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Advances in Machine Learning and Computational Intelligence: Proceedings of ICMLCI 2019 [Hardcover]

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  • Category: Books (Technology & Engineering)
  • ISBN-10:  9811552428
  • ISBN-10:  9811552428
  • ISBN-13:  9789811552427
  • ISBN-13:  9789811552427
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Apr-2020
  • Pub Date:  01-Apr-2020
  • SKU:  9811552428-11-SPRI
  • SKU:  9811552428-11-SPRI
  • Pages:  878
  • Pages:  878
  • Item ID: 105219810
  • List Price: $219.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 04 to Oct 06
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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.

 


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 Techniquesl+
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