04789nam 22005655 450 991048367670332120240603075804.03-030-15628-110.1007/978-3-030-15628-2(CKB)4100000008618263(MiAaPQ)EBC5811798(DE-He213)978-3-030-15628-2(PPN)243771584(EXLCZ)99410000000861826320190706d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine Learning Paradigms Applications of Learning and Analytics in Intelligent Systems /edited by George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (552 pages)Learning and Analytics in Intelligent Systems,2662-3447 ;13-030-15627-3 Chapter 1: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems -- Chapter 2: A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure -- Chapter 3: Differential gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research -- Chapter 4: Machine Learning Approaches for Pap-Smear Diagnosis: An Overview -- Chapter 5: Multi-Kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systems -- Chapter 6: Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitative and Qualitative Methods -- Chapter 7: Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning -- Chapter 8: Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques -- Chapter 9: A Taxonomy and Review of the Network Data Envelopment Analysis Literature -- Chapter 10: Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Dams -- Chapter 11: Analytics and Evolving Landscape of Machine Learning for Emergency Response -- Chapter 12: Social Media Analytics, Types and Methodology -- Chapter 13: Machine Learning Methods for Opinion Mining in Text: The Past and the Future -- Chapter 14: Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment -- Chapter 15: Video Analytics for Visual Surveillance and Applications: An Overview and Survey -- Chapter 16: Machine Learning in Alternate Testing of Integrated Circuits.This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.Learning and Analytics in Intelligent Systems,2662-3447 ;1Computational intelligenceEngineering—Data processingMachine learningComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Data Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T11040Machine Learninghttps://scigraph.springernature.com/ontologies/product-market-codes/I21010Computational intelligence.Engineering—Data processing.Machine learning.Computational Intelligence.Data Engineering.Machine Learning.006.31Tsihrintzis George Aedthttp://id.loc.gov/vocabulary/relators/edtVirvou Mariaedthttp://id.loc.gov/vocabulary/relators/edtSakkopoulos Evangelosedthttp://id.loc.gov/vocabulary/relators/edtJain Lakhmi Cedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910483676703321Machine Learning Paradigms1995437UNINA