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Proceedings of International Confere...
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International Conference on Data Science and Applications (2022 :)
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Proceedings of International Conference on Data Science and Applications = ICDSA 2022.. Volume 2 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Proceedings of International Conference on Data Science and Applications/ edited by Mukesh Saraswat ... [et al.].
Reminder of title:
ICDSA 2022.
remainder title:
ICDSA 2022
other author:
Saraswat, Mukesh.
corporate name:
International Conference on Data Science and Applications
Published:
Singapore :Springer Nature Singapore : : 2023.,
Description:
xxv, 915 p. :ill., digital ;24 cm.
[NT 15003449]:
Improving River Streamflow Forecasting utilizing Multi-layer Perceptron-based Butterfly Optimization Algorithm -- Covid-19 Contact Tracing Using Low Calibrated Transmission Power from BLE - Approach & Algorithm Experimentation -- Monitoring loud commercials in television broadcast -- Potential Customers Prediction in Bank Telemarketing -- Analysis and implementation of normalization techniques on KDD'99 Dataset for Detect and Prevent Intrusion on Network -- Deep Neural Networks Predicting Student Performance -- An Efficient Group Signature Scheme based on ECDLP -- Sentiment Analysis of COVID-19 tweets using TextBlob and Machine Learning classifiers - An evaluation to show how COVID -19 opinions is influencing psychological reactions of people's behaviour in social media.
Contained By:
Springer Nature eBook
Subject:
Computer science - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-19-6634-7
ISBN:
9789811966347
Proceedings of International Conference on Data Science and Applications = ICDSA 2022.. Volume 2 /
Proceedings of International Conference on Data Science and Applications
ICDSA 2022.Volume 2 /[electronic resource] :ICDSA 2022edited by Mukesh Saraswat ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xxv, 915 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 5522367-3389 ;. - Lecture notes in networks and systems ;v. 552..
Improving River Streamflow Forecasting utilizing Multi-layer Perceptron-based Butterfly Optimization Algorithm -- Covid-19 Contact Tracing Using Low Calibrated Transmission Power from BLE - Approach & Algorithm Experimentation -- Monitoring loud commercials in television broadcast -- Potential Customers Prediction in Bank Telemarketing -- Analysis and implementation of normalization techniques on KDD'99 Dataset for Detect and Prevent Intrusion on Network -- Deep Neural Networks Predicting Student Performance -- An Efficient Group Signature Scheme based on ECDLP -- Sentiment Analysis of COVID-19 tweets using TextBlob and Machine Learning classifiers - An evaluation to show how COVID -19 opinions is influencing psychological reactions of people's behaviour in social media.
This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
ISBN: 9789811966347
Standard No.: 10.1007/978-981-19-6634-7doiSubjects--Topical Terms:
606819
Computer science
--Congresses.
LC Class. No.: QA75.5 / .I58 2022
Dewey Class. No.: 004.6
Proceedings of International Conference on Data Science and Applications = ICDSA 2022.. Volume 2 /
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Improving River Streamflow Forecasting utilizing Multi-layer Perceptron-based Butterfly Optimization Algorithm -- Covid-19 Contact Tracing Using Low Calibrated Transmission Power from BLE - Approach & Algorithm Experimentation -- Monitoring loud commercials in television broadcast -- Potential Customers Prediction in Bank Telemarketing -- Analysis and implementation of normalization techniques on KDD'99 Dataset for Detect and Prevent Intrusion on Network -- Deep Neural Networks Predicting Student Performance -- An Efficient Group Signature Scheme based on ECDLP -- Sentiment Analysis of COVID-19 tweets using TextBlob and Machine Learning classifiers - An evaluation to show how COVID -19 opinions is influencing psychological reactions of people's behaviour in social media.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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EB QA75.5 .I58 2022
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