logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Compressed Data Structures For Strings On Searching And Extracting Strings From Compressed Textual Data 1st Edition Rossano Venturini Auth

  • SKU: BELL-4415628
Compressed Data Structures For Strings On Searching And Extracting Strings From Compressed Textual Data 1st Edition Rossano Venturini Auth
$ 31.00 $ 45.00 (-31%)

4.1

20 reviews

Compressed Data Structures For Strings On Searching And Extracting Strings From Compressed Textual Data 1st Edition Rossano Venturini Auth instant download after payment.

Publisher: Atlantis Press
File Extension: PDF
File size: 1.94 MB
Pages: 118
Author: Rossano Venturini (auth.)
ISBN: 9789462390324, 9789462390331, 9462390320, 9462390339
Language: English
Year: 2014
Edition: 1

Product desciption

Compressed Data Structures For Strings On Searching And Extracting Strings From Compressed Textual Data 1st Edition Rossano Venturini Auth by Rossano Venturini (auth.) 9789462390324, 9789462390331, 9462390320, 9462390339 instant download after payment.

Data compression is mandatory to manage massive datasets, indexing is fundamental to query them. However, their goals appear as counterposed: the former aims at minimizing data redundancies, whereas the latter augments the dataset with auxiliary information to speed up the query resolution. In this monograph we introduce solutions that overcome this dichotomy. We start by presenting the use of optimization techniques to improve the compression of classical data compression algorithms, then we move to the design of compressed data structures providing fast random access or efficient pattern matching queries on the compressed dataset. These theoretical studies are supported by experimental evidences of their impact in practical scenarios.

Related Products