{"product_id":"data-management-analytics-and-innovation-9789819658596","title":"Data Management Analytics and Innovation","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp class=\"MsoNormal\"\u003eChapter 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\".\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212881846615,"sku":"9789819658596","price":197.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/data-management-analytics-and-innovation-9789819658596","provider":"Book Curl","version":"1.0","type":"link"}