Detecting hot topics from academic big data
WebApr 5, 2024 · The recent evolution of machine learning (ML) algorithms and the high level of expertise required to use them have fuelled the demand for non-experts solutions. The selection of an appropriate algorithm and th... Moncef Garouani, Adeel Ahmad, Mourad Bouneffa and Mohamed Hamlich. Journal of Big Data 2024 10 :14. WebJul 1, 2024 · Fig. 2 presents the annual number of published big data papers in business research. The initial study was published in 2008, and then there is an emerged slow increase trend from 2010 to 2013. 4 After 2013, the number of big data research publications increases rapidly, which indicates that the great value and importance of big …
Detecting hot topics from academic big data
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WebApr 5, 2024 · These data will appear as different structures, including—but not limited to—the following: Big data. The concept of big data —data that is so large, fast, or complex, that it is difficult or impossible to process using traditional methods—gained momentum in the early 2000s. Then, Doug Laney, an industry analyst, articulated what is … WebTherefore, how to efficiently and accurately detect hot topics from big academic data is the main problem that researchers are facing. In view of this, we design a general …
WebFeb 17, 2016 · Results of Hot-Topic Extraction. After detecting the time periods using the ELM, the next step is to extract the hot topic using the topic model. The LDA model generates the probabilities of topics in the “document,” which consists of microblogs published in 1 h, and provides a topic space for “documents.”. WebOct 17, 2024 · Reliably detecting insider trading is a major impediment to both research and regulatory practice. Using account-level transaction data, we propose a novel approach. Specifically, after extracting several key empirical features of typical insider trading cases from existing regulatory actions, we then employ a machine learning methodology to …
WebNov 1, 2024 · Hot and cold topics. A primary purpose of Topic Detection and Tracking is to identify the “hot” topics in an academic field at a particular point in time (Griffiths and Steyvers 2004), to assist with detecting research fronts (Chen and Guan 2011). Nederhof and van Wijk identify three types of topics. “Hot” topics are those for which the ... WebSep 1, 2015 · 1. Data analytics: A game changer for public accounting. The term big data and the related approaches to analyzing data, often referred to as data analytics (hereafter, DA) or predictive analytics, have been discussed at length in the popular press and academic journals—to the point of oversaturation in recent years.University programs …
WebUse this interactive dataset—a subset of data from the 2012 Cooperative Congressional National Election Study—to learn the method of logistic regression with the software program R. Logistic regression, or logit, is a widely used method of analysis in social science and is the foundation for more complex methods in big data analytics.
WebMay 21, 2024 · 1 Introduction. A large part of technological development in our society is based on academic research [1, 2].Recently, quite a few academic fields that attract much attention, such as nanotechnology … haveri karnataka 581110WebHot topics change as time goes by due to the progress of the fields they belong to, particularly when the paradigm shifts happened. The methods for detecting hot topics have been developed a lot during the past decades. At first, detecting hot topics and identifying research trends are regarded as the specialties and tasks of domain experts. haveri to harapanahalliWebJan 27, 2024 · Platforms for big data computing- Big data analytics and adoption. Parallel big data programming and processing techniques. Semantics in big data. Machine … haveriplats bermudatriangeln