-how classes in set of rules research.

Modeling in Applied Sciences: A Kinetic Theory Approach

Modeling complicated organic, chemical, and actual structures, within the context of spatially heterogeneous mediums, is a hard activity for scientists and engineers utilizing conventional tools of study. Modeling in technologies is a entire survey of modeling huge platforms utilizing kinetic equations, and specifically the Boltzmann equation and its generalizations.

Principles of Digital Image Synthesis

Photograph synthesis, or rendering, is a box of transformation: it changesgeometry and physics into significant pictures. as the so much popularalgorithms often swap, it truly is more and more vital for researchersand implementors to have a easy knowing of the foundations of imagesynthesis. concentrating on concept, Andrew Glassner presents a comprehensiveexplanation of the 3 center fields of research that come jointly to formdigital photo synthesis: the human visible method, electronic signalprocessing, and the interplay of topic and lightweight.

Bionic Optimization in Structural Design: Stochastically Based Methods to Improve the Performance of Parts and Assemblies

The ebook offers feedback on how one can begin utilizing bionic optimization equipment, together with pseudo-code examples of every of the $64000 methods and descriptions of the way to enhance them. the best equipment for accelerating the reviews are mentioned. those comprise the choice of measurement and generations of a study’s parameters, amendment of those using parameters, switching to gradient tools while imminent neighborhood maxima, and using parallel operating undefined.

Extra info for A Framework for Visualizing Information

Example text

Cone Trees [87], Hyperbolic Trees [59], TreeMaps [56] and Disk Trees [28] can be used to visualize a wide variety of hierarchical data. • Visualization Transformation Operators can be applied to data domains with similar goals. For example, multi-dimensional dustering can be used to reduce the dimensionality of any problern that can be formulated using a feature space. Breadth-first traversal can be used to produce a hierarchy out of a graph network. • Data Transformation operators are specific to the particular data structure from an application domain, because they take the data structure as input, and output an analytical abstraction.

Moreover, the added simplification of the operator space in the data-centric approach does not represent significant complexity savings. Since a visualization system needs to deal with many different data types, the operator space of such systems will be very complex anyway. Our operator-centric approach is a significant departure from past visualization models, and gives the Data State Model the ability to classify different operators in finer grain detail. By taking the approach of classifying the space of operators in finer detail, we can more easily reuse operator definitions, and actual code implementations.

In our experience, this kind of predictability is crucial in the success of the Visualization Spreadsheet. Second, application programmers can use this model to extend general visualization system to new data domains. This framework enables programmers to identify operators that are not domain-specific and, hence, that they can easily reuse. For example, in the Visualization Spreadsheet, the system must be extended with domain-specific analysis operators such as textual document dustering and visualization to enable it tobe applicable in specific application tasks, such as analyzing financial documents.

Download PDF sample

Rated 4.37 of 5 – based on 44 votes