Detecting hot topics from academic big data

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WebDetecting Hot Topics From Academic Big Data @article{Wang2024DetectingHT, title={Detecting Hot Topics From Academic Big Data}, author={Beibei Wang and Bo … WebThis innovative journal focuses on the power of big data - its role in machine learning, AI, and data mining, and its practical application from cybersecurity to climate science and …

100 Best Big Data Research Topics Writing Ideas

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 … WebDec 17, 2024 · Detecting hot topics from massive academic data is a very challenging task. Because various types of academic information are overgrowing, e.g., papers, news, and blogs, which has gone far beyond the limits that researchers can accept. Therefore, … sims clothes download

Detecting Hot Topics From Academic Big Data

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 ... 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. WebABSTRACT Detecting hot topics from massive academic data is a very challenging task. Because various Because various types of academic information are overgrowing, e.g., … sims clothes baddie

A bibliometric review of a decade of research: Big data in …

What are hot research topics in data security for a Ph.D.?

WebApr 24, 2024 · Allahabad, Uttar Pradesh, India. Abstract-Big data analytics in security involves the ability to gather massive amounts of digital information to analyze, visualize and draw insights that can make it possible to predict and stop cyber attacks. Along with security technologies, it gives us stronger cyber defense posture. WebHot 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 … sims clothes black girlWebDec 16, 2024 · Bibliometrics is the study of academic publishing that uses statistics to describe publishing trends and to highlight relationships between published works. Likened to epidemiology, researchers seek to answer questions about a field based on data about publications (e.g., authors, topics, funding) in the same way that an epidemiologist … rcot hot topics

"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

Detecting hot topics from academic big data

WebDec 17, 2024 · Detecting hot topics from massive academic data is a very challenging task. Because various types of academic information are overgrowing, e.g., papers, … Web166 Latest Big Data Research Topics And Fascinating Ideas. Big data refers to a huge volume of data, whether organized or unorganized, whose analysis shapes technologies …

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WebDetecting hot topics from massive academic data is a very challenging task. Because various types of academic information are overgrowing, e.g., papers, news, and … 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 …

WebJul 4, 2024 · In recent years, the recognition of hot topics and the analysis of their evolution path in the frontier of a field have received widespread attention from the academic community. It can not only reveal the development trend of a certain field but also discover the evolution law of topic content in different development stages of the field. However, … WebJan 27, 2024 · Platforms for big data computing- Big data analytics and adoption. Parallel big data programming and processing techniques. Semantics in big data. Machine …

WebOct 23, 2024 · Businesses and organizations are coming to understand that a robust AI engineering strategy will improve “the performance, scalability, interpretability and reliability of AI models” and ... 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.”.

WebMar 18, 2009 · In scientometrics for trend analysis, parameter choices for observing trends are often made ad hoc in past studies. For examples, different year spans might be used to create the time sequence and different indices were chosen for trend observation. However, the effectiveness of these choices was hardly known, quantitatively and comparatively. …

WebJun 12, 2024 · Comparing two sets of documents to identify new topics is useful in many applications, like discovering trending topics from sets of scientific papers, emerging topic detection in microblogs, and interpreting sentiment variations in Twitter. In this paper, the main topic-modeling-based approaches to address this task are examined to identify … rcot-ipssWebOct 23, 2024 · The query-based approach towards big data is implemented in study of Wang et al. , which can generate essential topics from big educational data. ... Wang, B., Yang, Bo., Shan, S., & Chen, H. (2024). Detecting Hot Topics From Academic Big Data. IEEE Access, 7, 185916–185927. Article Google Scholar sims clothes cc bundleWebUse 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 … sims clothes listWebFIGURE 4. Hot topic detection results. In the hot topic discovery interface, users can view weekly hotspots, monthly hotspots and annual hotspots in different academic fields in Chinese or English. In (a), it shows the annual hot topics of computer science, and the keywords in the hot topic ‘‘neural networks . . . ’’ are listed in (b), the papers including … sims clothes custom contentWebTherefore, 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 … sims clothes cc grungeWebApr 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. r + co thickening sprayWebHot 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. sims clothes cc urban