EAI BDTA 2022
12th EAI International Conference on Big Data Technologies and Applications
Day 1: Saturday 10 December 2022 – Time Zone – EET, Cairo, Egypt
10:00 – 10:15 Opening Ceremony
An opening message by the conference organizers.
10:15 – 10:30 Welcome Message by EAI
10:30 – 11:30 Keynote by Dr. Ayman Taha – Senior Researcher, Technological University Dublin, Ireland
Title: Feature Engineering for Big Data Applications: An Insurance case study
11:30 – 11:45 Coffee/ Tea Break
11:45 – 13:05 Session 1: Learning Analysis and Blockchain Technologies
11:45 – 12:05 A Comparative study for anonymizing datasets with multiple sensitive attribute and multiple records
12:05 – 12:25 A Proposed Keyword-Based Feature Extraction Approach for Single/Multi-Labeling Classification of User Requirements for Egyptian Mobile Apps Arabic Slang Reviews
12:25 – 12:45 A Proposed Framework for Cloud Immunization Information System: Challenges and Opportunities
12:45 – 13:05 The Role of Block Chain Technology in Reducing Corruption within the Local Governance in Egypt
13:05 – 13:20 Coffee/ Tea Break
13:20 – 14:40 Session 2: Machine Learning and Big Data applications
13:20 – 13:40 Using Requirements Clustering to Discover Dependent Requirements for Hidden Impact Analysis
13:40 – 14:00 A Proposed Virtual Learning Model based on Statistical Analysis of Educational Data of Egypt
14:00 – 14:20 Diagnosis Hepatitis B Using Machine and Deep Learning: Survey
14:20 – 14:40 Using Grasshopper Optimization in Big Data
14:40 – 15:00 Lunch break
Day 2: Sunday 11 December 2022 – Time Zone – EET, Cairo, Egypt
11:00 – 12:20 Session 3: Deep Learning application and Bio-inspired Optimization
11:00 – 11:20 Detecting Fake News Spreaders on Twitter Through Follower Networks
11:20 – 11:40 NODDLE: Node2vec based deep learning model for link prediction
11:40 – 12:00 Hybrid Coral Reef Optimization Algorithm Employed Local Search Technique for Job Shop Scheduling Problems
12:00 – 12:20 Efficient Human Activity Recognition based on Grouped Representations of Multimodal Wearable Data
12:20 – 12:30 Coffee/ Tea Break
12:30 – 17:20 Session 4: Semi-supervised Learning and IoT applications
12:30 – 12:50 A Semi-supervised Learning Application for Hand Posture Classification
12:50 – 13:10 A data brokering architecture to guarantee nonfunctional requirements in IoT applications
13:10 – 13:30 Explore the relationship between procedural score feedback and subsequent time allocation and learning outcomes of learners in a MOOC
13:30 – 13:50 DoS attacks detection in the network of drones: An efficient Decision Tree-based method
13:50 – 14:10 Closing Remarks + Best Paper Award