國立虎尾科技大學 |

Machine Learning Paradigms = Applications of Learning and Analytics in Intelligent Systems /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning Paradigms/ edited by George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain.
其他題名:	Applications of Learning and Analytics in Intelligent Systems /
其他作者:	Tsihrintzis, George A.
面頁冊數:	XX, 548 p. 139 illus., 101 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine learning. -
電子資源:	https://doi.org/10.1007/978-3-030-15628-2
ISBN:	9783030156282

Machine Learning Paradigms = Applications of Learning and Analytics in Intelligent Systems /
Machine Learning ParadigmsApplications of Learning and Analytics in Intelligent Systems /[electronic resource] :edited by George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain. - 1st ed. 2019. - XX, 548 p. 139 illus., 101 illus. in color.online resource. - Learning and Analytics in Intelligent Systems,12662-3447 ;. - Learning and Analytics in Intelligent Systems,1.

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.

ISBN: 9783030156282

Standard No.: 10.1007/978-3-030-15628-2doiSubjects--Topical Terms:

561253
Machine learning.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Machine Learning Paradigms = Applications of Learning and Analytics in Intelligent Systems /
LDR:04055nam a22004095i 4500 001 1004469
003 DE-He213
005 20200703175244.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030156282 $9 978-3-030-15628-2
024 7 $a 10.1007/978-3-030-15628-2 $2 doi
035 $a 978-3-030-15628-2
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Machine Learning Paradigms $h [electronic resource] : $b Applications of Learning and Analytics in Intelligent Systems / $c edited by George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XX, 548 p. 139 illus., 101 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Learning and Analytics in Intelligent Systems, $x 2662-3447 ; $v 1
505 0 $a 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.
520 $a 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.
650 0 $a Machine learning. $3 561253
650 0 $a Computational intelligence. $3 568984
650 0 $a Engineering—Data processing. $3 1297966
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Data Engineering. $3 1226308
650 2 4 $a Machine Learning. $3 1137723
700 1 $a Tsihrintzis, George A. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 681153
700 1 $a Virvou, Maria. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 665395
700 1 $a Sakkopoulos, Evangelos. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1297964
700 1 $a Jain, Lakhmi C. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 671306
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030156275
776 0 8 $i Printed edition: $z 9783030156299
776 0 8 $i Printed edition: $z 9783030156305
830 0 $a Learning and Analytics in Intelligent Systems, $x 2662-3447 ; $v 1 $3 1297965
856 4 0 $u https://doi.org/10.1007/978-3-030-15628-2
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)