String Processing and Information Retrieval, Nieves R. Brisaboa; Simon J. Puglisi
Автор: Watrous, John (university Of Waterloo, Ontario) Название: The theory of quantum information ISBN: 1107180562 ISBN-13(EAN): 9781107180567 Издательство: Cambridge Academ Рейтинг: Цена: 11563.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.
Автор: Amihood Amir; Andrew Turpin; Alistair Moffat Название: String Processing and Information Retrieval ISBN: 3540890963 ISBN-13(EAN): 9783540890966 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 15th International Symposium on String Processing and Information Retrieval, SPIRE 2008, held in Melbourne, Australia, in November 2008. This book presents the papers that are organized in topical sections on compression and performance, information retrieval scoring and ranking, and self-indexing.
Автор: Jussi Karlgren; Jorma Tarhio; Heikki Hyyr? Название: String Processing and Information Retrieval ISBN: 3642037836 ISBN-13(EAN): 9783642037832 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers are organized in topical sections on algorithms on trees, compressed indexes, compression, indexing, content analysis, string algorithms and bioinformatics, string algorithms and theory, and using and understanding usage.
Автор: Inenaga Название: String Processing and Information Retrieval ISBN: 331946048X ISBN-13(EAN): 9783319460482 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 23rd International Symposium on String Processing and Information Retrieval, SPIRE 2016, held in Beppu, Japan, in October 2016.
Автор: Gabriele Fici; Marinella Sciortino; Rossano Ventur Название: String Processing and Information Retrieval ISBN: 3319674277 ISBN-13(EAN): 9783319674278 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 24th International Symposium on String Processing and Information Retrieval, SPIRE 2017, held in Palermo, Italy, in September 2017. They focus on fundamental studies on string processing and information retrieval, as well as on computational biology.
Автор: Edleno Moura; Maxime Crochemore Название: String Processing and Information Retrieval ISBN: 3319119176 ISBN-13(EAN): 9783319119175 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 21st International Symposium on String Processing and Information Retrieval, SPIRE 2014, held in Ouro Preto, Brazil, in October 2014.
Автор: Costas Iliopoulos; Simon Puglisi; Emine Yilmaz Название: String Processing and Information Retrieval ISBN: 3319238256 ISBN-13(EAN): 9783319238258 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 22nd International Symposium on String Processing and Information Retrieval, SPIRE 2015, held in London, UK, in September 2015.
Автор: Oren Kurland; Moshe Lewenstein; Ely Porat Название: String Processing and Information Retrieval ISBN: 3319024310 ISBN-13(EAN): 9783319024318 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 20th International Symposium on String Processing and Information Retrieval, SPIRE 2013, held in Jerusalem, Israel, in October 2013. The 18 full papers, 10 short papers were carefully reviewed and selected from 60 submissions.
Автор: Travis Gagie; Alistair Moffat; Gonzalo Navarro; Er Название: String Processing and Information Retrieval ISBN: 3030004783 ISBN-13(EAN): 9783030004781 Издательство: Springer Рейтинг: Цена: 9222.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 25th International Symposium on String Processing and Information Retrieval, SPIRE 2018, held in Lima, Peru, in October 2018. The 22 full papers and 6 short papers presented were carefully reviewed and selected from 51 submissions. They focus on fundamental studies on string processing and information retrieval, as well as on computational biology.
Описание: Karen Sparck Jones is one of the major figures of 20th century and early 21st Century computing and information processing.
Автор: Ilyas Ihab F., Chu Xu Название: Data Cleaning ISBN: 1450371531 ISBN-13(EAN): 9781450371537 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 9023.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions.
Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multiple surveys show that dirty data is the most common barrier faced by data scientists. Not surprisingly, developing effective and efficient data cleaning solutions is challenging and is rife with deep theoretical and engineering problems.
This book is about data cleaning, which is used to refer to all kinds of tasks and activities to detect and repair errors in the data. Rather than focus on a particular data cleaning task, we give an overview of the end-to-end data cleaning process, describing various error detection and repair methods, and attempt to anchor these proposals with multiple taxonomies and views. Specifically, we cover four of the most common and important data cleaning tasks, namely, outlier detection, data transformation, error repair (including imputing missing values), and data deduplication. Furthermore, due to the increasing popularity and applicability of machine learning techniques, we include a chapter that specifically explores how machine learning techniques are used for data cleaning, and how data cleaning is used to improve machine learning models.
This book is intended to serve as a useful reference for researchers and practitioners who are interested in the area of data quality and data cleaning. It can also be used as a textbook for a graduate course. Although we aim at covering state-of-the-art algorithms and techniques, we recognize that data cleaning is still an active field of research and therefore provide future directions of research whenever appropriate.
Автор: Ilyas Ihab F., Chu Xu Название: Data Cleaning ISBN: 1450371523 ISBN-13(EAN): 9781450371520 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11593.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions.
Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multiple surveys show that dirty data is the most common barrier faced by data scientists. Not surprisingly, developing effective and efficient data cleaning solutions is challenging and is rife with deep theoretical and engineering problems.
This book is about data cleaning, which is used to refer to all kinds of tasks and activities to detect and repair errors in the data. Rather than focus on a particular data cleaning task, we give an overview of the end-to-end data cleaning process, describing various error detection and repair methods, and attempt to anchor these proposals with multiple taxonomies and views. Specifically, we cover four of the most common and important data cleaning tasks, namely, outlier detection, data transformation, error repair (including imputing missing values), and data deduplication. Furthermore, due to the increasing popularity and applicability of machine learning techniques, we include a chapter that specifically explores how machine learning techniques are used for data cleaning, and how data cleaning is used to improve machine learning models.
This book is intended to serve as a useful reference for researchers and practitioners who are interested in the area of data quality and data cleaning. It can also be used as a textbook for a graduate course. Although we aim at covering state-of-the-art algorithms and techniques, we recognize that data cleaning is still an active field of research and therefore provide future directions of research whenever appropriate.
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