Preface
Conference Organization - BDTA 2021
Conference Organization - BDTA 2022
Contents
Software Engineering and Blockchain Technologies
Using Requirements Clustering to Discover Dependent Requirements for Hidden Impact Analysis
1 Introduction
2 Requirements Management
3 Requirements Clustering
3.1 Hierarchical Clustering
3.2 Clustering Using K-Means
4 Determining the Good Number of Clusters
4.1 Suggested Model for Calculating Good Number of K Clusters
5 K Clustering Model Implementation
5.1 Detailed Model Data Examination
6 Clustering Model Results
7 Conclusions
References
A Proposed Keyword-Based Feature Extraction Approach for Labeling and Classifying Egyptian Mobile Apps Arabic Slang User Requirements Reviews
1 Introduction
2 Literature Review
3 A Proposed Keyword-Based Feature Extraction Approach for Identifying and Classifying of User Requirements from Egyptian Mobile Apps Arabic Slang Reviews (MASR)
3.1 Phase One: Egyptian Mobile Apps Arabic Slang Reviews (MASR) Collection
3.2 Phase Two: Keyword-Based Feature Requirement Identification and Classification Approach (KBRIC) for Egyptian (MASR)
3.3 Phase Three: Automated Supervised Single/Multi-label Classification
3.4 Phase Four: Evaluation
4 Results and Discussion
5 Conclusion and Future Work
References
A Comparative Study for Anonymizing Datasets with Multiple Sensitive Attributes and Multiple Records
1 Introduction
1.1 Our Main Contributions Are as Follows
2 Related Work
3 Problem Setting and Privacy Model
4 Anonymization Algorithms and Methods
5 1: M-Generalization Algorithm:
6 Experiments and Analysis Result
6.1 Information Loss and Data Utility
6.2 Efficiency
7 Conclusion and Future Work
References
A Proposed Framework for Cloud Immunization Information System: Challenges and Opportunities
1 Introduction
1.1 Distinction Between Electronic Immunization Registries (EIR) and IIS
1.2 Purpose of Immunization Information System
1.3 The Need for an Immunization Information System
2 The Proposed Framework
2.1 Cloud Infrastructure
2.2 Cloud Interoperability
2.3 Data Sources
2.4 Registration
2.5 Public Health
2.6 The Service Providers
3 Immunization Information System Challenges and Opportunities
4 Conclusion
References
The Role of Block Chain Technology in Reducing Corruption Within the Local Governance in Egypt
1 Introduction
2 Literature Review
3 Defining and Diagnosing Corruption at Local Level
3.1 Causes of Corruption
3.2 Procurement Procedures in Local Governments
4 Improve Transparency and Accountability
5 Applying Blockchain to Track Procurement Workflows:
6 ALGORITHM: Smart Contract Place Bid
7 Conclusion
References
A Data Brokering Architecture to Guarantee Nonfunctional Requirements in IoT Applications
1 Introduction
2 Existing Architecture
2.1 Volume
2.2 Variety
2.3 Velocity
2.4 Value Extraction
3 The Proposed New Architecture
4 Benefits of the New Architecture
5 Discussion
6 Conclusion
References
Machine Learning and Big Data Applications
A Proposed Virtual Learning Model Based on Statistical Analysis of Educational Data of Egypt
1 Introduction
1.1 Stages of Learning in Artificial Intelligence
1.2 Types of Artificial Intelligence
2 Literature Review
3 Impact on Learning, Teaching, and Education
4 Data Analysis of the Educational Data (Case Study of Education in Egypt)
5 Results and Discussions
6 AÂ Proposed Virtual Learning Model
7 Conclusion
References
Diagnosis Hepatitis B Using Machine and Deep Learning: Survey
1 Introduction
2 Background
2.1 Hepatitis B Definition and Structure
2.2 Hepatitis B (CHB) Stages
2.3 Machine Learning
2.4 Deep Learning
3 Disease Diagnosis Using Deep Learning and Machine Learning
3.1 Applying Machine Learning to Identify Liver Problems
3.2 Deep Learning for Liver Disease Prediction
