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.
Contributor(s): Lossio-Ventura, Juan Antonio [editor.] | Ceh-Varela, Eduardo [editor.] | Vargas-Solar, Genoveva [editor.] | Marcacini, Ricardo [editor.] | Tadonki, Claude [editor.] | Calvo, Hiram [editor.] | Alatrista-Salas, Hugo [editor.] | SpringerLink (Online service).
Material type: BookSeries: Communications in Computer and Information Science: 2142Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: XIX, 348 p. 110 illus., 87 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031636165.Subject(s): Computer networks | Computer engineering | Artificial intelligence | Education -- Data processing | Social sciences -- Data processing | Image processing -- Digital techniques | Computer vision | Computer Communication Networks | Computer Engineering and Networks | Artificial Intelligence | Computers and Education | Computer Application in Social and Behavioral Sciences | Computer Imaging, Vision, Pattern Recognition and GraphicsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.6 Online resources: Click here to access online1 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.
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.
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