Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Описание: This research book presents the use of computational intelligence paradigms in the bioprocess-related tasks of modeling, supervision, monitoring and control, diagnostic, learning and optimization. All have applications to a wide variety of other areas.
Автор: Kit Yan Chan; Yuk Shan Wong; Tharam S. Dillon Название: Computational Intelligence Techniques for New Product Design ISBN: 3642440673 ISBN-13(EAN): 9783642440670 Издательство: Springer Рейтинг: Цена: 22201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using computational intelligence in product design is a fast-growing and promising research area in computer sciences and industrial engineering. These assembled papers from the CIMA 2010 workshop cover the full spectrum of topics in this exciting field.
Автор: Shubhabrata Datta Название: Materials Design Using Computational Intelligence Techniques ISBN: 1482238322 ISBN-13(EAN): 9781482238327 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database.
Описание: This book details advanced methods for tuning finite element simulations to measured data. Case studies demonstrate the principles and test the viability of the approaches. Coverage also critically analyzes the state of the art in FEM updating.
Автор: P.V. Lakshmi; Wengang Zhou; P Satheesh Название: Computational Intelligence Techniques in Health Care ISBN: 9811003076 ISBN-13(EAN): 9789811003073 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presentsresearch on emerging computational intelligence techniques and tools, with aparticular focus on newtrends and applications in health care. Healthcare is a multi-faceted domain,which incorporates advanced decision-making, remote monitoring, healthcarelogistics, operational excellence and modern information systems.
Автор: Sasikumar Gurumoorthy; Naresh Babu Muppalaneni; Xi Название: Computational Intelligence Techniques in Diagnosis of Brain Diseases ISBN: 9811065284 ISBN-13(EAN): 9789811065286 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal.
Описание: This book details advanced methods for tuning finite element simulations to measured data. Case studies demonstrate the principles and test the viability of the approaches. Coverage also critically analyzes the state of the art in FEM updating.
Автор: Tanvir Islam; Prashant K. Srivastava; Manika Gupta Название: Computational Intelligence Techniques in Earth and Environmental Sciences ISBN: 940240239X ISBN-13(EAN): 9789402402391 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth.
Описание: This book constitutes the proceedings of the Third International Conference on Computational Intelligence, Cyber Security, and Computational Models, ICC3 2017, which was held in Coimbatore, India, in December 2017. They were organized in topical sections named: computational intelligence; and computational models.
Описание: Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine explores the complex world of computational intelligence, which utilizes computational methodologies such as fuzzy logic systems, neural networks, and evolutionary computation for the purpose of managing and using data effectively and addressing complicated real-world problems. This publication brings together various segments of computational intelligence and its applications in the worlds of business, engineering, and medicine.
Описание: World of Virtual Reality (VR) in Healthcare.- Towards a VIREAL Platform: Virtual Reality in Cognitive and Behavioural Training for Autistic Individuals.- Assisting Students To Understand Mathematical Graphs Using Virtual Reality Application.- Short Time Frequency Analysis of Theta Activity for the Diagnosis of Bruxism on EEG Sleep Record.- Hand Gesture Recognition for Human Computer Interaction and its Applications in Virtual Reality.- Fluid Dynamics in Healthcare Industries: Computational Intelligence Prospective.- A Novel Approach Towards using Big Data and IoT for Improving the Efficiency of m-Health Systems.- Using Artificial Intelligence to Bring Accurate Real-Time Simulation To Virtual Reality.- Application Of Chicken Swarm Optimization In Detection of Cancer and Virtual Reality.- Computational Fluid Dynamics Simulations with Applications in Virtual Reality Aided Health Care Diagnostics.- Data Analysis and Classification of Cardiovascular Disease and Risk Factors Associated With it in India.
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