Towards Extensible and Adaptable Methods in Computing

This book addresses extensible and adaptable computing, a broad range of methods and techniques used to systematically tackle the future growth of systems and respond proactively and seamlessly to change. The book is divided into five main sections: Agile Software Development, Data Management, Web I...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Chakraverty, Shampa (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Goel, Anil (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Misra, Sanjay (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Chapter 1. Risk Assessment Framework: ADRIM Process model for Global Software Development
  • Chapter 2. An Extended Test Case Prioritization Technique using Script and Linguistic Parameters in a Distributed Agile Environment
  • Chapter 3. AutoJet: Web Application Automation Tool
  • Chapter 4. Prioritisation of User Story Acceptance Tests in Agile Software Development using Meta Heuristic Techniques in Comparative Analysis
  • Chapter 5. Software Reliability assessment using Deep Learning Technique
  • Chapter 6 . Empirical Validation of OO metrics and machine learning algorithms for software change proneness
  • Chapter 7. Extending database cache using SSDs
  • Chapter 8. Cloud Based Healthcare Monitoring System Using STORM And KAFKA
  • Chapter 9. Honeynet Data Analysis and Distributed SSH Brute-Force Attacks
  • Chapter 10. Efficient Data Transmission in WSN: Techniques & Future Challenges
  • Chapter 11. A Study of Epidemic Spreading and Rumor Spreading over Complex Networks
  • Chapter 12. Medical Alert System using Social Data
  • Chapter 13. A novel framework for portfolio optimization based on modified Simulated Annealing algorithm using ANN, RBFN and ABC Algorithm
  • Chapter 14. A Proposed Method for Disruption Classification in Tokamak using Convolutional Neural Network
  • Chapter 15. Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection Using Weka
  • Chapter 16. Super-Intelligent Machine Operations in 21st Century Manufacturing Industries: A Boost or Doom to Political and Human Development?
  • Chapter 17. Exploring Ensembles for Unsupervised Outlier Detection: An Empirical Analysis
  • Chapter 18. A Review of Type-III Metaphors
  • Chapter 19. Multi-Class Classification of Sentiments in Hindi Sentences Based on Intensities
  • Chapter 20. Language identification for Hindi language transliterated text in Roman Script using Generative Adversarial Networks
  • Chapter 21. An improved Similarity Measure to alleviate sparsity problem in Context Aware Recommender Systems
  • Chapter 22. Trust and Reputation-Based Model to Prevent Denial of Service Attacks in Mobile Agent System
  • Chapter 23. Fraud Detection in Online Transactions Using Supervised Learning Techniques
  • Chapter 24. Real-time Printed Text Reader for Visually Impaired
  • Chapter 25. Knowledge and Belief Based Task Assignment in Crowdsourcing Platform
  • Chapter 26. Teaching Algorithms Using an Android App
  • Chapter 27. Keyword Extraction using Graph Centrality and WordNet
  • Chapter 28. Hybrid Mobile Learning Architecture for Higher Education
  • Chapter 29. Using Collaborative Robotics as a Way to Engage Students
  • Chapter 30. Assessing Scratch Programmers' Development of Computational Thinking with Transaction-Level Data.