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In den WarenkorbZustand: New. pp. 176 Illus.
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Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, 2011
ISBN 10: 9814280143 ISBN 13: 9789814280143
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Sprache: Englisch
Verlag: Springer Nature Singapore, 2020
ISBN 10: 9811577811 ISBN 13: 9789811577819
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book captures the dynamic relationship between COVID-19 pandemic, crude oil prices and major stock indices as well as the crude oil prices and stock market volatility that have been caused due to outbreak of this pandemic. The pandemic has changed the world melodramatically and major world markets collapsed in the beginning, affecting major industries in an unprecedented way. The book will be useful to the researcher in the field of finance and economics, and policy makers both at government and private level, keeping in view the present state of economy throughout the world.
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Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2008
ISBN 10: 3642096158 ISBN 13: 9783642096150
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In den WarenkorbPaperback. Zustand: Brand New. 174 pages. 9.21x6.06x0.47 inches. In Stock.
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Taschenbuch. Zustand: Neu. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases | Ashish Ghosh (u. a.) | Taschenbuch | Studies in Computational Intelligence | xiv | Englisch | 2010 | Springer | EAN 9783642096150 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2010
ISBN 10: 3642096158 ISBN 13: 9783642096150
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data Mining (DM) is the most commonly used name to describe such computational analysis of data and the results obtained must conform to several objectives such as accuracy, comprehensibility, interest for the user etc. Though there are many sophisticated techniques developed by various interdisciplinary fields only a few of them are well equipped to handle these multi-criteria issues of DM. Therefore, the DM issues have attracted considerable attention of the well established multiobjective genetic algorithm community to optimize the objectives in the tasks of DM.The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2008
ISBN 10: 3540774661 ISBN 13: 9783540774662
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data Mining (DM) is the most commonly used name to describe such computational analysis of data and the results obtained must conform to several objectives such as accuracy, comprehensibility, interest for the user etc. Though there are many sophisticated techniques developed by various interdisciplinary fields only a few of them are well equipped to handle these multi-criteria issues of DM. Therefore, the DM issues have attracted considerable attention of the well established multiobjective genetic algorithm community to optimize the objectives in the tasks of DM.The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.
Sprache: Englisch
Verlag: World Scientific Pub Co Inc, 2011
ISBN 10: 9814280143 ISBN 13: 9789814280143
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 176,19
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Taschenbuch. Zustand: Neu. Swarm Intelligence for Multi-objective Problems in Data Mining | Carlos Coello Coello (u. a.) | Taschenbuch | Studies in Computational Intelligence | xiv | Englisch | 2012 | Springer | EAN 9783642260537 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2012
ISBN 10: 3642260535 ISBN 13: 9783642260537
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objective swarm intelligence techniques in data mining, with the aim of motivating more researchers in evolutionary computation and machine learning to do research in this field. This volume consists of eleven chapters, including an introduction that provides the basic concepts of swarm intelligence techniques and a discussion of their use in data mining. Some of the research challenges that must be faced when using swarm intelligence techniques in data mining are also addressed. The rest of the chapters were contributed by leading researchers, and were organized according to the steps normally followed in Knowledge Discovery in Databases (KDD) (i.e., data preprocessing, data mining, and post processing).We hope that this book becomes a valuable reference for those wishing to do research on the use of multi-objective swarm intelligence techniques in data mining and knowledge discovery in databases.
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In den WarenkorbPaperback. Zustand: Brand New. 374 pages. 9.25x6.10x0.78 inches. In Stock.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents select proceedings of the International Conference on Natural Disaster: Risk Analysis, Management and Mitigation (NDRAMM 2024). It discusses recent challenges in disaster risk analysis and provides solutions to mitigate and minimize the damage caused by natural disasters. The book covers diverse topics including but not limited to seismic hazard analysis and its mitigation, tsunami-induced hazard, landslide and erosion-induced disaster mitigation, liquefaction mitigation, flood risk management, urban flood modelling and planning, early warning systems and Artificial Intelligence (AI) in natural hazards engineering. This book is a valuable resource for researchers and professionals interested in disaster-resilient construction and allied fields.
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In den WarenkorbHardcover. Zustand: Brand New. 374 pages. 9.25x6.10x0.88 inches. In Stock.
Sprache: Englisch
Verlag: Springer Nature Singapore, 2026
ISBN 10: 9819523583 ISBN 13: 9789819523580
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents select proceedings of the International Conference on Natural Disaster: Risk Analysis, Management and Mitigation (NDRAMM 2024). It discusses recent challenges in disaster risk analysis and provides solutions to mitigate and minimize the damage caused by natural disasters. The book covers diverse topics including but not limited to seismic hazard analysis and its mitigation, tsunami-induced hazard, landslide and erosion-induced disaster mitigation, liquefaction mitigation, flood risk management, urban flood modelling and planning, early warning systems and Artificial Intelligence (AI) in natural hazards engineering. This book is a valuable resource for researchers and professionals interested in disaster-resilient construction and allied fields.