LEADER 12934nam 22008775 450 001 9910728933703321 005 20230531224236.0 010 $a981-9905-50-8 024 7 $a10.1007/978-981-99-0550-8 035 $a(MiAaPQ)EBC30558374 035 $a(Au-PeEL)EBL30558374 035 $a(OCoLC)1381097530 035 $a(DE-He213)978-981-99-0550-8 035 $a(BIP)087732316 035 $a(PPN)270614907 035 $a(CKB)26816390600041 035 $a(EXLCZ)9926816390600041 100 $a20230531d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInnovations in Data Analytics $eSelected Papers of ICIDA 2022 /$fedited by Abhishek Bhattacharya, Soumi Dutta, Paramartha Dutta, Vincenzo Piuri 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (633 pages) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1442 311 08$aPrint version: Bhattacharya, Abhishek Innovations in Data Analytics Singapore : Springer Singapore Pte. Limited,c2023 9789819905492 327 $aIntro -- Foreword -- Preface -- Contents -- About the Editors -- Computational Intelligence -- Transience in COVID Patients with Comorbidity Issues-A Systematic Review and Meta-Analysis Based on Indian and Southeast Asian Context -- 1 Introduction -- 1.1 Risk of COVID Patients with Comorbidity Issues -- 2 COVID Patient Statistics with Comorbidity Issues -- 3 Research Methodology -- 3.1 Search Strategy -- 4 Related Literature Survey in This Area -- 5 Discussion -- 6 Conclusion and Future Scope -- References -- NFT HUB-The Decentralized Non-Fungible Token Market Place -- 1 Introduction -- 1.1 Non-Fungible Token -- 1.2 Blockchain -- 2 Literature Survey -- 3 Proposed System -- 3.1 Blockchain -- 3.2 Ethereum Blockchain -- 3.3 Properties of Blockchain -- 3.4 Generic Elements of the Blockchain -- 3.5 Secure Hash Algorithm -- 4 Results and Discussion -- 4.1 Deployment Confirmation -- 4.2 Metamask Wallet -- 4.3 Minting Page -- 4.4 Transaction Address -- 4.5 Dashboard -- 5 Conclusion -- 5.1 Future Scope of the Project -- References -- Hashgraph: A Decentralized Security Approach Based on Blockchain with NFT Transactions -- 1 Introduction -- 1.1 Optimized Blockchain Server -- 2 Literature Survey -- 2.1 Survey Report: On Token Service -- 2.2 Survey Report: On Main-Net Access -- 2.3 Survey Report: Remove Centralized Control: Hala Systems -- 3 Proposed System -- 3.1 Non-Fungible Transaction -- 3.2 Blockchain Methodology -- 3.3 Gossip Protocol -- 3.4 Hashgraph -- 3.5 Consensus Algorithm [In Gossip Protocol] -- 3.6 HCS Implementation -- 4 Performance Evaluation -- 4.1 Transaction Cost Denomination of Our Network -- 4.2 Transaction Cost of Network on Blockchain NFT -- 5 Result and Discussion -- 6 Conclusion -- References -- Med Card: An Innovative Way to Keep Your Medical Records Handy and Safe -- 1 Introduction -- 1.1 What is Blockchain?. 327 $a1.2 What is Machine Learning? -- 2 Literature Review -- 3 Technologies Used -- 3.1 Blockchain in Health Care -- 3.2 Machine Learning in Health Care -- 4 Proposed Idea -- 4.1 What is a Med Card? -- 4.2 Workflow -- 5 Conclusion and Future Scope -- References -- Delta Operator-Based Modelling and Control of High Power Induction Motor Using Novel Chaotic Gorilla Troop Optimizer -- 1 Introduction -- 2 Formulation of the Problem -- 3 New Chaotic Gorilla Troop Optimizer -- 4 Simulation Ouput and Their Analysis -- 5 Conclusions -- References -- An Enhanced Optimize Outlier Detection Using Different Machine Learning Classifier -- 1 Introduction -- 2 Outlier Detection -- 3 Literature Review -- 4 Proposed Methodology -- 5 Simulation Result -- 6 Conclusion -- References -- Prediction of Disease Diagnosis for Smart Healthcare Systems Using Machine Learning Algorithm -- 1 Introduction -- 2 Heart Disease -- 3 Diabetes Mellitus -- 4 Proposed Methodology -- 5 Simulation Results -- 6 Conclusion -- References -- Optimization Accuracy on an Intelligent Approach to Detect Fake News on Twitter Using LSTM Neural Network -- 1 Introduction -- 2 Road Map of Methodology -- 2.1 Data Collection and