4 Diagnosis Hepatitis B Using Machine and Deep Learning: Survey
4.1 Hepatitis B Using Machine Learning Algorithms
4.2 Hepatitis B Using Deep Learning Algorithms
5 Discussion and Limitations (Future Work)
6 Conclusion
References
Using Grasshopper Optimization in Big Data
1 Introduction
2 Grasshopper Optimization Algorithm
3 Developments on GOA
3.1 Grasshopper Optimization Algorithm in Binary
3.2 Grasshopper Optimization Algorithm Modifications
3.3 Chaotic Grasshopper Optimization Algorithm
3.4 Grasshopper Optimization Algorithm Hybridizations
4 Applications of Grasshopper Optimization Algorithm
4.1 GOA in Medical Domain
4.2 GOA in Industry Domain
4.3 GOA in Agriculture Domain
4.4 GOA in Education Domain
5 Conclusion and Future Work
References
A Semi-supervised Learning Application for Hand Posture Classification
1 Introduction
2 Literature Review
3 Methodology and Implementation
3.1 Dataset Selection and Pre-processing
3.2 Tri-training
3.3 Co-forest
4 Results and Discussions
4.1 Evaluation Metrics
5 Conclusion and Future Work
References
Explore the Relationship Between Procedural Score Feedback and Subsequent Time Allocation and Learning Outcomes of Learners in a Massive Open Online Course (MOOC)
1 Introduction
2 Theoretical Foundation
2.1 Feedback and Score Feedback
2.2 Study Time Allocation
2.3 Learned Industriousness Theory
3 Hypotheses Development
3.1 Procedural Score Feedback (PSF) and Learning Outcomes (LO)
3.2 Study Time Allocation (STA) and Learning Outcomes (LO)
3.3 Procedural Score Feedback (PSF) and Study Time Allocation (STA)
4 Methodology
4.1 Research Context and Participants
4.2 Research Design
4.3 Coding Scheme
5 Data Analysis and Results
5.1 Sample
5.2 Measurement Model Evaluation
5.3 Model Fit Indices
5.4 Structural Model Evaluation
5.5 Mediation Analysis
6 Discussion
7 Implications for Theory and Practice
8 Conclusion and Future Work
References
DoS Attacks Detection in the Network of Drones: An Efficient Decision Tree-Based Model
1 Introduction
2 Related Work
3 Overview of Denial of Service Attack
4 Proposed DoS Attack Detection Method
5 Results and Discussion
5.1 Dataset
5.2 Scenario 1: Impact of Data Cleaning on Performance
5.3 Scenario 2: Best Value of the DT Parameter âMax-Depthâ
5.4 Scenario 3: Investigating Other Classifiers (KNN and Random Forest)
5.5 Analysis of Model Latency
6 Conclusions and Future Works
References
Deep Learning Applications and Bio-inspired Optimization
Detecting Fake News Spreaders on Twitter Through Follower Networks
1 Introduction
2 Background and Related Work
2.1 Fake News
2.2 Fake News Spreaders
2.3 Twitter
2.4 Influence/Trust Network
2.5 BERT Transformer
3 Proposed Approach
4 Data Gathering and Pre-processing
4.1 Twitter Scraping
4.2 Building the Twitter Follower Network
4.3 Fake News Data Labeling
5 User's Impact Factor Formulation
6 Results
6.1 BERT Classifier
6.2 User's Impact Factor
7 Conclusion
8 Future Steps
References
NODDLE: Node2vec Based Deep Learning Model for Link Prediction
1 Introduction
2 Related Work
2.1 Heuristic Similarity Metrics
2.2 Machine Learning and Deep Learning
3 Proposed Approach
3.1 Problem Statement
3.2 Data Preparation
3.3 NODDLE (Integration of NOde2vec and Deep Learning mEthod)
4 Experiment
4.1 Datasets
4.2 Experimental Results and Discussions
5 Conclusion
References
Hybrid Coral Reef Optimization Algorithm Employed Local Search Technique for Job Shop Scheduling Problems
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Representation of JSSP for CRO
3.2 Objective Function
3.3 Local Search: Simulated Annealing (SA)
3.4 Proposal Approaches
4 Experiment Results and Discussion
4.1 Parameters Used in the Algorithm
4.2 Experiment Results
