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245 1 0 _aAGC 2023
_h[electronic resource] :
_bFirst Analytics Global Conference, AGC 2023, Kolkata, India, April 28–29, 2023, Proceedings /
_cedited by Suparna Dhar, Sanjay Goswami, U. Dinesh Kumar, Indranil Bose, Rameshwar Dubey, Chandan Mazumdar.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aX, 183 p. 143 illus., 93 illus. in color.
_bonline resource.
336 _atext
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338 _aonline resource
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490 1 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v2008
505 0 _aApplications of Analytics in Business -- Efficiency and Benchmarking using DEA and Tessellation in Retail Stores -- A Machine Learning framework developed by leveraging the Topological Pattern Analysis of Bitcoin Addresses in Blockchain Network for Ransomware Identification -- A Taxonomy and Survey of Software Bill of Materials (SBOM) Generation Approaches -- Find Your Donor (FYD): An Algorithmic Approach Towards Empowering Lives & Innovating Healthcare -- Machine Learning, Deep Learning and Text Analytics -- Deep Learning-based Multiple Detection Techniques of Covid-19 Disease from Chest X-Ray Images using Advanced Image Processing Methods and Transfer Learning -- Classification Model to predict the Outcome of an IPL Match -- Knowledge Graph-based Evaluation Metric for Conversational AI Systems: A step towards Quantifying Semantic Textual Similarity -- Are we nearing Singularity? A study of language capabilities of ChatGPT -- THRESHOLDING TECHNIQUES COMPARSION ON GRAYSCALE IMAGE SEGMENTATION -- Automated Pneumonia Diagnosis from Chest X-rays using Deep Learning Techniques -- Detecting Emotional Impact on Young Minds based on Web Page text Classification using Data Analytics and Machine Learning.
520 _aThis 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 Business and Machine Learning & Deep Learning and Text Analytics.
650 0 _aArtificial intelligence.
650 0 _aArtificial intelligence
_xData processing.
650 0 _aMachine learning.
650 1 4 _aArtificial Intelligence.
650 2 4 _aData Science.
650 2 4 _aMachine Learning.
700 1 _aDhar, Suparna.
_eeditor.
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700 1 _aGoswami, Sanjay.
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700 1 _aDinesh Kumar, U.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBose, Indranil.
_eeditor.
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700 1 _aDubey, Rameshwar.
_eeditor.
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700 1 _aMazumdar, Chandan.
_eeditor.
_4edt
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031508141
776 0 8 _iPrinted edition:
_z9783031508165
830 0 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v2008
856 4 0 _uhttps://doi.org/10.1007/978-3-031-50815-8
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