Learning From Data Streams In Evolving Environments

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Learning from Data Streams in Evolving Environments

Moamar Sayed-Mouchaweh
Learning from Data Streams in Evolving Environments Book PDF

Author : Moamar Sayed-Mouchaweh
Publisher : Springer
Page : 317 pages
File Size : 51,7 Mb
Release : 2018-07-28
Category : Technology & Engineering
ISBN : 9783319898032

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Learning from Data Streams in Evolving Environments by Moamar Sayed-Mouchaweh Pdf

This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage, exploit and interpret data streams in non-stationary environments. The book includes the required notions, definitions, and background to understand the problem of learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain, discussing advanced aspects and concepts and presenting open problems and future challenges in this field. Provides multiple examples to facilitate the understanding data streams in non-stationary environments; Presents several application cases to show how the methods solve different real world problems; Discusses the links between methods to help stimulate new research and application directions.

Learning from Data Streams in Dynamic Environments

Moamar Sayed-Mouchaweh
Learning from Data Streams in Dynamic Environments Book PDF

Author : Moamar Sayed-Mouchaweh
Publisher : Springer
Page : 75 pages
File Size : 45,8 Mb
Release : 2015-12-10
Category : Technology & Engineering
ISBN : 9783319256672

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Learning from Data Streams in Dynamic Environments by Moamar Sayed-Mouchaweh Pdf

This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.

Machine Learning for Data Streams

Albert Bifet,Ricard Gavalda,Geoffrey Holmes,Bernhard Pfahringer
Machine Learning for Data Streams Book PDF

Author : Albert Bifet,Ricard Gavalda,Geoffrey Holmes,Bernhard Pfahringer
Publisher : MIT Press
Page : 289 pages
File Size : 45,9 Mb
Release : 2023-05-09
Category : Computers
ISBN : 9780262547833

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Machine Learning for Data Streams by Albert Bifet,Ricard Gavalda,Geoffrey Holmes,Bernhard Pfahringer Pdf

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.

Adaptive Stream Mining

Albert Bifet
Adaptive Stream Mining Book PDF

Author : Albert Bifet
Publisher : IOS Press
Page : 224 pages
File Size : 45,7 Mb
Release : 2010
Category : Computers
ISBN : 9781607500902

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Adaptive Stream Mining by Albert Bifet Pdf

This book is a significant contribution to the subject of mining time-changing data streams and addresses the design of learning algorithms for this purpose. It introduces new contributions on several different aspects of the problem, identifying research opportunities and increasing the scope for applications. It also includes an in-depth study of stream mining and a theoretical analysis of proposed methods and algorithms. The first section is concerned with the use of an adaptive sliding window algorithm (ADWIN). Since this has rigorous performance guarantees, using it in place of counters or accumulators, it offers the possibility of extending such guarantees to learning and mining algorithms not initially designed for drifting data. Testing with several methods, including Naïve Bayes, clustering, decision trees and ensemble methods, is discussed as well. The second part of the book describes a formal study of connected acyclic graphs, or 'trees', from the point of view of closure-based mining, presenting efficient algorithms for subtree testing and for mining ordered and unordered frequent closed trees. Lastly, a general methodology to identify closed patterns in a data stream is outlined. This is applied to develop an incremental method, a sliding-window based method, and a method that mines closed trees adaptively from data streams. These are used to introduce classification methods for tree data streams.

Learning in Non-Stationary Environments

Moamar Sayed-Mouchaweh,Edwin Lughofer
Learning in Non Stationary Environments Book PDF

Author : Moamar Sayed-Mouchaweh,Edwin Lughofer
Publisher : Springer Science & Business Media
Page : 439 pages
File Size : 54,7 Mb
Release : 2012-04-13
Category : Technology & Engineering
ISBN : 9781441980205

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Learning in Non-Stationary Environments by Moamar Sayed-Mouchaweh,Edwin Lughofer Pdf

Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.

Smart Embedded Systems

Arun Sinha,Abhishek Sharma,Luiz Alberto Pasini Melek,Daniele Caviglia
Smart Embedded Systems Book PDF

Author : Arun Sinha,Abhishek Sharma,Luiz Alberto Pasini Melek,Daniele Caviglia
Publisher : CRC Press
Page : 300 pages
File Size : 51,9 Mb
Release : 2023-12-01
Category : Technology & Engineering
ISBN : 9781003810261

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Smart Embedded Systems by Arun Sinha,Abhishek Sharma,Luiz Alberto Pasini Melek,Daniele Caviglia Pdf

"Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology. The book journeys through a wide range of topics from healthcare to energy management, autonomous robotics, and wireless communication, showcasing the transformative potential of intelligent embedded systems in these fields. This concise volume introduces readers to innovative techniques and their practical applications, offers a comparative analysis of wireless protocols, and provides efficient resource allocation strategies in IoT-based ecosystems. With real-world examples and in-depth case studies, it serves as an invaluable resource for students and professionals seeking to harness the power of embedded technology to shape our digital future. Salient Features: The book provides a comprehensive coverage of various aspects of smart embedded systems, exploring their design, implementation, optimization, and a range of applications. This is further enhanced by in-depth discussions on hardware and software optimizations aimed at improving overall system performance. A detailed examination of machine learning techniques specifically tailored for data analysis and prediction within embedded systems. This complements the exploration of cutting-edge research on the use of AI to enhance wireless communications. Real-world applications of these technologies are extensively discussed, with a focus on areas such as seizure detection, noise reduction, health monitoring, diabetic care, autonomous vehicles, and communication systems. This includes a deep-dive into different wireless protocols utilized for data transfer in IoT systems. This book highlights key IoT technologies and their myriad applications, extending from environmental data collection to health monitoring. This is underscored by case studies on the integration of AI and IoT in healthcare, spanning topics from anomaly detection to informed clinical decision-making. Also featured is a detailed evaluation and comparison of different system implementations and methodologies This book is an essential read for anyone interested in the field of embedded systems. Whether you're a student looking to broaden your knowledge base, researchers looking in-depth insights, or professionals planning to use this cutting-edge technology in real-world applications, this book offers a thorough grounding in the subject.

Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

Vinit Kumar Gunjan,Jacek M. Zurada
Proceedings of the 2nd International Conference on Recent Trends in Machine Learning IoT Smart Cities and Applications Book PDF

Author : Vinit Kumar Gunjan,Jacek M. Zurada
Publisher : Springer Nature
Page : 821 pages
File Size : 43,5 Mb
Release : 2022-01-10
Category : Technology & Engineering
ISBN : 9789811664076

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Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications by Vinit Kumar Gunjan,Jacek M. Zurada Pdf

This book contains original, peer-reviewed research articles from the Second International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, held in March 28-29th 2021 at CMR Institute of Technology, Hyderabad, Telangana India. It covers the latest research trends and developments in areas of machine learning, artificial intelligence, neural networks, cyber-physical systems, cybernetics, with emphasis on applications in smart cities, Internet of Things, practical data science and cognition. The book focuses on the comprehensive tenets of artificial intelligence, machine learning and deep learning to emphasize its use in modelling, identification, optimization, prediction, forecasting and control of future intelligent systems. Submissions were solicited of unpublished material, and present in-depth fundamental research contributions from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving a diverse range of problems in industries and its real-world applications.

Proceeding of 2022 International Conference on Wireless Communications, Networking and Applications (WCNA 2022)

Zhihong Qian,M.A. Jabbar,Simon K. S. Cheung,Xiaolong Li
Proceeding of 2022 International Conference on Wireless Communications Networking and Applications WCNA 2022 Book PDF

Author : Zhihong Qian,M.A. Jabbar,Simon K. S. Cheung,Xiaolong Li
Publisher : Springer Nature
Page : 849 pages
File Size : 50,8 Mb
Release : 2023-07-26
Category : Technology & Engineering
ISBN : 9789819939510

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Proceeding of 2022 International Conference on Wireless Communications, Networking and Applications (WCNA 2022) by Zhihong Qian,M.A. Jabbar,Simon K. S. Cheung,Xiaolong Li Pdf

This proceedings includes original, unpublished, peer-reviewed research papers from the International Conference on Wireless Communications, Networking and Applications (WCNA2022), held in Wuhan, Hubei, China, from December 16 to 18, 2022. The topics covered include but are not limited to wireless communications, networking and applications. The papers showcased here share the latest findings on methodologies, algorithms and applications in communication and network, making the book a valuable asset for professors, researchers, engineers, and university students alike.

ECML PKDD 2018 Workshops

Anna Monreale,Carlos Alzate,Michael Kamp,Yamuna Krishnamurthy,Daniel Paurat,Moamar Sayed-Mouchaweh,Albert Bifet,João Gama,Rita P. Ribeiro
ECML PKDD 2018 Workshops Book PDF

Author : Anna Monreale,Carlos Alzate,Michael Kamp,Yamuna Krishnamurthy,Daniel Paurat,Moamar Sayed-Mouchaweh,Albert Bifet,João Gama,Rita P. Ribeiro
Publisher : Springer
Page : 127 pages
File Size : 45,9 Mb
Release : 2019-03-07
Category : Computers
ISBN : 9783030148805

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ECML PKDD 2018 Workshops by Anna Monreale,Carlos Alzate,Michael Kamp,Yamuna Krishnamurthy,Daniel Paurat,Moamar Sayed-Mouchaweh,Albert Bifet,João Gama,Rita P. Ribeiro Pdf

