How Long to Read Scalable Processing of Spatial-Keyword Queries

How Long Does it Take to Read Scalable Processing of Spatial-Keyword Queries?

It takes the average reader 1 hour and 58 minutes to read Scalable Processing of Spatial-Keyword Queries by Ahmed R. Mahmood

Assuming a reading speed of 250 words per minute. Learn more

Description

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.

How long is Scalable Processing of Spatial-Keyword Queries?

Scalable Processing of Spatial-Keyword Queries by Ahmed R. Mahmood is 116 pages long, and a total of 29,696 words.

This makes it 39% the length of the average book. It also has 36% more words than the average book.

How Long Does it Take to Read Scalable Processing of Spatial-Keyword Queries Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 42 minutes to read Scalable Processing of Spatial-Keyword Queries aloud.

What Reading Level is Scalable Processing of Spatial-Keyword Queries?

Scalable Processing of Spatial-Keyword Queries is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Scalable Processing of Spatial-Keyword Queries?

Scalable Processing of Spatial-Keyword Queries by Ahmed R. Mahmood is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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