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Information Management and Big Data 10th Annual International Conference, SIMBig 2023, Mexico City, Mexico, December 13-15, 2023, Proceedings
Title
Information Management and Big Data [electronic resource] : 10th Annual International Conference, SIMBig 2023, Mexico City, Mexico, December 13-15, 2023, Proceedings / edited by Juan Antonio Lossio-Ventura, Eduardo Ceh-Varela, Genoveva Vargas-Solar, Ricardo Marcacini, Claude Tadonki, Hiram Calvo, Hugo Alatrista-Salas.
ISBN
9783031636165
Edition
1st ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (XIX, 348 p.) 110 illus., 87 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 10th Annual International Conference on Information Management and Big Data, SIMBig 2023, held in Mexico City, Mexico, during December 13-15, 2023. The 19 full papers and 6 short papers included in this book were carefully reviewed and selected from 64 submissions. SIMBig 2023 introduced innovative approaches for analyzing and handling datasets as well as new methods based on Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, Data-driven Software Engineering, Health Informatics, and more.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
July 11, 2024
Series
Communications in Computer and Information Science, 2142
Contents
1 Parallel EvoCluster: An Open-Source Parallel Nature-Inspired Optimization Clustering
2 Expanding Chemical Representation with k-mers and Fragment based Fingerprints for Molecular Fingerprinting
3 Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information
4 Multivariable-unistep Prediction of Travel Times in Public Transport Buses Using LSTM and Convolutional LSTM
5 Reinforcement Learning & Biologically Inspired Artificial Neural Networks
6 Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning
7 Comparing Incremental Learning Approaches for a Growing Sign Language Dictionary
8 User-agnostic Model for Retweets Prediction Based on Graph Embedding Representation of Social Neighborhood Information
9 CollabVR: A Social VR Architecture for Social Interaction Between College Students
10 Analysis of Mexican Women's Decision-making Power using Machine Learning Strategies
11 Design Optimization for High-performance Computing using FPGA
12 CLPSafe: Mobile Application for Avoid Cloned of License Plates using Deep Learning
13 Analyzing Sentiments and Topics on Twitter towards Rising Cost of Living
14 Item Response Theory In Sample Reweighting To Build Fairer Classifiers
15 Predicting Course Performance on a Massive Open Online Course Platform: A Natural Language Processing Approach
16 The Study of Human Action Recognition in Videos with Long Short Term Memory Model
17 Novel Algorithm to Predict Electoral Trends, Case in Mexico
18 A Bayesian Machine Learning Model for Predicting Uncontrolled Type 2 Diabetes Mellitus
19 Reviewer 2 Must be Stopped: Transformer-based Approaches for Predicting Paper Acceptance
20 Corporate Events Prediction Using Earning Call Transcripts
21 A Framework to Transform Metadata and Document-level Tabular Spatial Information and Measurement to Marine Geology Gazetteer
22 Visualizing Software Test Requirements Using NLP and HITL Approach
23 Improvement of EduBPMN Transformation Rules from an Empirical Validation
24 Recommendations for the Development of Augmented Reality Video Games for Children with ADHD
25 Comparative Analysis of GPT Models for Detecting Cyberbullying in Social Media Platforms Thread.
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