Sequence Association Rule with Pattern Constraints in Web Usage Mining Год выпуска: 2011Автор: V. Valli Mayil SingaraveluИздательство: LAP Lambert Academic PublishingСтраниц: 152ISBN: 9783846552674Описание Sequence Association rule prediction is one of the most important activity in web usage mining. In this dissertation work the data in web log files are preprocessed. The irrelevant data (images and intermediate) in the log files are removed for further processing. The processed data is then analyzed for user and session identification. Finally the data in the form of session sequences are analyzed to find the frequent pattern. The pattern is then considered for the rule prediction.
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Александр С добрым, великолепным, вас утром, Дорогая Марина Михайловна! Извините за такую фамильярность. Но не могу сдержать эмоции. Ознакомился с содержимым диплома и наполнился прям какой-то уверенностью, которой у меня небыло всё последнее время. Я даже пытался сам что-то писать. Но совершенно в этом не приуспел. Поэтому сейчас так рад, что петь хочется.Спасибо вам! Огромное спасибо за помощь! За вашу Честность и порядочность! С Уважением!
