1,720,959 research outputs found

    THE ROLE OF VISUALIZATION IN UNDERSTANDING DATA

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    The act of transforming data into a visual representation, such as a map or graph, to make it easier for the human brain to interpret and derive meaning from it is known as data visualization. The primary purpose of data visualization is to assist in the detection of patterns, trends, and outliers in large data sets. The terms “information graphics” and “statistical graphics” are commonly used interchangeably. Data visualization is a process in the field of data science that involves displaying data after it has been collected, processed, and modeled. The Data Presentation Architecture (DPA) discipline aims to search, locate, alter, prepare, and transport data in the most efficient way feasible.Keywords: data, visualization, information, visualization tools, customer

    The Technology Dilemma - Defining the Line Between Need and Addiction

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    It is possible that addiction is a subject that bears philosophical investigation due to the widespread nature of the problem and the degree to which it is intimately recognizable to us. The field of psychology, with its primary focus on clinical modes of discourse, has historically been the only one to undertake research in the area of addiction. Developing an effective treatment strategy for addiction is a very different challenge than merely comprehending the nature of addiction itself, especially if we add technology to the equation. However, if philosophy is able to contribute to such an understanding, then it may not be owing just to the insightful musings of philosophers, but rather to the increasingly provocative nature of the problem, issue, or even reality that is being investigated. It is possible that addiction is more of a forerunner of shifting cultural horizons and a symbol of an impending (human) crisis than it is merely a medical or clinical condition. If this is the case, then addiction is indicative of an impending crisis. By presenting a point of entrance to this historical fork in the road, it is possible that the subject of addiction can become debatable, or in other words, transform into a philosophical conundrum. This paper is trying to give in insight of the thin line between need and addiction in using technology

    BUSINESS INTELLIGENCE AS A DRIVING FORCE FOR QUALITATIVE DECISIONS

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    The optimization of information for better decision-making has now become the major challenge for any company in order to position itself and gain in terms of competitive advantage. As a result, the terms: “economic intelligence” and “Business intelligence” are more and more common these days, especially with the advent of new information and communication technologies. However, the definition of each of the two notions remains vague and their meanings often confused. Indeed, by misuse of language, these two disciplines are considered to be equivalent while there exists between them a relationship that is all the more complex as it is complementary.Keywords: business, intelligence, data, decision, organization

    THE ROLE OF DATA SCIENCE IN SIMPLIFYING HOW WE UNDERSTAND DATA

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    Data science is a discipline that allows exploration and analysis of raw data within a company. This analytics concept is essential for predicting and anticipating problems that may arise. What are the goals of data science? What is the job of a data scientist? Why is a data scientist of great value to a company? Find the answers to these questions in the following article. Data science or data science is a concept that combines data inference with the development of algorithms and technologies. Data science is a discipline that solves complex analytical problems within an organization. This concerns the masses of data stored in corporate databases. This data analysis is used by companies to generate added value for them.Keywords: data, data science, data scientist, analysis, organization

    THE IMPACT OF DIGITAL COMMUNICATION ON HUMAN INTERACTION

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    Digital communication is simply all the media related to the digital world that allow a brand or a company to increase its availability while improving its visibility on the internet. Therefore, it is now essential for companies to use this type of communication, which is opposed to so-called traditional communication and which, in turn, is linked to conventional displays and advertising standards. This form of marketing is still used, but is slowly becoming obsolete. Currently, regardless of the age or sector of activity of the brand or company in question, digital communication is the only way to convey a modern and dynamic image and therefore, which also really makes it possible to increase its turnover over the long term as well as the number of customers.Keywords: communication, digital, interaction, media, internet

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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
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