Intro
Organizing Team: SCI-2021
Preface
Contents
About the Editors
1 An Analytical Study of COVID-19 Dataset Using Graph-Based Clustering Algorithms
1.1 Introduction
1.2 Related Work
1.3 Materials and Methods
1.3.1 Data Collection
1.3.2 Execution Environments
1.3.3 Graph-Based Clustering Method
1.3.4 Protein-Protein Interaction Network
1.4 Results and Analysis
1.5 Discussion and Conclusions
References
2 Intrusion Detection Using Support Vector Machine and Artificial Neural Network
2.1 Introduction
2.1.1 Intrusion Detection Approaches

2.2 Related Work Based on Intrusion Detection System
2.3 Proposed System
2.3.1 Dataset Description
2.4 Implementation
2.4.1 Dataset
2.4.2 Label Encoding
2.4.3 Data Normalization using MinMax Approach
2.4.4 Dimensionality Reduction Using Principal Component Analysis
2.4.5 Splitting the Training Data and Testing Data
2.4.6 Support Vector Machine
2.5 Results
2.5.1 Performance Metrics of Machine Learning
2.5.2 Performance Evaluations
2.5.3 Tables and Graphical Representation of Results
2.6 Conclusion and Future Work
References

3 Development of Different Word Vectors and Testing Using Text Classification Algorithms for Telugu
3.1 Introduction
3.2 Literature Survey
3.3 Proposed System Architecture
3.4 Implementation
3.4.1 Pseudo Code for Corpus Preprocessing
3.5 Result
3.5.1 Testing the Classification Accuracy Using One Hot Encoding Vectors
3.5.2 Testing the Classification Accuracy Using Word2vec Vectors
3.6 Conclusion
References
4 Framework for Diabetic Retinopathy Classification
4.1 Introduction
4.2 Literature Survey
4.3 Methodology
4.3.1 Pre-processing

4.3.2 Micro-aneurysms Identification
4.3.3 Optic Disc Identification
4.3.4 Exudates Identification
4.3.5 Framework
4.4 Results
4.5 Conclusion
References
5 Online Malayalam Script Assortment and Preprocessing for Building Recommender Systems
5.1 Introduction
5.2 Literature Review
5.3 Dataset
5.4 Methodology
5.4.1 Challenges in Facebook Scraping
5.5 Experimental Results
5.5.1 Facebook Group Extraction
5.5.2 Preprocessing of Malayalam Text
5.6 Conclusion
References

6 Improved Multi-modal Image Registration Using Geometric Edge-Oriented Histogram Feature Descriptor: G-EOH
6.1 Introduction
6.2 Related Work
6.3 Multi-modal Image Registration Using G-EOH
6.4 Experimental Results
6.5 Conclusion
References
7 Reddit Sentiments Effects on Stock Market Prices
7.1 Introduction
7.2 Related Work
7.3 Methods
7.3.1 Dataset
7.3.2 Sentiment Analysis
7.3.3 Long Short-Term Memory Model (LSTM)
7.4 Results
7.4.1 A Model Based on Solely Sentiment Data Can Be Predictive of Close Price