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Association Rule Mining in XML Database.
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Sasikala Duraisamy and Premalatha Kandasamy
ISBN: 9786202072427
Год издания: 2018
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 56
Издательство: LAP LAMBERT Academic Publishing
Цена: 21130 тг
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Аннотация: Data mining is a process of extracting hidden information from large databases. It is a powerful technology that helps to analyze the important information present in the databases. Association Rule Mining (ARM) is a research field in data mining that extracts frequent patterns of items in the transaction databases. In order to select interesting rules from the set of all possible rules, various measures are used. The two basic interestingness measures in ARM are support and confidence. In addition to market basket analysis association rules are applied in the areas including web usage mining, intrusion detection, and bioinformatics.
Ключевые слова: Association Rule Mining, Information Retrieval, XML, Index table method, Structure Mining, Content Mining
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