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Record Nr. |
UNINA9910495181403321 |
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Titolo |
Data Management, Analytics and Innovation : Proceedings of ICDMAI 2021, Volume 1 / / edited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Alfred M. Bruckstein |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (453 pages) |
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Collana |
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Lecture Notes on Data Engineering and Communications Technologies, , 2367-4520 ; ; 70 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Engineering - Data processing |
Big data |
Computational Intelligence |
Data Engineering |
Big Data |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Verification, Validation and Evaluation of Medicinal Prescription System -- Creation of Knowledge Graph for Client complaint Management System -- Automation of Bid Proposal Preparation through AI Smart Assistant -- A Review on Application of Machine Learning and Deep Learning Algorithms in Head and Neck Cancer Prediction and Prognosis -- Multi-Index Validation Mechanisms for the Land Cover Classification of Multispectral Images: A Case-Study of Kabini Reservoir -- Optimizing the reliability of a bank with Logistic Regression and Particle Swarm Optimization -- Performance Evaluation of Classification Models for HIV/AIDS Dataset -- Impact of clustering algorithms in catastrophe management: a task-technology appropriate perspective -- Real-Time Soybean Crop Insect Classification using Customized Deep Learning Models -- Writer-independent Offline Signature Verification using Deep Siamese Neural Network. |
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Sommario/riassunto |
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This book presents the latest findings in the areas of data management |
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and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. |
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