001431694 000__ 04450cam\a2200625\i\4500
001431694 001__ 1431694
001431694 003__ OCoLC
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001431694 0247_ $$a10.1007/978-981-15-5243-4$$2doi
001431694 0248_ $$a10.1007/978-981-15-5
001431694 035__ $$aSP(OCoLC)1181996801
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001431694 049__ $$aISEA
001431694 050_4 $$aQ325.5$$b.I26 2019
001431694 08204 $$a006.31$$223
001431694 1112_ $$aICMLCI (Conference)$$d(2019 :$$cKantabada, India)
001431694 24510 $$aAdvances in machine learning and computational intelligence :$$bproceedings of ICMLCI 2019 /$$cSrikanta Patnaik, Xin-She Yang, Ishwar K. Sethi, editors.
001431694 2463_ $$aICMLCI 2019
001431694 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001431694 300__ $$a1 online resource
001431694 336__ $$atext$$btxt$$2rdacontent
001431694 337__ $$acomputer$$bc$$2rdamedia
001431694 338__ $$aonline resource$$bcr$$2rdacarrier
001431694 4901_ $$aAlgorithms for Intelligent Systems
001431694 5050_ $$aPart 1: Modeling & Optimization -- Chapter 1. Intrusion Detection using a Hybrid Sequential Model -- Chapter 2. Simulation and Analysis of the PV Arrays Connected to Buck-Boost converters using MPPT Technique by Implementing Incremental Conductance Algorithm and Integral Controller -- Chapter 3. A New Congestion Control Algorithm for SCTP -- Chapter 4. RGNet: The Novel Framework to Model Linked Research Gate Information into Network using Hierarchical Data Rendering -- Chapter 5. A New Approach for Momentum Particle Swarm Optimization -- Chapter 6. Neural Networks Modeling Based On Recent Global Optimization Techniques -- Part 2: Part 2 -- Machine Learning Techniques -- Chapter 7. Network Intrusion Detection Model Using One Class Support Vector Machine -- Chapter 8. Query Performance Analysis Tool for Distributed Systems -- Chapter 9. A Robust Multiple Moving Vehicle Tracking for Intelligent Transportation System -- Chapter 10. Bug Priority Assessment in Cross Project context using Entropy based Measure -- Chapter 11. Internet of Things Security using Machine Learning -- Chapter 12. Churn Prediction and Retention in Banking, Telecom and IT Sector using Machine Learning Techniques.
001431694 506__ $$aAccess limited to authorized users.
001431694 520__ $$aThis book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.
001431694 588__ $$aOnline resource; title from digital title page (viewed on August 24, 2020).
001431694 650_0 $$aMachine learning$$vCongresses.
001431694 650_0 $$aComputational intelligence$$vCongresses.
001431694 650_6 $$aApprentissage automatique$$vCongrès.
001431694 650_6 $$aIntelligence informatique$$vCongrès.
001431694 655_7 $$aConference papers and proceedings$$2fast$$0(OCoLC)fst01423772
001431694 655_7 $$aConference papers and proceedings.$$2lcgft
001431694 655_7 $$aActes de congrès.$$2rvmgf
001431694 655_0 $$aElectronic books.
001431694 7001_ $$aPatnaik, Srikanta,$$eeditor.
001431694 7001_ $$aYang, Xin-She,$$eeditor.
001431694 7001_ $$aSethi, Ishwar K.,$$d1948-$$eeditor.
001431694 77608 $$iPrint version:$$aICMLCI (Conference) (2019 : Kantabada, India).$$tAdvances in machine learning and computational intelligence.$$dSingapore : Springer, [2021]$$z9811552428$$z9789811552427$$w(OCoLC)1148867436
001431694 830_0 $$aAlgorithms for intelligent systems.
001431694 852__ $$bebk
001431694 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5243-4$$zOnline Access$$91397441.1
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001431694 980__ $$aBIB
001431694 980__ $$aEBOOK
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