Computational Intelligence in Data Science: 4th IFIP TC 12 International Conference, ICCIDS 2021, Chennai, India, March 18–20, 2021, Revised Selected Papers ... and Communication Technology Book 611)

✍ Scribed by Vallidevi Krishnamurthy, Suresh Jaganathan, Kanchana Rajaram, Saraswathi Shunmuganathan

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 229
• Category: Library

✦ Synopsis

This book constitutes the refereed post-conference proceedings of the Fourth IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2021, held in Chennai, India, in March 2021.

The 20 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers cover topics such as computational intelligence for text analysis; computational intelligence for image and video analysis; blockchain and data science.

✦ Table of Contents

Preface
Organization
Contents
Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)
A Scalable Data Pipeline for Realtime Geofencing Using Apache Pulsar
1 Introduction
2 Related Work
3 Apache Pulsar
3.1 Key Advantages
4 System Architecture
4.1 Stream Handling
4.2 Stream Processing
4.3 Storage and Querying
5 Case Study - Finding Cab Hotspots Using Real-Time Geofencing
5.1 Design Overview
5.2 Data Ingestion and Transformation
5.3 Hotspot Detection
5.4 Persistent Storage
5.5 Validation of the Data Pipeline
5.6 Results and Discussions
6 Conclusions
References
Crop Recommendation by Analysing the Soil Nutrients Using Machine Learning Techniques: A Study
1 Introduction
2 Literature Survey
3 Research Gap
4 Conclusion and Future Work
References
Predicting Customer Churn in Banking Based on Data Mining Techniques
1 Introduction
2 Related Work
3 Description of Proposed Techniques
3.1 Decision Tree (J48)
3.2 Multilayer Perceptron (MLP)
3.3 Random Forest (RF)
4 Empirical Studies
4.1 Description of the Dataset
4.2 The Experimental Setup
4.3 Performance Measures
5 Strategy of Optimization
6 Results and Discussion
6.1 The Impact of Features Selection on the Dataset
6.2 The Impact of Different Partition Ratios on the Dataset
6.3 The Comparison Between 10-Fold Cross Validation with Direct Partition Techniques
7 Further Discussion
8 Conclusion and Recommendation
References
Early Prediction of Diabetes Disease Based on Data Mining Techniques
1 Introduction
2 Related Work
3 Description of the Proposed Techniques
3.1 ANN
3.2 Random Forest
4 Contains Dataset Description and Setup
4.1 Description of the Dataset
4.2 Experimental Setup
5 Strategy of Optimization
6 Results and Discussion
6.1 Effect of Feature Selection on the Dataset
6.2 Further Discussion
7 Conclusion
References
An Application-Driven IoT Based Rooftop Farming Model for Urban Agriculture
1 Introduction
2 Comparative Analysis
3 Proposed Work Methodology and Design Model
4 Experimental Setup and Implementation
5 Outcome of Proposed System
6 Conclusion
References
Enhanced Ant Colony Optimization Algorithm for Optimizing Load Balancing in Cloud Computing Platform
1 Literature Review
2 Proposed Method
2.1 Solution Construction
2.2 Pheromone Update
3 Results and Discussion
4 Conclusion
References
Captioning of Image Conceptually Using BI-LSTM Technique
1 Introduction
2 Related Works
3 Fusion Captioning Model
4 Experimental Results
5 Conclusion
References
Analysis of Land Cover Type Using Landsat-8 Data
1 Introduction
2 Related Work
3 Methodology
4 Results and Discussions
4.1 Dataset Selection
4.2 Selection of Region of Interest
4.3 Feature Extraction
4.4 Sampling the Input Imagery
4.5 Training the Classifier
5 Conclusion and Future Works
References
Rule Based Combined Tagger for Marathi Text
1 Introduction
1.1 Part of Speech Tagger
2 Literature Survey
3 Proposed System
3.1 Input Text
3.2 Tokenization
3.3 Marathi Grammar
3.4 Combined Tagger Based Rules
4 Result
5 Conclusion
References
Evaluating Candidate Answers Based on Derivative Lexical Similarity and Space Padding for the Arabic Language
1 Introduction
1.1 Question Answering System
1.2 Challenges of Arabic QAS
2 Text Similarity Algorithms
2.1 String-Based Similarity
2.2 Corpus-Based Similarity
2.3 Knowledge-Based Similarity
2.4 Hybrid-Based Similarity
3 Proposed Method
3.1 Data Collection
3.2 Pre-processing Stage
