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Information Management and Big Data 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16-18, 2022, Proceedings

Title
Information Management and Big Data [electronic resource] : 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16-18, 2022, Proceedings / edited by Juan Antonio Lossio-Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas.
ISBN
9783031354458
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
XVI, 272 p. 121 illus., 88 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book constitutes the refereed proceedings of the 9th Annual International Conference on Information Management and Big Data, SIMBig 2022, held in Lima, Peru, during November 16-18, 2022. The 18 full papers and 1 short paper included in this book were carefully reviewed and selected from 50 submissions. The volume presented novel methods for the analysis and management of large data, in fields like Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, Data-driven Software Engineering, Health Informatics.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
June 23, 2023
Series
Communications in Computer and Information Science, 1837
Communications in Computer and Information Science, 1837
Contents
A Preliminary Analysis of Twitter's LGBTQ + Discussions
User-agnostic Model for Prediction of Retweets Based on Social Neighborhood Information
Segmentation and classification of pages for digitized documents of the Public Prosecutor's Oce
A Semantic Query Engine for Knowledge Rich Legal Digital Libraries
Getting Quechua Closer to Final Users through Knowledge Graphs
Using features based on elongation to enhance sentiment analysis
Image Generation from sketches and text-guided attribute edition
ADRAS: Airborne Disease Risk Assessment System for Closed Environments
Predictive Sentiment Analysis Model regarding the variation of the Dollar Exchange Rate
Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds
Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data
Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco)
Optimal layer selection on Deep Convolutional Neural Networks using backward freezing and binary Search
Profiling Public Service Accessibility based on the Public Transport Infrastructure
Multiple Scale Comparative Analysis of Classical, Dynamic and Intelligent Edge Detection Schemes
Soil Organic Carbon Prediction using Digital Color Sensor in Peru
Ideation of Computational Thinking Programs by Assembling Code Snippets from the Web
Smart doorbell with Telegram notification for multifamily dwellings
Performance analysis of machine learning for food fraud prediction.
Citation

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