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 book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings.
Описание: This Pivot updates the ideas of the famous political philosopher from the Italian Renaissance, Machiavelli, for the 21st century, using case studies from the West and from Kazakhstan to demonstrate the utility of Machiavelli's ideas for contemporary political life. In truth, Machiavelli's ideas have never lost their value. Although 'Machiavellian' as an adjective tends to describe amoral cynicism in contemporary usage, Machiavelli's ideas were deeply ethical and oriented towards achieving long-term goals. Contemporary readers may be put off by medieval language and examples, misled into believing Machiavelli speaks to a different age; and yet the author here explores how Machiavellian strategy can be of value— ethical as well as practical—in the 21st century.
Описание: This book presents established and state-of-the-art methods in Language Technology (including text mining, corpus linguistics, computational linguistics, and natural language processing), and demonstrates how they can be applied by humanities scholars working with textual data.
Описание: This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings.
Автор: Arthur Kordon Название: Applying Computational Intelligence ISBN: 3642424260 ISBN-13(EAN): 9783642424267 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Tracking and applying the latest techniques in computational intelligence is a major challenge, as they often prove their value before the underlying theories are fully understood. This book shows how to create value from computational intelligence methods.
Описание: As a first step towards applying Enterprise Architecture Management (EAM) in Mergers and Acquisitions (M&A), Andreas Freitag investigates the end-to-end applicability of business capabilities in the M&A process of a corporate buyer organization.
Автор: Terry D. Clark; Jennifer M. Larson; John N. Mordes Название: Applying Fuzzy Mathematics to Formal Models in Comparative Politics ISBN: 3642096123 ISBN-13(EAN): 9783642096129 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the intersection of fuzzy mathematics and the spatial modeling of preferences in political science.
Автор: Pascal Matsakis; Les M. Sztandera Название: Applying Soft Computing in Defining Spatial Relations ISBN: 3662002949 ISBN-13(EAN): 9783662002940 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Studying the biological systems and applying the findings to the structure of computational vision models and artificial vision systems aims to be an essential approach of advancing the field of machine vision. This title provides interdisciplinary research which evaluates the performance of machine visual models and systems in comparison to biological systems.
Автор: Andreas Meier; Edy Portmann; Luis Ter?n Название: Applying Fuzzy Logic for the Digital Economy and Society ISBN: 3030033678 ISBN-13(EAN): 9783030033675 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others. Presenting the latest research, with a strong focus on applications and case studies, it is a valuable resource for researchers, practitioners, project leaders and managers wanting to apply or improve their fuzzy-based skills.
Описание: Deals with the issue of problematic market price prediction in the context of crowd behaviour affected by the psychology of the masses. This title highlights the contrast between a phenomenon of mass psychology and the efficient market hypothesis, which is essentially based on a common economic theory.
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