Advances in Machine Learning and Computational Intelligence
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Advances in Machine Learning and Computational Intelligence: Proceedings of ICMLCI 2019(Algorithms for Intelligent Systems)

Advances in Machine Learning and Computational Intelligence: Proceedings of ICMLCI 2019(Algorithms for Intelligent Systems)

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International Edition


About the Book

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.  

Table of Contents:
Part 1: Modeling & Optimization.- Chapter 1. Intrusion Detection using a Hybrid Sequential Model.- Chapter 2. Simulation and Analysis of the PV Arrays Connected to Buck-Boost converters using MPPT Technique by Implementing Incremental Conductance Algorithm and Integral Controller.- Chapter 3. A New Congestion Control Algorithm for SCTP.- Chapter 4. RGNet: The Novel Framework to Model Linked Research Gate Information into Network using Hierarchical Data Rendering.- Chapter 5. A New Approach for Momentum Particle Swarm Optimization.- Chapter 6. Neural Networks Modeling Based On Recent Global Optimization Techniques.- Part 2: Part 2 - Machine Learning Techniques.- Chapter 7. Network Intrusion Detection Model Using One Class Support Vector Machine.- Chapter 8. Query Performance Analysis Tool for Distributed Systems.- Chapter 9. A Robust Multiple Moving Vehicle Tracking for Intelligent Transportation System.- Chapter 10. Bug Priority Assessment in Cross Project context using Entropy based Measure.- Chapter 11. Internet of Things Security using Machine Learning.- Chapter 12. Churn Prediction and Retention in Banking, Telecom and IT Sector using Machine Learning Techniques.    


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Product Details
  • ISBN-13: 9789811552427
  • Publisher: Springer Verlag, Singapore
  • Publisher Imprint: Springer Verlag, Singapore
  • Height: 235 mm
  • No of Pages: 878
  • Returnable: Y
  • Sub Title: Proceedings of ICMLCI 2019
  • ISBN-10: 9811552428
  • Publisher Date: 26 Jul 2020
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Series Title: Algorithms for Intelligent Systems
  • Width: 155 mm


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