Information Management and Big Data

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Details

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 1315, 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.


Inhalt

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031636158
    • Herausgeber Springer Nature Switzerland
    • Anzahl Seiten 368
    • Lesemotiv Verstehen
    • Genre IT Encyclopedias
    • Auflage 2024
    • Editor Juan Antonio Lossio-Ventura, Eduardo Ceh-Varela, Genoveva Vargas-Solar, Hugo Alatrista-Salas, Claude Tadonki, Hiram Calvo, Ricardo Marcacini
    • Gewicht 557g
    • Untertitel 10th Annual International Conference, SIMBig 2023, Mexico City, Mexico, December 13-15, 2023, Proceedings
    • Größe H235mm x B155mm x T20mm
    • Jahr 2024
    • EAN 9783031636158
    • Format Kartonierter Einband
    • ISBN 3031636155
    • Veröffentlichung 29.06.2024
    • Titel Information Management and Big Data
    • Sprache Englisch

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