Автор: Witten, Ian H. Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed. ISBN: 0128042915 ISBN-13(EAN): 9780128042915 Издательство: Elsevier Science Рейтинг: Цена: 61750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
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: Dalianis Название: Clinical Text Mining ISBN: 3319785028 ISBN-13(EAN): 9783319785028 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters.The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.
Автор: Cerrito Patricia, Cerrito John Название: Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis ISBN: 1615209050 ISBN-13(EAN): 9781615209057 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 240320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Demonstrates how concern for detail in datasets and the use of data mining techniques can extract important and meaningful knowledge from healthcare databases. Basic information on processing data with step-by-step instructions is provided, allowing readers to use their own data and follow the instructions to find meaningful results.
Автор: Cerrito Patricia Название: Cases on Health Outcomes and Clinical Data Mining: Studies and Frameworks ISBN: 1615207236 ISBN-13(EAN): 9781615207237 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 240320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides case studies developed by faculty and graduates of the University of Louisville`s PhD program in Applied and Industrial Mathematics. The studies use non-traditional, exploratory data analysis and data mining tools to examine health outcomes, finding patterns and trends in observational data. It is ideal for the next generation of data mining practitioners.
Автор: Silge Julia Phd, Robinson David Phd Название: Text Mining with R: A Tidy Approach ISBN: 1491981652 ISBN-13(EAN): 9781491981658 Издательство: Wiley Рейтинг: Цена: 33780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem.
Автор: Kwartler Название: Text Mining in Practice with R ISBN: 1119282012 ISBN-13(EAN): 9781119282013 Издательство: Wiley Рейтинг: Цена: 58030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information.
Автор: Charu C. Aggarwal; ChengXiang Zhai Название: Mining Text Data ISBN: 148998920X ISBN-13(EAN): 9781489989208 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining.
Автор: Chris Biemann; Alexander Mehler Название: Text Mining ISBN: 3319126547 ISBN-13(EAN): 9783319126548 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP).
Название: Survey of text mining ISBN: 1441930574 ISBN-13(EAN): 9781441930576 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Chris Biemann; Alexander Mehler Название: Text Mining ISBN: 3319359304 ISBN-13(EAN): 9783319359304 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP).
Автор: Anne Kao; Steve R. Poteet Название: Natural Language Processing and Text Mining ISBN: 1849965587 ISBN-13(EAN): 9781849965583 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP.
Автор: Michael W. Berry; Malu Castellanos Название: Survey of Text Mining II ISBN: 184996713X ISBN-13(EAN): 9781849967136 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This Second Edition explores the field of text mining. Coverage includes the use of machine learning in conjunction with natural language processing, information extraction, and algebraic/mathematical approaches to computational information retrieval.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
