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245 1 0 _aData Science and Big Data Analytics
_h[electronic resource] :
_bProceedings of IDBA 2023 /
_cedited by Durgesh Mishra, Xin She Yang, Aynur Unal, Dharm Singh Jat.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXIV, 747 p. 338 illus., 248 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
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_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aData-Intensive Research,
_x2731-5568
505 0 _aAnalysing the role of social influence in adoption of technology for student assessment in Indian management institutions -- Plastic and Non-Plastic Waste Classification using Machine Learning Techniques -- Prediction of Customer Satisfaction in E- banking Services through Neural Network Approach -- Role of AI and Machine Learning in Mental Healthcare -- Proposed a mechanism to precise diagnostics in X-ray film using Fuzzy Logic Controller -- Human Gender Classification of Males and Females in a Crowd using Deep Learning Techniques -- Analysis on prediction of crop diseases using TensorFlow with Keras and OpenCV technique of deep learning -- Design of convolutional encoder for multivalued logic -- Improving the efficiency of water quality prediction using the Supertml approach in machine learning -- Probabilistic Data Structure using hashing technique for big data security de- duplication in cloud environment -- Malicious account detection using ANN -- Performance Evaluation of LiCi-2Ultra-lightweight Block Cipher.
520 _aThis book features high-quality research papers presented at the Third International Conference on Data Science and Big Data Analytics (IDBA 2023), organized by Sri Aurobindo Institute of Technology, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 16–17, 2023. This book discusses the topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.
650 0 _aComputational intelligence.
_964052
650 0 _aQuantitative research.
650 0 _aData mining.
_96941
650 0 _aData protection.
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aData Analysis and Big Data.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aData and Information Security.
_966492
700 1 _aMishra, Durgesh.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aYang, Xin She.
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700 1 _aUnal, Aynur.
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700 1 _aJat, Dharm Singh.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aData-Intensive Research,
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856 4 0 _uhttps://doi.org/10.1007/978-981-99-9179-2
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