5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing: BDCC 2022

Description

This book features the proceedings of the 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2022). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. Preface Conference Organization Contents Part I Bigdata Services and Analytical Database Enhanced Dense Layers Using a Quadratic Transformation Function 1 Introduction 2 Literature Review 3 Methodology 3.1 Defining Custom Layers 3.2 Data Acquisition 3.3 Model Architecture and Model Compilation 3.4 Preparing Custom Training Loop 3.5 Model Training and Evaluation 4 Results and Analysis 5 Conclusion References Analysis of Metaheuristic Algorithms for Optimized Extreme Learning Machines in Various Sectors 1 Introduction 1.1 ELM and Its Training 1.2 Metaheuristic Optimization 1.3 Training Details of ELM Using Metaheuristic Optimization 2 Applications of MHOA-Based ELM in the Literature 3 Results and Discussions References Metal and Metal Oxide Nanoparticle Image Analysis Using Machine Learning Algorithm 1 Introduction 2 Materials and Methods 3 Proposed Method 3.1 Feature Extraction and Classification 4 Experimental Results and Discussion 5 Conclusion References Efficient Implementation to Reduce the Data Size in Big Data Using Classification Algorithm of Machine Learning 1 Introduction 1.1 Machine Learning Classifiers Comprise Three Primary Structures of Data Supported 1.2 Benefits of Huge Information Analytics 2 Related Works 3 System Architecture 3.1 Big Data Sources 3.2 Data Storage 3.3 Stream Processing 3.4 Machine Learning Models 4 Methodology 5 Result Analysis of Our Proposed Work 6 Conclusion References Tracer for Estimation of the Data Changes Delivered and Permalinks 1 Introduction 2 Literature Survey 3 Proposed System 4 Methodology 5 Results and Discussions 6 Conclusion References Part II Bigdata and Privacy Preserving Services Design and Development of a Smart Home Management System Based on MQTT Incorporated in Mesh Network 1 Introduction 2 Overview 2.1 System Architecture 2.2 Mesh Networks 2.3 Layered Architecture 2.4 MQTT Communication System 3 Implementation 3.1 Technologies and Platforms used 3.2 Prototype Design 4 Results and Discussions 5 Conclusion References Novel Machine-Learning-Based Decision Support System for Fraud Prevention 1 Introduction 2 Related Works 3 Machine-Learning-Based Fraud Prevention System 4 Experiments and Results 4.1 Data Collecting 4.2 Data Preprocessing 4.3 Performance Evaluation of MLFS 5 Conclusions References Big Data Challenges in Retail Sector: Perspective from Data Envelopment Analysis 1 Introduction 2 Literature Review 2.1 Big Data in the Retail Sector 2.2 Challenges of Implementing Big Data in Retail Sector 3 Research Methods 4 Results 4.1 Project Specifications 4.2 Efficiency 4.3 Reference Set 4.4 (Weights for Peer Units) 4.5 Weights (Values of the Variables for the Primary Model) 4.6 Input and Output Slacks 4.7 Target Values 5 Discussion 6 Conclusion References Part III Bigdata and Data Management Systems Restoration of Ancient Kannada Handwritten Palm Leaf Manuscripts Using Image Enhancement Techniques 1 Introduction 2 Proposed Method 2.1 Iterative Global Thresholding (IGT) 2.2 Mathematical Analysis 3 Experimental Results and Discussion 4 Conclusion References Mutli-Label Classification Using Label Tuning Method in Scientific Workflows 1 Introduction 2 Related Works 3 Label Tuning in Scientific Workflow 3.1 Euclidean Distance 3.2 Normalization 3.3 Naïve-Bayes Classification 3.4 Proposed Label Tuning Method 3.4.1 Similarity Checking 3.4.2 Min-Max Normalization 4 Results and Discussions 4.1 Experimental Analysis of Label Tuning Method 5 Conclusion References A Comparative Analysis of Assignment Problem 1 Introduction 2 Literature Review 2.1 Literature Related to the Assignment Problems 2.2 Literature Related to the Unbalanced Assignment Problem 3 Methodology 3.1 Model Formulation 3.2 Balanced Assignment Problem 3.3 Unbalanced Assignment Problem 4 Conclusion and Future Recommendations References Part IV Bigdata in Medical Applications A Survey on Memory Assistive Technology for Elderly 1 Introduction 2 Literature Survey 2.1 Analysis 3 Proposed Design 4 Conclusion References An Experimental Investigation on the Emotion Recognition Using Power Spectrum Density and Machine Learning Algorithms in EEG Signals 1 Introduction 1.1 Human Brain 1.2 Emotions 1.3 Electroencephalography Signals 2 Previous Works 3 Proposed System 3.1 Data Acquisition 3.1.1 DEAP Dataset 3.2 Data Pre-processing 3.3 Feature Extraction 3.3.1 Classification 4 Experimental Results 5 Summary and Conclusion References Detection and Classification of Pneumonia and COVID-19 from Chest X-Ray Using Convolutional Neural Network 1 Introduction 2 Literature Survey 3 Proposed Method 4 Experimental Results 5 Conclusion and Future Work References Part V Bigdata in Future Advancements Stopwords Aware Emotion-Based Sentiment Analysis of News Articles 1 Introduction 2 Related Work 3 Proposed Approach 4 Implementation Details and Evaluation 5 Conclusion References An Empirical Study to Assess the Factors Influencing Banking Customers Toward FINTECH Adoption in Tamil Nadu 1 Introduction 1.1 Objectives of the Study 1.2 Research Methodology 2 Analysis and Interpretation 3 Fintech and Their Attributes 3.1 Reliability Level and Grouping of Variables 3.2 Influence of Factors on Fintech Usage 4 Conclusion 4.1 Limitations of the Study References Driver's Drowsiness Detection Using SpO2 1 Introduction 2 Literature Review 3 Objective of the Work 4 System Analysis 4.1 Existing System 4.2 Proposed System 5 Hardware and Software Requirements 5.1 SpO2 Sensor 5.2 LCD Display 5.3 Alarm 5.4 ArduinoIDE 6 Implementation and Results 7 Experimental Results 8 Conclusion and Future Work References A Blockchain Framework for Investment Authorities to Manage Assets and Funds 1 Introduction 2 Background 2.1 Basic Ledger in a Blockchain 2.2 Hyperledger Fabric 2.3 Hyperledger Minifabric 3 Related Works 4 Proposed Framework 5 Conclusion References Index