Data Science and Big Data Analytics : Proceedings of IDBA 2023 / edited by Durgesh Mishra, Xin She Yang, Aynur Unal, Dharm Singh Jat.

Format:

Book

Author/Creator:

Mishra, Durgesh.

Contributor:

Yang, Xin-She.

Unal, Aynur.

Jat, Dharm Singh.

Series:

Data-Intensive Research, 2731-5568

Language:

English

Subjects (All):

Computational intelligence.

Quantitative research.

Data mining.

Data protection.

Computational Intelligence.

Data Analysis and Big Data.

Data Mining and Knowledge Discovery.

Data and Information Security.

Local Subjects:

Computational Intelligence.

Data Analysis and Big Data.

Data Mining and Knowledge Discovery.

Data and Information Security.

Physical Description:

1 online resource (733 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

This 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.

Contents:

Analysing 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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819991792

981999179X

OCLC:

1427711462