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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Vectorizing textual data sources to decrease attribute space dimensionстатья
- Авторы: Rozhnov A.V., Melikhov A.A.
- Сборник: Proceedings of 2018 11th International Conference "Management of large-scale system development". MLSD 2017
- Год издания: 2017
- Издательство: Institute of Electrical and Electronics Engineers
- Местоположение издательства: Piscataway, NJ, United States
- DOI: 10.1109/mlsd.2017.8109662
- 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.
- Добавил в систему: Рожнов Алексей Владимирович