1,720,962 research outputs found
Visualization Techniques for Interactive Visual Analysis of Multidimensional Big Data
Visual analysis has been used in many fields of research, such as health, biology, chemistry, social science, astronomy, and physics, to solve data-driven problems. Visualization is an effective tool to communicate, understand, extract information, and interact with data. However, the physical limitations of human visual perception prevent the direct visualization and understanding of multidimensional data. Projecting the data into a lower-dimensional space with a variety of dimensionality reduction techniques or mapping the data to parallel coordinates are two of the most widely used methods for visualizing multidimensional data. Interactive visual analysis plays an essential role in visual analytics to integrate human intelligence into visualization for knowledge discovery. The amount of multidimensional data available in various fields of research has been growing at a tremendous rate. Multidimensional big data brings new challenges and opportunities to visualization techniques for supporting interactive visual analysis.
This thesis presents a systematic review and two practical studies in the field of data visualization, focusing on interactive visual analysis of multidimensional big data. Specifically, it presents two scalable lightweight visualization techniques to solve the scalability challenge of parallel coordinates and dimensionality reduction techniques for supporting interactive visual analysis of multidimensional big data. The research for this thesis is based on several widely used benchmark multidimensional datasets obtained from public data repositories and synthesized datasets with hundreds of dimensions and millions of data points.
In the systematic review, I propose a novel taxonomy of state-of-the-art visual analytics applications based on the dimensionality of data and visualization, and the types of interactions, and summarize the challenges and future directions for interactive visual analysis of multidimensional big data. The results of the systematic review lead to the two practical studies. In the first practical study, I propose a scalable lightweight bundling method to address the challenge of interactive visual analysis of multidimensional big data using parallel coordinates. It accelerates the clustering process of the data and helps users discover trends and detect outliers in the data by integrating human intelligence into the two-dimensional data binning using novel interactions. It uses the frequency-based representation to render the clusters as histogram-like bundles to reveal the distribution of the data, eliminate visual clutter and overplotting in parallel coordinates, and accelerate the rendering process. In the second practical study, I propose a scalable method, named ColorPCA, to address the challenge of automatically colorizing unlabeled multidimensional big data for discovering classes in the data. It combines principal component analysis and ray casting to compute the composite RGBA color of the data. It provides a fast way to enhance the visualization of the data in lower dimensional space and help the users find suitable parameters of dimensionality reduction algorithms to balance the running time and the projection results.
Based on the two proposed visualization techniques, I have developed two web based applications to support interactive visual analysis of multidimensional big data with parallel coordinates and lower-dimensional projections. The usefulness and effectiveness of the two proposed visualization techniques were demonstrated by case studies and user studies using the applications with benchmark datasets. The scalability of the two proposed visualization techniques were evaluated via scalability analysis with synthesized datasets. The experimental results show that the two proposed visualization techniques are well scalable for multidimensional big data. For example, the bundling method can support real-time interactions for clustering millions of multidimensional data records without pre-computation of the data and real-time visualization of the bundling result in web-based parallel coordinates plot without hardware-accelerated rendering. With a one-time preprocessing of the data, ColorPCA can colorize millions of multidimensional data points in real-time without hardware acceleration
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
In Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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