Patterns Identification And Data Mining In Weather And Climate

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Patterns Identification and Data Mining in Weather and Climate

Author : Abdelwaheb Hannachi
Publisher : Springer Nature
ISBN 13 : 3030670732
Total Pages : 600 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Patterns Identification and Data Mining in Weather and Climate by : Abdelwaheb Hannachi

Download or read book Patterns Identification and Data Mining in Weather and Climate written by Abdelwaheb Hannachi and published by Springer Nature. This book was released on 2021-05-06 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets has gone through an extraordinary fast development, both in terms of new insights and the breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight in the field but has himself made several contributions to new developments in the last 15 years. - Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that weather and climate science is producing ever larger and richer data sets, the topic of pattern extraction and interpretation has become an essential part. This book provides an up to date overview of the latest techniques and developments in this area. - Maarten Ambaum, Department of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of ground, ranging from classical linear pattern identification techniques to more modern machine learning, illustrated with examples from weather & climate science. It will be very valuable both as a tutorial for graduate and postgraduate students and as a reference text for researchers and practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K.

International Conference on Applied Technologies

Author : Miguel Botto-Tobar
Publisher : Springer Nature
ISBN 13 : 303158953X
Total Pages : 288 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis International Conference on Applied Technologies by : Miguel Botto-Tobar

Download or read book International Conference on Applied Technologies written by Miguel Botto-Tobar and published by Springer Nature. This book was released on with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Data Mining Approaches to Climate Science

Author : Valliappa Lakshmanan
Publisher : Springer
ISBN 13 : 3319172204
Total Pages : 252 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Machine Learning and Data Mining Approaches to Climate Science by : Valliappa Lakshmanan

Download or read book Machine Learning and Data Mining Approaches to Climate Science written by Valliappa Lakshmanan and published by Springer. This book was released on 2015-06-30 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.

Intelligent Data Engineering and Automated Learning -- IDEAL 2012

Author : Hujun Yin
Publisher : Springer
ISBN 13 : 3642326390
Total Pages : 862 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning -- IDEAL 2012 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning -- IDEAL 2012 written by Hujun Yin and published by Springer. This book was released on 2012-08-01 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

New Frontiers in Mining Complex Patterns

Author : Annalisa Appice
Publisher : Springer
ISBN 13 : 3319614614
Total Pages : 263 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis New Frontiers in Mining Complex Patterns by : Annalisa Appice

Download or read book New Frontiers in Mining Complex Patterns written by Annalisa Appice and published by Springer. This book was released on 2017-07-01 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 5th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2016, held in conjunction with ECML-PKDD 2016 in Riva del Garda, Italy, in September 2016. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications.

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

Author : Arun Lal Srivastav
Publisher : Elsevier
ISBN 13 : 0323997155
Total Pages : 500 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence by : Arun Lal Srivastav

Download or read book Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence written by Arun Lal Srivastav and published by Elsevier. This book was released on 2022-11-11 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action. Includes case studies on the application of AI and machine learning for monitoring climate change effects and management Features applications of software and algorithms for modeling and forecasting climate change Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability

Recent Trends in Computational Sciences

Author : Gururaj H L
Publisher : CRC Press
ISBN 13 : 1003804039
Total Pages : 365 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Recent Trends in Computational Sciences by : Gururaj H L

Download or read book Recent Trends in Computational Sciences written by Gururaj H L and published by CRC Press. This book was released on 2023-11-17 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of research papers and presentations from the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023, Mysuru, India, 16-17 March 2023). The book covers a wide range of topics, including data mining, natural language processing, deep learning, computer vision, big data analytics, cryptography, smart contracts, decentralized applications, and blockchain-based solutions for various industries such as healthcare, finance, and supply chain management. The research papers presented in this book highlight the latest advancements and practical applications in data science, machine learning, and blockchain technology, and provide insights into the future direction of these fields. The book serves as a valuable resource for researchers, students, and professionals in the areas of data science, machine learning, and blockchain technology.