This book constitutes revised selected papers from the workshops DMLE and IoTStream, held at the 18thEuropean Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, in Dublin, Ireland, in September 2018. The 8 full papers presented in this volume were carefully reviewed and selected from a total of 12 submissions. The workshops included are: DMLE 2018: First Workshop on Decentralized Machine Learning at the Edge IoTStream 2018: 3rd Workshop on IoT Large Scale Machine Learning from Data Streams

Sustained Simulation Performance 2019 and 2020

Michael M. Resch,Manuela Wossough,Wolfgang Bez,Erich Focht,Hiroaki Kobayashi
Sustained Simulation Performance 2019 and 2020 Book PDF

Author : Michael M. Resch,Manuela Wossough,Wolfgang Bez,Erich Focht,Hiroaki Kobayashi
Publisher : Springer Nature
Page : 187 pages
File Size : 47,8 Mb
Release : 2021-03-01
Category : Computers
ISBN : 9783030680497

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Sustained Simulation Performance 2019 and 2020 by Michael M. Resch,Manuela Wossough,Wolfgang Bez,Erich Focht,Hiroaki Kobayashi Pdf

This book presents the state of the art in High Performance Computing on modern supercomputer architectures. It addresses trends in hardware and software development in general. The contributions cover a broad range of topics, from performance evaluations in context with power efficiency to Computational Fluid Dynamics and High Performance Data Analytics. In addition, they explore new topics like the use of High Performance Computers in the field of Artificial Intelligence and Machine Learning. All contributions are based on selected papers presented at the 30th Workshop on Sustained Simulation Performance (WSSP) held at the High Performance Computing Center, University of Stuttgart, Germany in October 2019 and on the papers for the planned Workshop on Sustained Simulation Performance in March 2020, which could not take place due to the Covid-19 pandemic.

Data Driven Decision Making using Analytics

Parul Gandhi,Surbhi Bhatia,Kapal Dev
Data Driven Decision Making using Analytics Book PDF

Author : Parul Gandhi,Surbhi Bhatia,Kapal Dev
Publisher : CRC Press
Page : 135 pages
File Size : 52,6 Mb
Release : 2021-12-21
Category : Computers
ISBN : 9781000506495

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Data Driven Decision Making using Analytics by Parul Gandhi,Surbhi Bhatia,Kapal Dev Pdf

This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

Advances in Data Mining - Theoretical Aspects and Applications

Petra Perner
Advances in Data Mining Theoretical Aspects and Applications Book PDF

Author : Petra Perner
Publisher : Springer
Page : 356 pages
File Size : 47,7 Mb
Release : 2007-08-18
Category : Computers
ISBN : 9783540734352

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Advances in Data Mining - Theoretical Aspects and Applications by Petra Perner Pdf

The papers in this volume represent the proceedings of the 7th Industrial Conference on Data Mining. They are organized into topical sections on aspects of classification and prediction, clustering, web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Readers gain new insights into theories underlying data mining and discover state-of-the-technology applications.

Knowledge Discovery from Data Streams

Joao Gama
Knowledge Discovery from Data Streams Book PDF

Author : Joao Gama
Publisher : CRC Press
Page : 256 pages
File Size : 44,8 Mb
Release : 2010-05-25
Category : Business & Economics
ISBN : 9781439826126

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Knowledge Discovery from Data Streams by Joao Gama Pdf

Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents

Machine Learning and Knowledge Discovery in Databases

Paolo Frasconi,Niels Landwehr,Giuseppe Manco,Jilles Vreeken
Machine Learning and Knowledge Discovery in Databases Book PDF

Author : Paolo Frasconi,Niels Landwehr,Giuseppe Manco,Jilles Vreeken
Publisher : Springer
Page : 825 pages
File Size : 44,7 Mb
Release : 2016-09-03
Category : Computers
ISBN : 9783319462271

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Machine Learning and Knowledge Discovery in Databases by Paolo Frasconi,Niels Landwehr,Giuseppe Manco,Jilles Vreeken Pdf

The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

Emerging Trends in Intelligent Computing and Informatics

Faisal Saeed,Fathey Mohammed,Nadhmi Gazem
Emerging Trends in Intelligent Computing and Informatics Book PDF

Author : Faisal Saeed,Fathey Mohammed,Nadhmi Gazem
Publisher : Springer Nature
Page : 1188 pages
File Size : 54,7 Mb
Release : 2019-11-01
Category : Technology & Engineering
ISBN : 9783030335823

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Emerging Trends in Intelligent Computing and Informatics by Faisal Saeed,Fathey Mohammed,Nadhmi Gazem Pdf

This book presents the proceedings of the 4th International Conference of Reliable Information and Communication Technology 2019 (IRICT 2019), which was held in Pulai Springs Resort, Johor, Malaysia, on September 22–23, 2019. Featuring 109 papers, the book covers hot topics such as artificial intelligence and soft computing, data science and big data analytics, internet of things (IoT), intelligent communication systems, advances in information security, advances in information systems and software engineering.