rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Applications of machine learning in big-data analytics and cloud computing
  name:
    name part: Pani, Subhendu Kumar
    name part: 1980-
    role:
      role term: editor.
  name:
    name part: Tripathy, Somanath
    role:
      role term: editor.
  name:
    name part: Jandieri, George
    role:
      role term: editor.
  name:
    name part: Kundu, Sumit
    role:
      role term: editor.
  name:
    name part: Butt, Talal Ashraf
    role:
      role term: editor.
  name:
    name part: ProQuest (Firm)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: dk
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Preface xv List of Contributors xxi List of Figures xxv List of Tables xxix List of Abbreviations xxxi 1 Pattern Analysis of COVID-19 Death and Recovery Cases Data of Countries Using Greedy Biclustering Algorithm 1 1.1 Introduction 2 1.2 Problem Description 3 1.2.1 Greedy Approach: Bicluster Size Maximization Based Fitness Function 4 1.2.2 Data Description 5 1.3 Proposed Work: COVID 19 Pattern Identification Using Greedy Biclustering 7 1.4 Results and Discussions 8 1.5 Conclusion 18 1.6 Acknowledgements 18 References 18 2 Artificial Fish Swarm Optimization Algorithm with Hill Climbing Based Clustering Technique for Throughput Maximization in Wireless Multimedia Sensor Network 23 2.1 Introduction 24 2.2 The Proposed AFSA-HC Technique 27 2.2.1 AFSA-HC Based Clustering Phase 28 2.2.2 Deflate-Based Data Aggregation Phase 33 2.2.3 Hybrid Data Transmission Phase 34 2.3 Performance Validation 34 2.4 Conclusion 40 References 40 3 Analysis of Machine Learning Techniques for Spam Detection 43 3.1 Introduction 44 3.1.1 Ham Messages 44 3.1.2 Spam Messages 44 3.2 Types of Spam Attack 45 3.2.1 Email Phishing 45 3.2.2 Spear Phishing 45 3.2.3 Whaling 46 3.3 Spammer Methods 46 3.4 Some Prevention Methods From User End 46 3.4.1 Protect Email Addresses 46 3.4.2 Preventing Spam from Being Sent 47 3.4.3 Block Spam to be Delivered 48 3.4.4 Identify and Separate Spam After Delivery 48 3.4.4.1 Targeted Link Analysis 48 3.4.4.2 Bayesian Filters 48 3.4.5 Report Spam 48 3.5 Machine Learning Algorithms 48 3.5.1 Na̐ve Bayes (NB) 48 3.5.2 Random Forests (RF) 49 3.5.3 Support Vector Machine (SVM) 49 3.5.4 Logistic Regression (LR) 50 3.6 Methodology 51 3.6.1 Database Used 51 3.6.2 Work Flow 51 3.7 Results and Analysis 52 3.7.1 Performance Metric 52 3.7.2 Experimental Results 52 3.7.2.1 Cleaning Data by Removing Punctuations, White Spaces, and Stop Words 54 3.7.2.2 Stemming the Messages 55 3.7.2.3 Analyzing the Common Words from the Spam and Ham Messages 55 3.7.3 Analyses of Machine Learning Algori…
  table of contents: Introduction 231 11.2 Healthcare Internet of Things 233 11.2.1 Challenges in H-IoT 238 11.3 Software-Defined Networking 239 11.4 Opportunities, challenges, and possible solutions 243 11.5 Conclusion 245 References 246 12 Cloud Computing in the Public Sector: A Study 249 12.1 Introduction 250 12.2 History and Evolution of Cloud Computing 251 12.3 Application of Cloud Computing 252 12.4 Advantages of Cloud Computing 258 12.5 Challenges 263 12.6 Conclusion 269 13 Big Data Analytics: An overview 271 13.1 Introduction 271 13.2 Related Work 272 13.2.1 Big Data: What Is It? 275 13.2.1.1 Characteristics of Big Data 276 13.2.2 Big Data Analytics: What Is It? 277 13.3 Hadoop and Big Data 278 13.4 Big Data Analytics Framework 279 13.5 Big Data Analytics Techniques 280 13.5.1 Partitioning on Big Data 280 13.5.2 Sampling on Big Data 281 13.5.3 Sampling-Based Approximation 281 13.6 Big Social Data Analytics 281 13.7 Applications 282 13.7.1 Manufacturing Production 282 13.7.2 Smart Grid 283 13.7.3 Outbreak of Flu Prediction from Social Site 283 13.7.4 Sentiment Analysis of Twitter Data 283 13.8 Electricity Price Forecasting 284 13.9 Security Situational Analysis for Smart Grid 285 13.10 Future Scope 285 13.11 Challenges 285 13.12 Conclusion 286 References 286 14 Video Usefulness Detection in Big Surveillance Syst ...
  note: edited by Subhendu Kumar Pani, Somanath Tripathy, George Jandieri, Sumit Kundu, Talal Ashraf Butt.
  note: Electronic resource.
  subject:
    topic: Big data
  subject:
    topic: Machine learning
  subject:
    topic: Cloud computing
  classification: QA76.9.B45 A67 2021
  classification: 005.7
  related item:
    title info:
      title: Applications of machine learning in big-data analytics and cloud computing
    origin info:
      publisher: Gistrup : River Publishers, 2021
  identifier: 9788770221818
  identifier: 8770221812
  identifier: 9788770221825
  identifier: 8770221820
  identifier: 9478280 IEEE
  identifier: https://ebookcentral.proquest.com/lib/tamucs/detail.action
  record info:
    record content source: NhCcYBP
    record creation date: 210721
    record change date: 20250816223547.6
    record identifier: in00004371330