Machine Learning and Data Mining Approaches to Climate Science

Author : Valliappa Lakshmanan
Publisher :
ISBN 13 : 9783319172217
Total Pages : pages
Book Rating : 4.1/5 (722 download)

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Book Synopsis Machine Learning and Data Mining Approaches to Climate Science by : Valliappa Lakshmanan

Download or read book Machine Learning and Data Mining Approaches to Climate Science written by Valliappa Lakshmanan and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.

On the Move to Meaningful Internet Systems: OTM 2011 Workshops

Author : Robert Meersman
Publisher : Springer Science & Business Media
ISBN 13 : 3642251250
Total Pages : 696 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis On the Move to Meaningful Internet Systems: OTM 2011 Workshops by : Robert Meersman

Download or read book On the Move to Meaningful Internet Systems: OTM 2011 Workshops written by Robert Meersman and published by Springer Science & Business Media. This book was released on 2011-11-09 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of nine international workshops, EI2N+NSF ICE, ICSP, INBAST, ISDE, MONET, ORM, SeDeS, SWWS, and VADER 2011, held as part of OTM 2011 in Hersonissos on the island of Crete, Greece, in October 2011. The 64 revised full papers presented were carefully reviewed and selected from a total of 104 submissions. The volume also includes three papers from the On the Move Academy (OTMA) 2011 and five ODBASE 2011 poster papers. Topics of the workshop papers are enterprise integration and semantics, information centric engineering, interoperability, industrial and business applications of semantic Web applications, information systems in distributed environments, process management in distributed information system development, distributed information systems: implementation issues and applications, industrial applications of fact-oriented modeling, data warehouse modeling, extensions to fact-oriented modeling, model validation procedures, schema transformations and mapping, semantic Web and Web semantics, ontology development, deployment and interoperability, data access and efficient computation, efficient information processing, exchange and knowledge synthesis algorithms, mobile and networking technologies for social applications, semantic and decision support, variability in software architecture, and dynamic and adaptive architectures.

Data Mining

Author : Charu C. Aggarwal
Publisher : Springer
ISBN 13 : 3319141422
Total Pages : 734 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Data Mining by : Charu C. Aggarwal

Download or read book Data Mining written by Charu C. Aggarwal and published by Springer. This book was released on 2015-04-13 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete with theory and practical use cases. It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology "This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy. It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago

Advances in Visual Informatics

Author : Halimah Badioze Zaman
Publisher : Springer
ISBN 13 : 3319259393
Total Pages : 526 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Advances in Visual Informatics by : Halimah Badioze Zaman

Download or read book Advances in Visual Informatics written by Halimah Badioze Zaman and published by Springer. This book was released on 2015-10-26 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Fourth International Conference on Advances in Visual Informatics, IVIC 2015, held in Bangi, Malaysia, in November 2015. The five keynotes and 45 papers presented were carefully reviewed and selected from 82 initial submissions. The papers are organized in four tracks on visualization and big data; machine learning and computer vision; computer graphics; as well as virtual reality.

Applied Mathematics and Omics to Assess Crop Genetic Resources for Climate Change Adaptive Traits

Author : Abdallah Bari
Publisher : CRC Press
ISBN 13 : 1315359995
Total Pages : 349 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Applied Mathematics and Omics to Assess Crop Genetic Resources for Climate Change Adaptive Traits by : Abdallah Bari

