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Scalable Processing of Spatial-Keyword Queries, Ahmed R. Mahmood, Walid G. Aref


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Автор: Ahmed R. Mahmood, Walid G. Aref
Название:  Scalable Processing of Spatial-Keyword Queries
ISBN: 9781681734897
Издательство: Mare Nostrum (Eurospan)
Классификация:




ISBN-10: 1681734893
Обложка/Формат: Hardcover
Страницы: 116
Вес: 0.42 кг.
Дата издания: 28.02.2019
Серия: Synthesis lectures on data management
Язык: English
Размер: 235 x 191 x 8
Ключевые слова: Computer science,Data capture & analysis,Databases,Information technology: general issues, COMPUTERS / Computer Science,COMPUTERS / Data Processing,COMPUTERS / Databases / General
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Поставляется из: Англии
Описание: Text data that is associated with location data has become ubiquitous. A tweet is an example of this type of data, where the text in a tweet is associated with the location where the tweet has been issued. We use the term spatial-keyword data to refer to this type of data. Spatial-keyword data is being generated at massive scale. Almost all online transactions have an associated spatial trace. The spatial trace is derived from GPS coordinates, IP addresses, or cell-phone-tower locations. Hundreds of millions or even billions of spatial keyword objects are being generated daily. Spatial-keyword data has numerous applications that require efficient processing and management of massive amounts of spatial-keyword data. This book starts by overviewing some important applications of spatial-keyword data, and demonstrates the scale at which spatial-keyword data is being generated. Then, it formalizes and classifies the various types of queries that execute over spatial-keyword data. Next, it discusses important and desirable properties of spatial-keyword query languages that are needed to express queries over spatial-keyword data. As will be illustrated, existing spatial-keyword query languages vary in the types of spatial-keyword queries that they can support. There are many systems that process spatial-keyword queries. Systems differ from each other in various aspects, e.g., whether the system is batch-oriented or stream-based, and whether the system is centralized or distributed. Moreover, spatial-keyword systems vary in the types of queries that they support. Finally, systems vary in the types of indexing techniques that they adopt. This book provides an overview of the main spatial-keyword data-management systems (SKDMSs), and classifies them according to their features. Moreover, the book describes the main approaches adopted when indexing spatial-keyword data in the centralized and distributed settings. Several case studies of {SKDMSs} are presented along with the applications and query types that these {SKDMSs} are targeted for and the indexing techniques they utilize for processing their queries. Optimizing the performance and the query processing of {SKDMSs} still has many research challenges and open problems. The book concludes with a discussion about several important and open research-problems in the domain of scalable spatial-keyword processing.


Scalable Processing of Spatial-Keyword Queries

Автор: Ahmed R. Mahmood, Walid G. Aref
Название: Scalable Processing of Spatial-Keyword Queries
ISBN: 1681734877 ISBN-13(EAN): 9781681734873
Издательство: Mare Nostrum (Eurospan)
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Цена: 7762.00 р.
Наличие на складе: Нет в наличии.

Описание: Text data that is associated with location data has become ubiquitous. A tweet is an example of this type of data, where the text in a tweet is associated with the location where the tweet has been issued. We use the term spatial-keyword data to refer to this type of data. Spatial-keyword data is being generated at massive scale. Almost all online transactions have an associated spatial trace. The spatial trace is derived from GPS coordinates, IP addresses, or cell-phone-tower locations. Hundreds of millions or even billions of spatial keyword objects are being generated daily. Spatial-keyword data has numerous applications that require efficient processing and management of massive amounts of spatial-keyword data. This book starts by overviewing some important applications of spatial-keyword data, and demonstrates the scale at which spatial-keyword data is being generated. Then, it formalizes and classifies the various types of queries that execute over spatial-keyword data. Next, it discusses important and desirable properties of spatial-keyword query languages that are needed to express queries over spatial-keyword data. As will be illustrated, existing spatial-keyword query languages vary in the types of spatial-keyword queries that they can support. There are many systems that process spatial-keyword queries. Systems differ from each other in various aspects, e.g., whether the system is batch-oriented or stream-based, and whether the system is centralized or distributed. Moreover, spatial-keyword systems vary in the types of queries that they support. Finally, systems vary in the types of indexing techniques that they adopt. This book provides an overview of the main spatial-keyword data-management systems (SKDMSs), and classifies them according to their features. Moreover, the book describes the main approaches adopted when indexing spatial-keyword data in the centralized and distributed settings. Several case studies of {SKDMSs} are presented along with the applications and query types that these {SKDMSs} are targeted for and the indexing techniques they utilize for processing their queries. Optimizing the performance and the query processing of {SKDMSs} still has many research challenges and open problems. The book concludes with a discussion about several important and open research-problems in the domain of scalable spatial-keyword processing.

Graph-Based Keyword Spotting

Автор: Michael Stauffer
Название: Graph-Based Keyword Spotting
ISBN: 9811206627 ISBN-13(EAN): 9789811206627
Издательство: World Scientific Publishing
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Цена: 15840.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document.

This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching.

Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.

Scalable Information Systems

Автор: Jason J. Jung; Costin Badica; Attila Kiss
Название: Scalable Information Systems
ISBN: 3319168673 ISBN-13(EAN): 9783319168678
Издательство: Springer
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Цена: 5590.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the thoroughly refereed post-conference proceedings of the International Conference on Scalable Information Systems, INFOSCALE 2014, held in September 2014 in Seoul, South Korea. The papers cover a wide range of topics such as scalable data analysis and big data applications.

Languages, Compilers and Run-Time Systems for Scalable Computers

Автор: Boleslaw K. Szymanski; Balaram Sinharoy
Название: Languages, Compilers and Run-Time Systems for Scalable Computers
ISBN: 0792396359 ISBN-13(EAN): 9780792396352
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This text contains 20 articles based on presentations given at the third workshop of the same title and 13 extended abstracts from the poster session. Each chapter provides a bibliography of relevant papers. The book can be used as a reference to recent research in parallel software engineering.


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