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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2018.
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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.