1,720,953 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Investigating the Role of SMOTE Sampling and LIME Interpretability in Enhancing Fraud Detection for E-commerce Platforms
No full textFor many years, researchers have been interested in the problem of fraud detection in the financial sector. Both Depending on the data availability and use cases, supervised and unsupervised algorithms are utilized to detect fraudulent transactions. For the supervised binary classification used in this work, detection of fraud using a real dataset from the e-commerce business Vesta. Since the dataset includes actual data, to maintain the data's secrecy, the majority of the characteristics are hidden. The models for machine learning Specifically, Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), and Extreme Gradient Boosted For detecting fraud, the classifier (XGB) and artificial neural network (ANN) are taken into consideration. This research centred on the two fundamental obstacles to fraud detection, model interpretability and skewed data. A sampling strategy has been utilized to balance the distribution of the target variable since the data is extremely skewed. The main goal of this study is to determine how well the oversampling approach SMOTE sampling can solve the problem of class imbalance that arises in fraud detection. Due to the fact that fraudulent transactions occur far less frequently than valid ones, the class imbalance problem frequently results in inferior model performance. To address this mismatch and improve the overall prediction power of fraud detection models, SMOTE builds synthetic instances of the minority class. This paper examines how SMOTE affects various machine learning algorithms, evaluating its capacity to enhance the identification of fraudulent transactions through thorough testing and performance assessment. Furthermore, this article discusses the interpretability of LIME-based fraud detection algorithms. Although machine learning models are highly predictive, their inner workings are sometimes confusing and opaque. LIME, an interpretable machine learning approach, attempts to fill this gap by providing explanations of model predictions that are simple enough for the average person to understand. By creating locally accurate explanations, LIME increases openness and accountability in the fraud detection process and allows stakeholders to understand the thinking behind the model's decision-making. In the context of fraud detection in the VERSTA dataset, the study assesses how LIME explains the complex interactions between features and outcomes. The effectiveness of models with and without SMOTE sampling was analysed in this study. Except for ANN, it has been seen that SMOTE 2 significantly enhances model performance. The second phase of the investigation involves the models' LIME interpretation. To identify the traits shared by these explanations, the feature significance of the models is compared to these LIME interpretations. The LIME interpretations have been criticized mostly for their consistency and stability. The validity of model-neutral explanations like LIME has been contested by several scholars. An unique strategy for combating fraud in the e-commerce space is presented by the combination of SMOTE sampling and LIME interpretability. The findings of this study shed light on SMOTE's effectiveness in dealing with class imbalance and its consequent impact on model performance. The paper also emphasizes how LIME enhances model interpretability, enabling stakeholders to make wise decisions in light of the model's insights. This paper makes a contribution to the advancement of fraud detection approaches in the complex and dynamic environment of e-commerce by tackling the combined concerns of accuracy and interpretability. In summary, this study provides a thorough analysis of how SMOTE sampling and LIME interpretability interact in the context of fraud detection. The paper highlights the potential of these strategies to strengthen the resistance of e-commerce systems against fraudulent activities through empirical validation on the VERSTA dataset, thereby enabling a more secure and reliable digital marketplac
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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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