Filtration -- 2.2 Pre-processing -- 2.3 Feature Extraction -- 2.4 Feature Selection -- 2.5 Classification -- 3 Proposed Methodology -- 4 Simulation Results -- 5 Conclusion -- References -- Advance Computing -- Mining User Interest Using Bayesian-PMF and Markov Chain Monte Carlo for Personalised Recommendation Systems -- 1 Introduction -- 2 Related Work and Background -- 3 Experimental Methodology -- 3.1 Probabilistic Matrix Factorization (PMF) -- 3.2 Bayesian-PMF with MCMC -- 3.3 Sparsity Reduction -- 3.4 Performance Measure -- 4 Proposed Architecture -- 5 Experimental Outcomes and Investigation -- 5.1 Dataset Description -- 6 Conclusion and Future Work -- References. 327 $aBig Data and Its Role in Cybersecurity -- 1 Introduction -- 2 Security Using Big Data -- 2.1 Use of Big Data Analytic (BDA) as Defense Tool -- 2.2 Cybersecurity and Machine Learning -- 3 Cybersecurity Approaches in Big Data -- 4 Research Trends and Challenges -- 4.1 Use of Big Data in Defense -- 4.2 Laws Regulating to Big Data -- 4.3 Distribution of Data for Storage -- 4.4 Security Technique Scalability in the Big Data -- 5 Conclusions -- References -- QR Code-Based Digital Payment System Using Visual Cryptography -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Implementation -- 4.1 Encryption -- 4.2 AES Algorithm -- 4.3 Decryption -- 5 Result -- 6 Conclusion -- References -- A Study of Different Approaches of Offloading for Mobile Cloud Computing -- 1 Introduction -- 2 Research Method -- 3 Offloading for Mobile Cloud Computing -- 4 Applications Suitable for Offloading in MCC -- 5 Different Offloading Approaches -- 6 Conclusion -- References -- Use of Machine Learning Models for Analyzing the Accuracy of Predicting the Cancerous Diseases -- 1 Introduction -- 2 Related Work -- 3 Machine Learning Models -- 3.1 Logistic Regression -- 3.2 Decision Tree -- 3.3 Random Forest Classifier -- 4 Experiment -- 4.1 Experiment Environment -- 4.2 Breast Cancer Dataset -- 5 Experimental Results -- 6 Conclusion -- References -- Predict Employee Promotion Using Supervised Classification Approaches -- 1 Introduction -- 2 Related Works -- 3 Implementation -- 3.1 Proposed Model -- 3.2 Data Collection -- 3.3 Data Analysis -- 3.4 Engineered Functions -- 3.5 Train-Test-Split -- 3.6 Model Building -- 4 Performance Evaluation -- 5 Conclusion -- References -- Smart Grid Analytics-Analyzing and Identifying Power Distribution Losses with the Help of Efficient Data Regression Algorithms -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Results. 327 $a5 Conclusion -- References -- Load Balancing on Cloud Using Genetic Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 4 Results -- 5 Conclusions and Future Work -- References -- Network Security and Telecommunication -- Hybrid Feature Selection Approach to Classify IoT Network Traffic for Intrusion Detection System -- 1 Introduction -- 2 Literature Survey -- 3 Research Gaps -- 4 Proposed Work -- 4.1 Proposed Methodology -- 5 Experimental Results -- 5.1 Dataset Description -- 5.2 System Configuration -- 5.3 Model Parameters -- 5.4 Performance Parameters -- 6 Conclusion -- References -- A Deep Learning-Based Framework for Analyzing Stress Factors Among Working Women -- 1 Introduction -- 2 Literature Survey -- 3 Stress Factors (Stressors) -- 3.1 Deep Learning: Background -- 3.2 Deep Learning-Based Framework for Early Stress Detection -- 4 Results and Discussion -- 5 Conclusion -- References -- Automatic Question Generation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Methodology -- 5 Conclusion and Future Scope -- References -- Automatic Construction of Named Entity Corpus for Adverse Drug Reaction Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Biomedical Named Entity Recognition -- 2.2 Datasets for Biomedical Entity Recognition -- 3 Proposed Work -- 3.1 ADR Corpus Overview -- 3.2 