3.3 Processing Stage
3.4 Algorithm of the Proposed Hamming Model
4 Result and Discussion
5 Conclusion and Future Work
References
Ontology Model for Spatio-Temporal Contexts in Smart Home Environments
1 Introduction
2 Literature Survey
3 Proposed Architecture
3.1 Working Principle
4 Dataset Description
5 Construction of Expert System
5.1 Development of Ontology Model
5.2 Importing Sensor Data as Individuals
6 Results and Discussion
6.1 Rule for Activity Based Sensor Identification – Without Spatial Context
6.2 Rule for Activity Based Sensor Identification – with Spatial Context
6.3 Rule for Identifying Order of Activity: With Temporal Context
7 Conclusion and Future Work
References
Automatic Detection of Buildings Using High Resolution Images for Medium Density Regions
1 Introduction
2 Literature Survey
3 Data
4 Building Extraction
5 Preprocessing
6 Otsu’s Thresholding
7 Morphological Operations
8 Results
9 Conclusion
References
A Liver Segmentation Algorithm with Interactive Error Correction for Abdominal CT Images: A Preliminary Study
1 Introduction
2 Methods
2.1 Preprocessing
2.2 K-Means Clustering and Postprocessing
2.3 Interactive Error Correction
3 Results and Discussion
4 Conclusion and Future Work
References
Pixel Based Adversarial Attacks on Convolutional Neural Network Models
1 Introduction
2 Related Work
3 Proposed System
3.1 Untargeted Attacks
3.2 Targeted Attacks
4 Results and Performance Analysis
5 Conclusion
References
Continual Learning for Classification Problems: A Survey
1 Introduction
2 Regularization Strategies
3 Memory-Based Strategies
4 Structure-Based Strategies
5 Energy-Based Models for Continual Learning
6 Research Insights
7 Concluding Remarks and Future Direction
References
Detection of Flooded Regions from Satellite Images Using Modified UNET
1 Introduction
2 Proposed Method
2.1 Dataset
2.2 Methodology
3 Result and Discussion
4 Conclusion and Future Work
References
Blockchain
Blockchain Based End-To-End Tracking System for COVID Patients
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusion
References
Decentralized Application Using Ethereum Blockchain on Performance Analysis Considering E-Voting System
1 Introduction
2 Preliminaries Work of E-Voting System in Etherum Blockchain
2.1 Motivations
2.2 Challenges Faced by E-Voting System
3 Research Methodology
3.1 Ethereum Smart Contract
3.2 Step to Design a Smart Contract in Ethereum Blockchain
4 Installation
4.1 NPM (Node Package Manager)
4.2 Truffle Framework
4.3 Metamask
4.4 Ganache
5 Implementation
5.1 Building the Ethereum Smart Contract
5.2 Setting up a Smart Contract in Solidity Language
5.3 Code Snippet Mapping the Candidate
5.4 Code Snippet Storage the Candidate Count
5.5 Code Snippet Using Counter Cache
5.6 Testing Smart Contract in Ethereum Main Network
5.7 Lit Server – Installation and Configuration
5.8 Code Snippet for Testing the Server
6 Discussion
7 Conclusion
References
Enhanced Privacy Protection in Blockchain Using SGX and Sidechains
1 Introduction
2 Security and Privacy Issues on Blockchain
2.1 Transaction and Identity Privacy Issue
2.2 Data Integrity Issue
2.3 Data Confidentiality Issue
2.4 Issue on Availability
3 Privacy Preservation Mechanisms and Its Limitations
3.1 Bitcoin Privacy by Mixing Services
3.2 Privacy by Zero Knowledge Proof Mechanism
3.3 Privacy by Signature Scheme
3.4 Privacy by Homomorphic Encryption Technique
3.5 Privacy by Multi-party Computation
4 Limitations of Existing Blockchain Privacy Mechanisms
5 Proposed Method for Privacy Enhancement
5.1 Layer 1: Random Address Generation
5.2 Layer 2: Content Erasure Mechanism
5.3 Layer 3: IntelSGX
6 Conclusion
References
A Comparative Analysis of Blockchain Platform: Issues and Recommendations-Certificate Verification System
1 Introduction
2 Blockchain
3 Blockchain Platform
3.1 Ethereum
3.2 Hyperledger Fabric
4 Comparative Analysis of Blockchain Platform
4.1 Architecture
4.2 Consensus Algorithm
4.3 Applications
4.4 Smart Contract Language
4.5 Scalability
4.6 Smart Contracts and Chaincode
5 Problem and Recommendations
5.1 Problems
5.2 Recommendations
6 Proposed Work
6.1 Process
7 Conclusion
References
Author Index