Patterns Identification And Data Mining In Weather And Climate

Author : Abdelwaheb Hannachi
Publisher : Unknown
Page : 0 pages
File Size : 40,5 Mb
Release : 2021
Category : Electronic
ISBN : 3030670740

Get Book

Patterns Identification and Data Mining in Weather and Climate by Abdelwaheb Hannachi Pdf

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.

Author : Abdelwaheb Hannachi
Publisher : Springer Nature
Page : 600 pages
File Size : 44,9 Mb
Release : 2021-05-06
Category : Science
ISBN : 9783030670733

Get Book

Patterns Identification and Data Mining in Weather and Climate by Abdelwaheb Hannachi Pdf

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.

Author : Miguel Botto-Tobar
Publisher : Springer Nature
Page : 288 pages
File Size : 46,8 Mb
Release : 2024-06-25
Category : Electronic
ISBN : 9783031589539

Get Book

International Conference on Applied Technologies by Miguel Botto-Tobar Pdf

Author : Valliappa Lakshmanan,Eric Gilleland,Amy McGovern,Martin Tingley
Publisher : Springer
Page : 252 pages
File Size : 44,9 Mb
Release : 2015-06-30
Category : Science
ISBN : 9783319172200

Get Book

Machine Learning and Data Mining Approaches to Climate Science by Valliappa Lakshmanan,Eric Gilleland,Amy McGovern,Martin Tingley Pdf

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.

Author : Hujun Yin,Jose A.F. Costa,Guilherme Barreto
Publisher : Springer
Page : 882 pages
File Size : 45,8 Mb
Release : 2012-08-01
Category : Computers
ISBN : 9783642326394

Get Book

Intelligent Data Engineering and Automated Learning -- IDEAL 2012 by Hujun Yin,Jose A.F. Costa,Guilherme Barreto Pdf

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.

Author : Annalisa Appice,Michelangelo Ceci,Corrado Loglisci,Elio Masciari,Zbigniew W. Raś
Publisher : Springer
Page : 263 pages
File Size : 53,6 Mb
Release : 2017-07-01
Category : Computers
ISBN : 9783319614618

Get Book

New Frontiers in Mining Complex Patterns by Annalisa Appice,Michelangelo Ceci,Corrado Loglisci,Elio Masciari,Zbigniew W. Raś Pdf

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.

Author : Arun Lal Srivastav,Ashutosh Kumar Dubey,Abhishek Kumar,Sushil Kumar Narang,Moonis Ali Khan
Publisher : Elsevier
Page : 500 pages
File Size : 52,9 Mb
Release : 2022-11-11
Category : Science
ISBN : 9780323997157

Get Book

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence by Arun Lal Srivastav,Ashutosh Kumar Dubey,Abhishek Kumar,Sushil Kumar Narang,Moonis Ali Khan Pdf

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

Author : Valliappa Lakshmanan,Eric Gilleland,Amy McGovern,Martin Tingley
Publisher : Unknown
Page : 128 pages
File Size : 41,7 Mb
Release : 2015
Category : Electronic
ISBN : 3319172212

Get Book

Machine Learning and Data Mining Approaches to Climate Science by Valliappa Lakshmanan,Eric Gilleland,Amy McGovern,Martin Tingley Pdf

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.

Author : Gururaj H L,Pooja M R,Francesco Flammini
Publisher : CRC Press
Page : 365 pages
File Size : 47,6 Mb
Release : 2023-11-17
Category : Computers
ISBN : 9781003804031

Get Book

Recent Trends in Computational Sciences by Gururaj H L,Pooja M R,Francesco Flammini Pdf

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.

Author : Charu C. Aggarwal
Publisher : Springer
Page : 734 pages
File Size : 54,9 Mb
Release : 2015-04-13
Category : Computers
ISBN : 9783319141428

Get Book

Data Mining by Charu C. Aggarwal Pdf

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

Author : Robert Meersman,Tharam Dillon,Pilar Herrero
Publisher : Springer Science & Business Media
Page : 696 pages
File Size : 50,8 Mb
Release : 2011-11-09
Category : Computers
ISBN : 9783642251252

Get Book

On the Move to Meaningful Internet Systems: OTM 2011 Workshops by Robert Meersman,Tharam Dillon,Pilar Herrero Pdf

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.

Author : Abdallah Bari,Ardeshir B. Damania,Michael Mackay,Selvadurai Dayanandan
Publisher : CRC Press
Page : 349 pages
File Size : 46,6 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781315359991

Get Book

Applied Mathematics and Omics to Assess Crop Genetic Resources for Climate Change Adaptive Traits by Abdallah Bari,Ardeshir B. Damania,Michael Mackay,Selvadurai Dayanandan Pdf

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.

Author : Halimah Badioze Zaman,Peter Robinson,Alan Smeaton,Timothy K. Shih,Sergio Velastin,Azizah Jaafar,Mohamad Ali Nazlena
Publisher : Springer
Page : 526 pages
File Size : 53,6 Mb
Release : 2015-10-26
Category : Computers
ISBN : 9783319259390

Get Book

Advances in Visual Informatics by Halimah Badioze Zaman,Peter Robinson,Alan Smeaton,Timothy K. Shih,Sergio Velastin,Azizah Jaafar,Mohamad Ali Nazlena Pdf

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.

Author : Jorge Rocha
Publisher : BoD – Books on Demand
Page : 216 pages
File Size : 47,7 Mb
Release : 2017-09-13
Category : Computers
ISBN : 9789535135357

Get Book

Multi-agent Systems by Jorge Rocha Pdf

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.

Author : Devendra Kumar Sharma,Rohit Sharma,Gwanggil Jeon,Raghvendra Kumar
Publisher : Springer Nature
Page : 466 pages
File Size : 55,6 Mb
Release : 2024-01-03
Category : Computers
ISBN : 9783031460920

Get Book

Data Analytics for Smart Grids Applications—A Key to Smart City Development by Devendra Kumar Sharma,Rohit Sharma,Gwanggil Jeon,Raghvendra Kumar Pdf

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.