Download or read book Applied Mathematics and Omics to Assess Crop Genetic Resources for Climate Change Adaptive Traits written by Abdallah Bari and published by CRC Press. This book was released on 2018-09-03 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Mathematics and Omics to Assess Crop Genetic Resources for Climate Change Adaptive Traits focuses on practical means and approaches to further the use of genetic resources for mitigating the effects of climate change and improving crop production. Genetic diversity in crop plants is being further explored to increase yield, disease resistance, and nutritional value by employing recent advances in mathematics and omics technologies to promote the adaptation of crops to changing climatic conditions. This book presents a broad view of biodiversity and genetic resources in agriculture and provides answers to some current problems. It also highlights ways to provide much-needed information to practitioners and innovators engaged in addressing the effects of global climate change on agriculture. The book is divided into sections that cover: The implications of climate change for drylands and farming communities The potential of genetic resources and biodiversity to adapt to and mitigate climate change effects Applications of mathematics and omics technologies Genomics and gene identification We are in the midst of significant changes in global climates, and its effects are already being felt throughout the world. The increasing frequency of droughts and heat waves has had negative impacts on agricultural production, especially in the drylands of the world. This book shares the collective knowledge of leading scientists and practitioners, giving readers a broader appreciation and heightened awareness of the stakes involved in improving and sustaining agricultural production systems in the face of climate change.

Multi-agent Systems

Author : Jorge Rocha
Publisher : BoD – Books on Demand
ISBN 13 : 953513535X
Total Pages : 216 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Multi-agent Systems by : Jorge Rocha

Download or read book Multi-agent Systems written by Jorge Rocha and published by BoD – Books on Demand. This book was released on 2017-09-13 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-agent system (MAS) is an expanding field in science and engineering. It merges classical fields like game theory with modern ones like machine learning and computer science. This book provides a succinct introduction to the subject, covering the theoretical fundamentals as well as the latter developments in a coherent and clear manner. The book is centred on practical applications rather than introductory topics. Although it occasionally makes reference to the concepts involved, it will do so primarily to clarify real-world applications. The inner chapters cover a wide spectrum of issues related to MAS uses, which include collision avoidance, automotive applications, evacuation simulation, emergence analyses, cooperative control, context awareness, data (image) mining, resilience enhancement and the management of a single-user multi-robot.

E Governance Data Center, Data Warehousing and Data Mining

Author : Sonali Agarwal
Publisher : CRC Press
ISBN 13 : 1000819450
Total Pages : 236 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis E Governance Data Center, Data Warehousing and Data Mining by : Sonali Agarwal

Download or read book E Governance Data Center, Data Warehousing and Data Mining written by Sonali Agarwal and published by CRC Press. This book was released on 2022-09-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book attempts to disseminate information about several E Governance projects and possible Data Mining benefits which are the future of good governance in India.

Data Analytics for Smart Grids Applications—A Key to Smart City Development

Author : Devendra Kumar Sharma
Publisher : Springer Nature
ISBN 13 : 3031460928
Total Pages : 466 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Data Analytics for Smart Grids Applications—A Key to Smart City Development by : Devendra Kumar Sharma

Download or read book Data Analytics for Smart Grids Applications—A Key to Smart City Development written by Devendra Kumar Sharma and published by Springer Nature. This book was released on 2024-01-03 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.

Computational Methods for Agricultural Research: Advances and Applications

Author : do Prado, Hrcules Antonio
Publisher : IGI Global
ISBN 13 : 1616928735
Total Pages : 524 pages
Book Rating : 4.6/5 (169 download)

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Book Synopsis Computational Methods for Agricultural Research: Advances and Applications by : do Prado, Hrcules Antonio

Download or read book Computational Methods for Agricultural Research: Advances and Applications written by do Prado, Hrcules Antonio and published by IGI Global. This book was released on 2010-10-31 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book brings computing solutions to ancient practices and modern concerns, sowing the seeds for a sustainable, constant food supply, utilizing cutting-edge computational techniques"--Provided by publisher.

Computational Discovery of Scientific Knowledge

Author : Saso Dzeroski
Publisher : Springer
ISBN 13 : 3540739203
Total Pages : 327 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Discovery of Scientific Knowledge by : Saso Dzeroski

Download or read book Computational Discovery of Scientific Knowledge written by Saso Dzeroski and published by Springer. This book was released on 2007-08-24 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This survey provides an introduction to computational approaches to the discovery of communicable scientific knowledge and details recent advances. It is partly inspired by the contributions of the International Symposium on Computational Discovery of Communicable Knowledge, held in Stanford, CA, USA in March 2001, a number of additional invited contributions provide coverage of recent research in computational discovery.