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Academic literature on the topic 'Індекс пошуковий'
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Journal articles on the topic "Індекс пошуковий"
Мельничук, Дмитро Петрович, Галина Андріївна Шпиталенко, Тетяна Михайлівна Тростенюк, and Любов Ігорівна Хом’як. "Міжнародна практика оцінювання якості життя населення літнього віку: систематизація та аналіз із позицій теорії соціальної держави." Економіка, управління та адміністрування, no. 4(94) (December 29, 2020): 110–16. http://dx.doi.org/10.26642/ema-2020-4(94)-110-116.
Full textМазепа, М. А., and І. В. Гавалко. "МЕТОДИ ОЦІНКИ ЯКОСТІ ЖИТТЯ ХВОРИХ НА СИСТЕМНИЙ ВОВЧАК." Art of Medicine, July 7, 2020, 137–43. http://dx.doi.org/10.21802/artm.2020.2.14.137.
Full textDissertations / Theses on the topic "Індекс пошуковий"
Тодоріко, Ольга Олексіївна. "Моделі та методи очищення та інтеграції текстових даних в інформаційних системах." Thesis, Запорізький національний університет, 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/21856.
Full textThe thesis for the candidate degree in technical sciences, speciality 05.13.06 – Information Technologies. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2016. In the thesis the actual scientific and practical problem of increasing the efficiency and quality of cleaning and integration of data in information reference system and information retrieval system is solved. The improvement of information technology of cleaning and integration of data is achieved by reduction of quantity of mistakes in text information by means of use of model of an inflectional paradigm, methods of creation of a lexeme index, advanced methods of tolerant retrieval. The developed model of an inflectional paradigm includes a representation of words as an ordered collection of signatures and an approximate measure of similarity between two representations. The model differs in method of dealing with forms of words and character positions. It provides the basis for the implementation of improved methods of tolerant retrieval, cleaning and integration of datasets. The method of creation of the lexeme index which is based on the offered model of an inflectional paradigm is developed, and it allows mapping a word and all its forms to a record of the index. The method of tolerant retrieval is improved at preliminary filtration stage thanks to the developed model of an inflectional paradigm and the lexeme index. The experimental efficiency evaluation indicates high precision and 99 0,5 % recall. The information technology of cleaning and integration of data is improved using the developed models and methods. The software which on the basis of the developed models and methods carries out tolerant retrieval, cleaning and integration of data sets was developed. Theoretical and practical results of the thesis are introduced in production of document flow of an entrance committee and educational process of mathematical faculty of the State institution of higher education "Zaporizhzhya National University".
Тодоріко, Ольга Олексіївна. "Моделі та методи очищення та інтеграції текстових даних в інформаційних системах." Thesis, НТУ "ХПІ", 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/21853.
Full textThe thesis for the candidate degree in technical sciences, speciality 05.13.06 – Information Technologies. – National Technical University «Kharkiv Polytechnic Institute», Kharkiv, 2016. In the thesis the actual scientific and practical problem of increasing the efficiency and quality of cleaning and integration of data in information reference system and information retrieval system is solved. The improvement of information technology of cleaning and integration of data is achieved by reduction of quantity of mistakes in text information by means of use of model of an inflectional paradigm, methods of creation of a lexeme index, advanced methods of tolerant retrieval. The developed model of an inflectional paradigm includes a representation of words as an ordered collection of signatures and an approximate measure of similarity between two representations. The model differs in method of dealing with forms of words and character positions. It provides the basis for the implementation of improved methods of tolerant retrieval, cleaning and integration of datasets. The method of creation of the lexeme index which is based on the offered model of an inflectional paradigm is developed, and it allows mapping a word and all its forms to a record of the index. The method of tolerant retrieval is improved at preliminary filtration stage thanks to the developed model of an inflectional paradigm and the lexeme index. The experimental efficiency evaluation indicates high precision and 99 0,5 % recall. The information technology of cleaning and integration of data is improved using the developed models and methods. The software which on the basis of the developed models and methods carries out tolerant retrieval, cleaning and integration of data sets was developed. Theoretical and practical results of the thesis are introduced in production of document flow of an entrance committee and educational process of mathematical faculty of the State institution of higher education «Zaporizhzhya National University».
Єременко, Артем Олександрович. "Розробка модулю пошуку з використанням Elasticsearch." Магістерська робота, 2020. https://dspace.znu.edu.ua/jspui/handle/12345/1531.
Full textUA : Робота викладена на 49 сторінках друкованого тексту, містить 11 рисунків, 13 джерел, 3 додатки. Об’єкт дослідження: процес пошуку інформації у Інтернет-магазині за заданим критерієм. Предмет дослідження: розробка потужного інструментарію здійснення пошуку на сайті. Мета роботи: програмна реалізація модулю пошуку інформації у Інтернет-магазині з використанням пошукової системи Elasticsearch засобами мови програмування PHP. Методи дослідження: порівняння, аналіз. Кваліфікаційна робота складається зі вступу, трьох розділів, висновків, списку використаних джерел. У першому розділі проведено огляд сучасних систем пошуку даних на сайті, виявлено найпотужніші з них та досліджено переваги бібліотеки Elasticsearch. У другому розділі розглянуто архітектуру пошукової системи Elasticsearch, способи досягнення релевантності запитів та спроектовано схему взаємодії з цією системою. Третій розділ присвячено програмній реалізації та графічному інтерфейсу користувача.
EN : The work is presented on 49 pages of printed text, 11 figures, 13 references, 3 supplements. The object of research is the process of finding information in an online store by a given criterion. The subject of research is the development of a powerful tool for performing search on the site. The aim of research is software implementation of the information retrieval module in the online store using Elasticsearch search engine using PHP programming language. The methods of research are comparison, analysis. Qualification thesis include an introduction, three sections, conclusions, references. The first section provides an overview of current data search systems on the site, identifies the most powerful of them, and explores the benefits of the Elasticsearch library. The second section looks the architecture of the Elasticsearch search engine, how to achieve query relevance, and outlines how it interacts with that system. The third section is dedicated to software implementation and graphical user interface.