Обработка решений судов Томской области и города Томска с помощью технологий OLAP и Data Mining; Технологии Microsoft в теории и практике программирования
| Parent link: | Технологии Microsoft в теории и практике программирования.— 2016.— [С. 67-69] |
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| Päätekijä: | |
| Yhteisötekijä: | |
| Muut tekijät: | , |
| Yhteenveto: | 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. |
| Kieli: | venäjä |
| Julkaistu: |
2016
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| Sarja: | Геоинформационные системы и технологии |
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| Linkit: | http://earchive.tpu.ru/handle/11683/33215 |
| Aineistotyyppi: | Elektroninen Kirjan osa |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=620885 |
| Yhteenveto: | 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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