- Tytuł:
- Queries classification using machine learning for implementation in intelligent manufacturing
- Autorzy:
-
Bortnikova, Viktoriia
Yevsieiev, Vladyslav
Botsman, Iryna
Nevliudov, Igor
Kolesnyk, Kostiantyn
Jaworski, Nazariy - Powiązania:
- https://bibliotekanauki.pl/chapters/32083877.pdf
- Data publikacji:
- 2021
- Wydawca:
- Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
- Tematy:
-
queries categorie
tokenization
syntactic and spelling checking
stemming - Opis:
- Today, information retrieval systems have plays an important role in intellectual manufacturing. Such systems would provide a speed with large volumes of data, system speed and etc. More roles in such system is search queries. The search queries are arrays of digital text information that can be big data, coming up to several hundred billion gigabytes or higher. In order to increase the speed of operation with such data in information retrieval systems, it is necessary to classify them. For task it is known: production section, 1000 search queries of arbitrary form and content and 5 search queries categories (error message, production section, the equipment state, sensors search, and system parameters). So here is the task lay down of the information retrieval systems speed increasing in manufacturing at the expense search queries classification by machine learning methods.
- Źródło:
-
Methods and tools in CAD – selected issues; 63-74
9788366391871 - Dostawca treści:
- Biblioteka Nauki
Artykuł