دانلود کتاب Information Management and Big Data: 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16–18, 2022, Proceedings (Communications in Computer and Information Science)

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Preface
Organization
Contents
A Preliminary Analysis of Twitter\'s LGBTQ+ Discussions
1 Introduction
2 Related Work
2.1 Online Social Media Behavior Analysis
2.2 LGBTQ+ Community on Social Media
2.3 User, Sentiment and Toxicity Analysis on Social Media
3 Dataset Description
3.1 Twitter API
3.2 Collection Methodology
3.3 Ethical Considerations
4 User Analysis
4.1 User Bio Analysis
4.2 User Statistics Analysis
5 Tweet Analysis
5.1 Timeline of Tweet Activity
5.2 Sentiment Analysis of Tweets
6 Limitations
7 Conclusion and Future Works
References
User-Agnostic Model for Prediction of Retweets Based on Social Neighborhood Information
1 Introduction
2 Related Work
3 Dataset
3.1 Social Graph
3.2 Content
3.3 User Selection
3.4 Dataset Partitions
4 Experimental Setup
4.1 Social Environment
4.2 Raw Environment Features
4.3 General Environment Features
4.4 Classifier Model
4.5 Hyperparameter Tuning
4.6 Model Training
5 Results
5.1 General Evaluation
5.2 Comparison to Single User Models
5.3 Performance on General Users
5.4 Performance on Known Vs. Unknown Users
6 Conclusions and Future Work
References
Segmentation and Classification of Pages for Digitized Documents of the Public Prosecutor\'s Office
1 Introduction
2 Related Work
3 Methodology
3.1 Business Understanding
3.2 Data Understanding
3.3 Data Preparation
3.4 Modeling
3.5 Evaluation
3.6 Deployment
4 Segmentation and Classification of Pages
4.1 Segmentation of Page
4.2 Classification of Page
5 Contributions and Results
6 Conclusion and Future Works
References
A Semantic Query Engine for Knowledge Rich Legal Digital Libraries
1 Introduction
1.1 Structure of Case Laws
1.2 Article UCCJEA
1.3 Use Case
2 Document Understanding Using Prism
2.1 Document Authoring
2.2 Premise Graph Embedding
3 Implementation of Prism as a Virtual Office Environment on the Cloud
4 Discussion
5 Conclusion
References
Getting Quechua Closer to Final Users Through Knowledge Graphs
1 Introduction
2 Related Work
3 Quechua Knowledge Graph
3.1 Knowledge Creation
3.2 Knowledge Hosting
3.3 Knowledge Curation
3.4 Knowledge Deployment
4 Feasibility
4.1 Technological Risks
4.2 Social and Organizational Risks
5 Use Cases
6 Conclusion and Future Work
References
Using Features Based on Elongation to Enhance Sentiment Analysis
1 Introduction
2 Related Work
3 Methodology
3.1 Corpus with Elongations
3.2 Data Cleaning
3.3 Elongation Detection
3.4 Impact of Elongation on Sentiment Classification
3.5 Feature Extraction
4 Experiments
5 Conclusion and Future Work
References
Image Generation from Sketches and Text-Guided Attribute Edition
1 Introduction
2 Background
2.1 Generative Adversarial Networks
2.2 Contextual GAN
2.3 Natural Language Processing
3 Related Work
3.1 Dall-E
3.2 Cycle Text-to-Image GAN with BERT
3.3 High-Resolution Image Synthesis with Latent Diffusion Models
3.4 Midjourney
4 Proposed Model
4.1 Text Processing
4.2 Generator
4.3 Discriminator
5 Experiments and Results
6 Conclusion
References
ADRAS: Airborne Disease Risk Assessment System for Closed Environments
1 Introduction
2 Related Works
3 Epidemiological Model
4 Person and Mask Detection
4.1 Dataset and Preprocessing
4.2 Object Detection
4.3 Metrics
5 Distance Estimation
6 Monitoring System
7 Results and Discussion
8 Conclusions
References
Predictive Sentiment Analysis Model Regarding the Variation of the Dollar Exchange Rate
