1,720,962 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Eine mehrschichtige Architektur für die Analyse von Log Dateien in komplexen IT-Systemen
No full textIn the rapidly evolving landscape of Information Technology (IT), the stability and reliability of IT systems and services are important because they underpin numerous aspects of modern life.
However, their increasing complexity poses significant challenges for DevOps teams, who are responsible for their implementation and maintenance. Log analysis, a core component of Artificial Intelligence for IT Operations (AIOps), plays an essential role by serving as a major source for investigating the complex behaviors and failures of IT systems. Therefore, this dissertation addresses the critical need for effective log analysis in complex IT systems by introducing a three-layered architecture designed to enhance the capabilities of DevOps teams in failure resolution.
The first layer, Log Investigation, focuses on autonomous labeling and anomaly classification to provide the groundwork for the next layers. We developed a method that accurately labels log data autonomously, facilitating supervised model training and the precise evaluation of anomaly detection methods.
In addition, we created a taxonomy to classify anomalies into three different categories, guaranteeing the selection of a suitable anomaly detection method. Within the second layer, Anomaly Detection, we identify behaviors of IT systems that deviate from the norm. Therefore, we propose a flexible anomaly detection method adaptable to various training scenarios: Unsupervised, weakly supervised, or supervised.
Evaluations on public and industry data sets demonstrate that our method achieves F1-Scores ranging from 0.98 to 1.0 in different training scenarios, ensuring a reliable anomaly detection.
The third layer addresses Root Cause Analysis. With our developed root cause analysis method we can identify a minimal set of log lines that describe a failure along with its origin and the sequence of events that led to it. By balancing training data and identifying the primary services involved, our root cause analysis method consistently identifies 90-98 % of root cause log lines within the top 10 candidates, providing precise and actionable insights for failure mitigation.
Our research answers the overarching question of how log analysis methods can be designed and optimized to help DevOps teams resolve failures efficiently. By integrating these three layers, our architecture equips DevOps teams with the necessary methods to enhance IT system reliability.In der sich schnell entwickelnden Landschaft der Informationstechnologie (IT) sind die Stabilität und Zuverlässigkeit von IT-Systemen und -Diensten von großer Bedeutung. Diese Systeme unterstützen zahlreiche Aspekte des modernen Lebens, aber ihre zunehmende Komplexität stellt DevOps-Teams, die für ihre Wartung verantwortlich sind, vor große Herausforderungen. Die Log-Analyse, eine Kernkomponente der Artificial Intelligence for IT-Operations (AIOps), spielt eine wesentliche Rolle, da sie als eine der Hauptquellen für die Untersuchung von IT-Systemen dient und als Grundlage für eine
Fehleruntersuchung benutzt werden kann. Diese Dissertation befasst sich daher mit der Log-Analyse in komplexen IT-Systemen, indem sie eine dreischichtige Architektur vorstellt, die DevOps-Teams bei der Fehleranalyse und Fehlerbehebung unterstützt.
Die erste Ebene, Log Investigation, konzentriert sich auf das automatisierte Labeln von Datensätzen und die Klassifikation von Anomalien. Dafür haben wir einerseits eine Methode entwickelt, die Anomalien selbstständig labelt und anderseits eine Taxonomie zur Klassifikation von Anomalien erstellt. Somit gewährleistet diese Ebene eine Auswertung von Anomalieerkennungsmethoden durch die Bereitstellung nahezu perfekt gelabelter Datensätze sowie eine zielgerichtete Auswahl von Anomalieerkennungsmethoden durch die Bereitstellung von verschiedenen Anomalienarten in den Log-Daten.
Auf der zweiten Ebene, Anomaly Detection, beschreiben wir eine allgemeine Anomalieerkennungsmethode, die sich an verschiedene Trainingsbedingungen anpassen lässt: unbeaufsichtigt, schwach überwacht oder überwacht. Dabei zeigen unsere Auswertungen auf öffentlichen und industriellen Datensätzen, dass unsere Methode in verschiedenen Trainingsszenarien F1-Werte von 0,98 bis 1,0 erreichen kann und somit eine zuverlässige Anomalieerkennung gewährleistet.
Die dritte Ebene befasst sich mit der Ursachenanalyse, wobei irrelevante Anomalien herausgefiltert werden. Dafür erstellen wir automatisch ausbalancierte Trainingsdaten, um unsere Root Cause Analyse Methode zu trainieren. Im Anschluss analysieren wir, welche Services an dem Fehler beteiligt sind und präsentieren die entsprechenden anomalen Log-Zeilen dem DevOps Team. Dabei befinden sich 90-98% der präsentierten Log-Zeilen innerhalb der Top-10-Kandidaten und liefern präzise Erkenntnisse zur Fehlerbehebung.
Im Ergebnis beantwortet diese Forschungsarbeit die übergreifende Frage, wie eine Log-Analyse so gestaltet und optimiert werden kann, dass sie DevOps-Teams genügend Details liefert, damit diese Fehler im System beheben können. Durch die Integration dieser drei Ebenen: Log Investigation, Anomaly Detection und Root Cause Analyse, stattet unsere Architektur DevOps-Teams mit den notwendigen Werkzeugen aus, um die Zuverlässigkeit und Leistung von IT-Systemen zu verbessern
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn 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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