44945

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Vectorizing textual data sources to decrease attribute space dimension

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-5386-0799-2

DOI: 

10.1109/MLSD.2017.8109662

Наименование источника: 

  • Proceedings of the 10th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2017

Страницы: 

http://ieeexplore.ieee.org/document/8109662/
Аннотация
The main focus is given to the problem of search optimization. A new index formation method, based on attribute space is proposed. The amount of stored index is reduced by transforming metadata produced by syntax parser to a set of predefined templates with known parameters. The discussion regards issues of practical implementation related to error correction.

Библиографическая ссылка: 

Мелихов А.А., Рожнов А.В. Vectorizing textual data sources to decrease attribute space dimension // Proceedings of the 10th International Conference "Management of Large-Scale System Development" (MLSD). 2017. С. http://ieeexplore.ieee.org/document/8109662/.