Обработка решений судов Томской области и города Томска с помощью технологий OLAP и Data Mining
| Parent link: | Технологии Microsoft в теории и практике программирования.— 2016.— [С. 67-69] |
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| المؤلف الرئيسي: | |
| مؤلف مشترك: | |
| مؤلفون آخرون: | , |
| الملخص: | Заглавие с титульного экрана The article is intended to analyze various data obtained from websites of regional and district Tomsk courts via advanced analytic technologies such as OLAP and Data Mining. The process of comparing structure open documents and their parsing using Python and NoSQL databases are considered in details.Near-duplicates and shingling, as well as regular expressions stand for analyzing and comparing texts, sentences and words. Due to these algorithms, the issue relating to extraction of necessary units can be sorted out effectively and quite accurately. |
| اللغة: | الروسية |
| منشور في: |
2016
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| سلاسل: | Геоинформационные системы и технологии |
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://earchive.tpu.ru/handle/11683/33215 |
| التنسيق: | الكتروني فصل الكتاب |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=620885 |
| الملخص: | Заглавие с титульного экрана The article is intended to analyze various data obtained from websites of regional and district Tomsk courts via advanced analytic technologies such as OLAP and Data Mining. The process of comparing structure open documents and their parsing using Python and NoSQL databases are considered in details.Near-duplicates and shingling, as well as regular expressions stand for analyzing and comparing texts, sentences and words. Due to these algorithms, the issue relating to extraction of necessary units can be sorted out effectively and quite accurately. |
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