4.3 Improvement of Search Efficiency
5 Conclusions
References
Efficient Human Activity Recognition Based on Grouped Representations of Multimodal Wearable Data
1 Introduction
2 Background
3 Proposed Approach
3.1 Re-sampling Dataset
3.2 Specific Features Grouping and Data Abstraction
4 Datasets
4.1 Target Activities
4.2 Datasets Presentation
5 Evaluation Method
5.1 Evaluation of Preliminary Re-sampling
5.2 Evaluation of Grouped Abstraction
5.3 Classification Method and Evaluation Metrics
6 Results
6.1 Re-sampling Performance
6.2 Grouped Abstraction Performance
6.3 Visualization of Grouped Abstraction
7 Discussion
8 Conclusion
References
Artificial Intelligence and Data Mining in Education
Pose+Context: A Model for Recognizing Non-verbal Teaching Behavior of Normal College Student
1 Introduction
2 Related Work
2.1 Category of Teachersâ Non-verbal Behaviors
2.2 Human Pose Estimation and OpenPose
3 The Pose+Context Model
4 Experiment
4.1 Dataset Construction
4.2 Evaluation Metric
4.3 Experiment Results
5 Application
6 Conclusions and Future Work
References
Dropout Prediction in MOOC Combining Behavioral Sequence Characteristics
1 Introduction
2 Related Work
3 Dataset
4 Proposed Method
4.1 Overview of the Method
4.2 Data Preprocessing
4.3 Mining Features
4.4 Feature Extraction and Modeling
5 Experiment
5.1 Experiment Settings
5.2 Results and Discussion
6 Conclusion
References
CVO: Curriculum Vitae Optimization by Recommending Keywords to Undergraduate Students
1 Introduction
2 Related Work
2.1 Candidate Skills Selection
2.2 Clustering of CVs
2.3 Recommendation Systems
3 Methodology
3.1 Dataframe
3.2 Data Processing
3.3 Clustering
3.4 Classification
4 Experimental Results
4.1 Cosine Similarity
4.2 Recommendation System
5 Conclusion
References
Hardware and Software Solutions for Big Data Storing and Management
Big Data in Healthcare Institutions: An Architecture Proposal
1 Introduction
2 Main Concepts
2.1 Big Data in Healthcare Institutions
2.2 Big Data Engine - Hadoop
3 Proposed Architecture
3.1 Structure
3.2 Hands-On: Proposed Process
4 Discussion and Conclusions
References
New Domains and Novel Applications Related to Big Data Technologies
Analysis of Knowledge Map on Rural Culture Tourism in China
1 Introduction
2 Data Sources and Research Methods
2.1 Data Source
2.2 Research Methods
3 Analysis of the Trend in Rural Cultural Tourism Research in China
3.1 Distribution of Years
3.2 Institutional Distribution Characteristics
3.3 Analysis of Authors
4 Analysis on the Research Hotspots of Rural Cultural Tourism in China
4.1 Keywords Co-word Analysis
4.2 Keyword Mutation Detection
4.3 Time Zone Analysis of Keywords
4.4 Analysis of Keywords Clustering Map
5 Conclusion and Discussion
References
A Visual Analysis of E-Government Research in China Based on Co-word Clustering
1 Introduction
2 Data Sources and Research Methodology
2.1 Data Sources and Preparation
2.2 Method
3 Analysis and Discussion
3.1 High Frequency Keyword Word Frequency Statistics and Analysis
3.2 High Frequency Keyword Co-word Analysis
3.3 High Frequency Keyword Clustering Analysis
4 Findings
4.1 Researches on the Development Trend of E-Government
4.2 Research on the Integration of E-Government and New Media
4.3 Research on E-Governance in the Information Society
4.4 Research on Government Information Management and Data Governance
5 Summary
References
Research on Virtual Simulation Teaching Platform Based on Convergent Media
1 Preface
2 Achieve Functions of Convergence Media Experiment Platform
3 Construction of a Converged Media Experiment Platform
3.1 General Frame Design
3.2 News Production Design
3.3 Media Aggregation Module
3.4 Design of Media Resource Management System
4 Conclusion
References:
Author Index