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Titlebook: AGC 2023; First Analytics Glob Suparna Dhar,Sanjay Goswami,Chandan Mazumdar Conference proceedings 2024 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-21 18:06:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱AGC 2023
期刊簡稱First Analytics Glob
影響因子2023Suparna Dhar,Sanjay Goswami,Chandan Mazumdar
視頻videohttp://file.papertrans.cn/143/142740/142740.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: AGC 2023; First Analytics Glob Suparna Dhar,Sanjay Goswami,Chandan Mazumdar Conference proceedings 2024 The Editor(s) (if applicable) and T
影響因子This book constitutes the refereed proceedings of the 1st ?Analytics Global Conference, AGC 2023, held in Kolkata, India, in April? 2023. The AGC conference sought to facilitate industry-academia interfacing in the domain of machine learning and artificial intelligence..The 11 full papers presented in these proceedings were carefully reviewed and selected from 36 submissions. The papers are organized in the two topical sections:?Applications of Analytics in Businessand Machine Learning & Deep Learning and Text Analytics..
Pindex Conference proceedings 2024
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書目名稱AGC 2023影響因子(影響力)




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Communications in Computer and Information Sciencehttp://image.papertrans.cn/a/image/142740.jpg
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Anne Geoffray MD,Catherine Garel MDy and its relative efficiency involves evaluating many factors - such as sales turnover, sales per floor space, employee productivity, customer traffic, catchment area, gross margin, among other factors. Generally, store efficiency is evaluated by considering two metrics at a time, like sales per fl
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André C. Nácul,Marcello Lajolo,Tony Givargisly popular among the young and old alike. With so many teams participating in IPL, new and young players are getting an opportunity to showcase their talent, play alongside international players and are duly compensated for their talent. With so many regional teams, various players and a vast array
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Zhonghai Lu,Ingo Sander,Axel Jantsch analysis aids machines in deciphering the intended meaning of textual information and extracting pertinent data. This, in turn, not only provides valuable insights but also minimizes the need for manual labor. Semantic Textual Similarity in Natural Language processing is one of the most challenging
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Lossan Bondé,Pierre Boulet,Jean-Luc Dekeysery and bring humanity closer towards singularity. In this paper, we assessed the capabilities and limitations of ChatGPT empirically. We subjected ChatGPT to a series of questions with different levels of lexical and syntactic language complexity and manually scored the responses. We measured the lex
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