Textual and Visual Information Retrieval Using Query Refinement and Pattern Analysis, Shaila S. G., Vadivel A.
Автор: S.G. Shaila; A Vadivel Название: Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis ISBN: 9811325588 ISBN-13(EAN): 9789811325588 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. The approach to TBIR is based on creating a thesaurus, as well as event classification and detection. N-gram thesaurus generation for query refinement offers a new method for improving the precision of retrieval, while event classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval applications. In turn, with regard to content based image retrieval (CBIR) the book presents a histogram construction method, which is based on human visual perceptions of color. The book’s overarching goal is to introduce readers to new ideas in an easy-to-follow manner.
Автор: Hughes Steven Название: Hands-On SQL Server 2019 Analysis Services: Design and query tabular and multi-dimensional models using Microsoft`s SQL Server Analysis Services ISBN: 1800204760 ISBN-13(EAN): 9781800204768 Издательство: Неизвестно Рейтинг: Цена: 67430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will expand your ability to deliver meaningful, performant solutions to your organization. You`ll learn how to use an analytical engine for decision making and business analytics. With the help of this practical guide, you`ll also be able to work confidently with data and analytics.
Автор: Li Yan Название: Handbook of Research on Innovative Database Query Processing Techniques ISBN: 1466687673 ISBN-13(EAN): 9781466687677 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 325250.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Focuses on database query processing methods, technologies, and applications. Aimed at providing an all-inclusive reference source of technologies and practices in advanced database query systems, this book investigates various techniques, including database and XML queries, spatiotemporal data queries, big data queries, metadata queries, and applications of database query systems.
Автор: Pennington Diane Название: Social Tagging for Linking Data Across Environments ISBN: 1783303387 ISBN-13(EAN): 9781783303380 Издательство: Facet Рейтинг: Цена: 109120.00 T Наличие на складе: Нет в наличии. Описание: This book, representing researchers and practitioners across different information professions, will explore how social tags can link content across a variety of environments.
Автор: Mathias Lux, Oge Marques Название: Visual Information Retrieval Using Java and LIRE ISBN: 1608459187 ISBN-13(EAN): 9781608459186 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 41580.00 T Наличие на складе: Невозможна поставка. Описание: The critical introduction to this Broadview Edition gives particular emphasis to Wells`s hostility towards religion as well as his thorough knowledge of the Darwinian thought of his time. Appendices provide passages from Darwin and Huxley related to Wells`s early writing; in addition, excerpts from other writers illustrate late-nineteenth-century anxieties about social degeneration.
Название: Data science & business analytics ISBN: 180043877X ISBN-13(EAN): 9781800438774 Издательство: Emerald Рейтинг: Цена: 98910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications.
Автор: Mike Thelwall Название: Word Association Thematic Analysis: A Social Media Text Exploration Strategy ISBN: 163639065X ISBN-13(EAN): 9781636390659 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 48050.00 T Наличие на складе: Нет в наличии. Описание: This book explains the word association thematic analysis method, with examples, and gives practical advice for using it. It is primarily intended for social media researchers and students, although the method is applicable to any collection of short texts.
Many research projects involve analyzing sets of texts from the social web or elsewhere to get insights into issues, opinions, interests, news discussions, or communication styles. For example, many studies have investigated reactions to Covid-19 social distancing restrictions, conspiracy theories, and anti-vaccine sentiment on social media. This book describes word association thematic analysis, a mixed methods strategy to identify themes within a collection of social web or other texts. It identifies these themes in the differences between subsets of the texts, including female vs. male vs. nonbinary, older vs. newer, country A vs. country B, positive vs. negative sentiment, high scoring vs. low scoring, or subtopic A vs. subtopic B. It can also be used to identify the differences between a topic-focused collection of texts and a reference collection.
The method starts by automatically finding words that are statistically significantly more common in one subset than another, then identifies the context of these words and groups them into themes. It is supported by the free Windows-based software Mozdeh for data collection or importing and for the quantitative analysis stages.
Автор: Diane Rasmussen Pennington, Louise Spiteri Название: Social Tagging in a Linked Data Environment ISBN: 1783303395 ISBN-13(EAN): 9781783303397 Издательство: Facet Рейтинг: Цена: 218240.00 T Наличие на складе: Невозможна поставка. Описание: This book, representing researchers and practitioners across different information professions, will explore how social tags can link content across a variety of environments.
Автор: Binxing Fang, Yan Jia Название: Information and Communication ISBN: 3110597845 ISBN-13(EAN): 9783110597844 Издательство: Walter de Gruyter Рейтинг: Цена: 107790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 3 of the set mainly focuses on the propagation models and evolution rules of information. Information retrieval and dissemination, topic discovery and evolution, algorithms of influence maximization are discussed in detail. It is an essential reference for scientist and professionals in computer science.
Автор: Binxing Fang, Yan Jia Название: Structure and Evolution ISBN: 3110596067 ISBN-13(EAN): 9783110596069 Издательство: Walter de Gruyter Рейтинг: Цена: 107790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 1 of the set mainly focuses on the structure characteristics, the modeling, and the evolution mechanism of social network analysis. Techniques and approaches for virtual community detection are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.
Автор: Mike Thelwall Название: Word Association Thematic Analysis: A Social Media Text Exploration Strategy ISBN: 1636390676 ISBN-13(EAN): 9781636390673 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 69300.00 T Наличие на складе: Нет в наличии. Описание: This book explains the word association thematic analysis method, with examples, and gives practical advice for using it. It is primarily intended for social media researchers and students, although the method is applicable to any collection of short texts.
Many research projects involve analyzing sets of texts from the social web or elsewhere to get insights into issues, opinions, interests, news discussions, or communication styles. For example, many studies have investigated reactions to Covid-19 social distancing restrictions, conspiracy theories, and anti-vaccine sentiment on social media. This book describes word association thematic analysis, a mixed methods strategy to identify themes within a collection of social web or other texts. It identifies these themes in the differences between subsets of the texts, including female vs. male vs. nonbinary, older vs. newer, country A vs. country B, positive vs. negative sentiment, high scoring vs. low scoring, or subtopic A vs. subtopic B. It can also be used to identify the differences between a topic-focused collection of texts and a reference collection.
The method starts by automatically finding words that are statistically significantly more common in one subset than another, then identifies the context of these words and groups them into themes. It is supported by the free Windows-based software Mozdeh for data collection or importing and for the quantitative analysis stages.
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