Corpus Construction Steps -- 4 Results -- 4.1 Contributions -- 4.2 Statistics -- 5 Discussion -- References -- A Space Efficient Metadata Structure for Ranking Subset Sums -- 1 Introduction -- 1.1 Problem Formulation -- 1.2 Past Work -- 1.3 Our Contribution -- 2 Outline of Our Technique -- 3 Generation of Top-kk Subsets -- 3.1 The Metadata Structure upper GG -- 3.2 Construction of Metadata Structure upper GG -- 3.3 Query Answering with Heap -- 3.4 Modified Metadata Structure upper GG -- 3.5 The Final Structure of upper GG. 327 $a3.6 Generation of Top-kk Subsets by upper GG on Demand -- 3.7 Getting Rid of the Bit String -- 4 Experimental Results -- 4.1 Analysis of the Results -- 5 Conclusion -- References -- Brain Tumour Detection Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Methodology and Materials -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Implementation of a Smart Patient Health Tracking and Monitoring System Based on IoT and Wireless Technology -- 1 Overview -- 2 Block Diagram -- 3 Methodology and Results -- 3.1 Database Tracking and Maintenance -- 4 Conclusion and Future Scope -- References -- Diabetes Disease Prediction Using KNN -- 1 Introduction -- 2 Literature Survey -- 2.1 How is Data Science Revolutionizing the Healthcare Industry? -- 2.2 Role of Data Science in Health Care -- 2.3 Diabetes Detection Using Data Science -- 2.4 Flow of the Methodology Used for Diabetes Detection -- 3 Proposed System -- 4 Results -- 4.1 Experimental Results -- 4.2 Visualization of Obtained Results -- 5 Conclusion -- 6 Future Scope -- References -- Review: Application of Internet of Things (IoT) for Vehicle Simulation System -- 1 Introduction -- 2 Application -- 3 Basic Concepts of IoT -- 4 Simulation Concept -- 5 Simulation-Based Internet of Things -- 6 Application of Simulated IoT for System Used in Vehicle -- 7 Car Simulation Structure and Principle -- 8 Embedding Security Features in a Vehicle Using IoT -- 9 Conclusion and Future Scope -- References -- Data Science and Data Analytics -- Time Series Analysis and Forecast Accuracy Comparison of Models Using RMSE-Artificial Neural Networks -- 1 Introduction -- 2 Related Research -- 3 Neural Networks Models in Time Series -- 3.1 Feed-Forward Neural Network Model -- 3.2 Time-Lagged Neural Networks -- 3.3 Seasonal Artificial Neural Networks -- 3.4 Long Short-Term Memory (LSTM). 327 $a4 Time Series Analysis. 330 $aThis book features research papers presented at the 1st International Conference on Innovations in Data Analytics (ICIDA 2022), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during November 29?30, 2022. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry. . 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1442 606 $aComputational intelligence 606 $aQuantitative research 606 $aImage processing?Digital techniques 606 $aComputer vision 606 $aData protection 606 $aTelecommunication 606 $aComputational Intelligence 606 $aData Analysis and Big Data 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aData and Information Security 606 $aCommunications Engineering, Networks 610 $aComputer Security 610 $aTelecommunication 610 $aEngineering 610 $aComputers 610 $aTechnology & Engineering 615 0$aComputational intelligence. 615 0$aQuantitative research. 615 0$aImage processing?Digital techniques. 615 0$aComputer vision. 615 0$aData protection. 615 0$aTelecommunication. 615 14$aComputational Intelligence. 615 24$aData Analysis and Big Data. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aData and Information Security. 615 24$aCommunications Engineering, Networks. 676 $a006.3 700 $aBhattacharya$b Abhishek$0872317 701 $aDutta$b Soumi$01365675 701 $aDutta$b Paramartha$0852950 701 $aPiuri$b Vincenzo$0519976 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910728933703321 996 $aInnovations in Data Analytics$93387836 997 $aUNINA