Data Management, Analytics and Innovation : Proceedings of ICDMAI 2025, Volume 2 / edited by Saptarsi Goswami, Sajal Saha, Kanadpriya Basu, Romit S Beed.

Format:

Book

Author/Creator:

Goswami, Saptarsi.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1369

Language:

English

Subjects (All):

Computational intelligence.

Engineering--Data processing.

Engineering.

Big data.

Computational Intelligence.

Data Engineering.

Big Data.

Local Subjects:

Computational Intelligence.

Data Engineering.

Big Data.

Physical Description:

1 online resource (514 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

This book presents the latest findings in the areas of data management and smart computing, 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 9th International Conference on Data Management, Analytics and Innovation (ICDMAI 2025), held during 17–19 January 2025 at St. Xavier’s College (Autonomous), Kolkata, India. 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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. The book is divided into three volumes.

Contents:

Chapter 1 :"A Bipartite Graph Approach to Linking Selection Marks and Text"

Chapter 2 :"Enhancing Food Demand Forecasting to Minimize Food Waste in Supply Chains: A Hybrid ARIMA-DQN Framework"

Chapter 3 :"Global Conversations on Climate Change: Insights from Social Media Analysis of GHGs, Climate Action and Public Perception"

Chapter 4 :"An Inventive Feature Importance based Dementia PredictiveModel using SHAP Analysis"

Chapter 5 :"Quantum Convolutional Neural Networks for Enhanced Crop Disease Detection and Management: A Step Towards Intelligent Farming Systems"

Chapter 6 :"Towards Classifying Bird Sounds Using a Deep Transfer Learning Model"

Chapter 7 :"Multi-Objective Food Delivery Route Optimization using Hybrid Pareto based Differential Evolution Algorithm"

Chapter 8 :"Energy Efficient XceptionNet Accelerator with e-FPGAs for AI based Risk Prediction of Skin Abnormalities"

Chapter 9 :"A clustering based prediction approach for new cases of COVID-19 in India"

Chapter 10 :"Efficiency-Optimized Non-linear Transformers for Fake News Detection: A Case Study"

Chapter 11 :"Isolation Forest based Anomaly Detection of Vessels using AIS Data"

Chapter 12 :Detecting Bias in Social Media using SentiWordNet

Chapter 13 :"A LLM and Explainable AI Assistive Model for Improvement ofUser’s Query in a Chatbot for Women Cancer Awareness for Indian Lay People"

Chapter 14 :"Amalgamated Business and Technology Operations Observability Framework"

Chapter 15 :"Enhanced Tabular Convolution (TAC) Method for RNA-Seq GeneExpression Classification"

Chapter 16 :"Solutions to Higher Order Differential Equations by usingIntegrating Factor techniques, Numerical Methods and Neural Networks"

Chapter 17 :"Explainable and Interpretable Isolation Forest for Bankingand Finance"

Chapter 18 :"Water Withdrawal Trends Across Multiple UN Member Nationsusing Time Series Forecasting"

Chapter 19 :"EGA: Explainable Deep Belief Network based Auto encoderusing novel Extended Garson Algorithm"

Chapter 20 :Classification of Geophysical Events in the Getchell Mine"Integrating Product Coefficients for Improved 3D LiDAR Data Classification"

Chapter 21 :"Deep learning model for optimizing time-delay and forecasting ""Discrimination of earthquakes and mining explosion seismicsignals using partitioned local depth"

Chapter 22 :"Crime Dataset Analysis to Optimize the Requirement of Copsusing Clustering Approaches"

Chapter 23 :"A Study of Genome Compression Algorithms for Industrial versus Scientific Applications Focusing Sequences in Raw and FASTA/Q Formats".

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9658-60-8

9789819658602

OCLC:

1553786315