1 Introduction
2 Background and Related Works
3 Dataset
4 Methodology
5 Experimental Setup.
6 Results and Discussion
7 Conclusions
References
Maximising Influence Spread in Complex Networks by Utilising Community-Based Driver Nodes as Seeds
1 Introduction
2 Related Work
3 Methodology
3.1 Datasets Description
3.2 Influence Spread Using Global Driver Nodes as Seeds
3.3 Influence Spread Using Local Driver Nodes as Seeds
4 Results and Analysis
4.1 Results from Generated Networks
4.2 Results from Social Networks
5 Conclusion and Future Work
References
Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data
1 Introduction
2 Related Work
3 Time Series Data and Peak Anomaly Types
3.1 Time Series Data
3.2 Peak Anomaly Types
4 Computational Methods
4.1 Knowledge Engineering
4.2 Deep Learning
5 Performance Evaluation
5.1 Experiment Setup
5.2 Experiment Results
5.3 Discussion
6 Conclusion
References
Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco)
1 Introduction
2 Related Work
3 Materials and Methods
3.1 E-Nose Prototype
3.2 Pisco Samples
3.3 Pisco Classification
4 Results and Discussion
5 Conclusion
References
Optimal Layer Selection on Deep Convolutional Neural Networks Using Backward Freezing and Binary Search
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Dataset
3.2 Modified Binary Search
3.3 DCNN Models
3.4 Evaluation
4 Experimental Evaluation and Discussion
4.1 InceptionV3 Evaluation
4.2 Xception Evaluation
4.3 DenseNet121 Evaluation
4.4 NasNetMobile Evaluation
4.5 ResNet50 Evaluation
4.6 Comparison with Genetic Algorithms
5 Conclusions
6 Future Works
References
Profiling Public Service Accessibility Based on the Public Transport Infrastructure
1 Introduction
2 Related Works
3 Methodology
4 Results
4.1 Lima Study Case
4.2 Cusco Study Case
5 Discussion
6 Conclusion
References
Multiple Scale Comparative Analysis of Classical, Dynamic and Intelligent Edge Detection Schemes
1 Introduction
2 RGB Scale, Gray Scale and Binary Scale
3 Classical Canny Edge Detection
4 Intelligent ACO Edge Detection
5 Dynamic Gabor Edge Detection
6 Qualitative Comparisons at RGB Scale
7 Quantitative Analysis at Gray Scale in Frequency Domain
7.1 Discrete Entropy
7.2 Relative Entropy
7.3 Mutual Information
8 Quantitative Analysis at Binary Scale in Spatial Domain
9 Conclusions
References
Soil Organic Carbon Prediction Using Digital Color Sensor in Peru
1 Introduction
2 Related Work
3 Methodology
3.1 Soil Samples
3.2 Pre-processing
3.3 Modelling and Validation
4 Results and Discussion
4.1 Models Description
4.2 General Comparison
5 Conclusions
6 Supplementary Files
References
Ideation of Computational Thinking Programs by Assembling Code Snippets from the Web
1 Introduction
2 CodeMapper Model
2.1 Concept Hierarchy of Code Snippets
2.2 Program Synthesizer
2.3 Search, Find and Annotate with
2.4 Code Snippet Unification Using
3 Code Snippet Database Powered by Crowd Sourcing
4 Open Source Implementation of CodeMapper
4.1 Software Tools and Operating Platform
4.2 Hardware and Operating System
4.3 Online Code Harvesting
5 Conclusion and Future Research
References
Smart Doorbell with Telegram Notification for Multifamily Dwellings
1 Introduction
2 Literature Review
3 Methodology
3.1 System Architecture
3.2 Use Case Diagram
3.3 Software Requirements
4 Experimental Results
5 Discussion
6 Conclusion
7 Future Work
References
Performance Analysis of Machine Learning for Food Fraud Prediction
1 Introduction
2 Methodology
3 Related Work
4 Materials and Methods
4.1 Dataset
4.2 Random Forest
4.3 Decision Tree
4.4 Naive Bayes
4.5 Logistic Regression
4.6 Multilayer Perceptron
4.7 SVM
5 Results and Discussions
5.1 Multilayer Perceptron Analysis
5.2 Comparison of Algorithms
5.3 Discussions
6 Conclusion
References
Author Index