Uncertainty modeling for data mining, Qin, Zengchang Tang, Yongchuan
Автор: Foster Provost Название: Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking ISBN: 1449361323 ISBN-13(EAN): 9781449361327 Издательство: Wiley Рейтинг: Цена: 6334.00 р. Наличие на складе: Есть (1 шт.) Описание: This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.
Автор: David Nettleton Название: Commercial Data Mining ISBN: 0124166024 ISBN-13(EAN): 9780124166028 Издательство: Elsevier Science Рейтинг: Цена: 6230.00 р. Наличие на складе: Нет в наличии.
Описание: Helps you learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. This book guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.
Автор: Guangren Shi Название: Data Mining and Knowledge Discovery for Geoscientists ISBN: 0124104371 ISBN-13(EAN): 9780124104372 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. Наличие на складе: Нет в наличии.
Описание: Addresses challenges by summarizing the developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information. This title focuses on 22 of data mining`s practical algorithms and application samples.
Автор: Alexander Mehler; Kai-Uwe K?hnberger; Henning Lobi Название: Modeling, Learning, and Processing of Text-Technological Data Structures ISBN: 3642269443 ISBN-13(EAN): 9783642269448 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication.
Автор: Martin Atzmueller; Alvin Chin; Christoph Scholz; C Название: Mining, Modeling, and Recommending `Things` in Social Media ISBN: 3319147226 ISBN-13(EAN): 9783319147222 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed joint post-workshop proceedings of the 4th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2013, held in Prague, Czech Republic, in September 2013, and the 4th International Workshop on Modeling Social Media, MSM 2013, held in Paris, France, in May 2013.
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
Автор: Vladik Kreinovich Название: Uncertainty Modeling ISBN: 3319510517 ISBN-13(EAN): 9783319510514 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book commemorates the 65th birthday of Dr. Boris Kovalerchuk, and reflects many of the research areas covered by his work. It focuses on data processing under uncertainty, especially fuzzy data processing, when uncertainty comes from the imprecision of expert opinions. The book includes 17 authoritative contributions by leading experts.
Автор: Goran Rakocevic; Tijana Djukic; Nenad Filipovic; V Название: Computational Medicine in Data Mining and Modeling ISBN: 1461487846 ISBN-13(EAN): 9781461487845 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient`s medical records, image mining, medical mining, data mining and machine learning applied to generic genomic data and more.
Автор: С.Aggarwal Название: Data Mining: The Textbook ISBN: 3319141414 ISBN-13(EAN): 9783319141411 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Нет в наличии.
Описание: 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.
Автор: Goran Rakocevic; Tijana Djukic; Nenad Filipovic; V Название: Computational Medicine in Data Mining and Modeling ISBN: 1493948342 ISBN-13(EAN): 9781493948345 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient`s medical records, image mining, medical mining, data mining and machine learning applied to generic genomic data and more.
Описание: On various examples ranging from geosciences to environmental sciences, thisbook explains how to generate an adequate description of uncertainty, how to justifysemiheuristic algorithms for processing uncertainty, and how to make these algorithmsmore computationally efficient.
Автор: Brown Meta S. Название: Data Mining for Dummies ISBN: 1118893174 ISBN-13(EAN): 9781118893173 Издательство: Wiley Рейтинг: Цена: 5067.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
