Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
Extracting useful and relevant information from the massive amount of data by web users becomes a challenging task. This work regarding applications based on the use of Web Usage Mining (WUM). Clickstream, transaction data, and user profile data represent various sources of web usage data. Preprocessing is an essential process in WUM for understanding the user's life as a whole within a session on a website. It signifies the aggregation of consequent series of page views executed by a singular user traversing through a website. Therefore, it represents a critical task that involves converting raw web log data to obtain a suitable pattern for efficient analysis. The importance of these processes relies on the complex nature of web architecture, and it takes almost 80% of the mining process. This work introduces a complete framework for data preprocessing with a comprehensive demonstration of a real dataset.
Язык оригинала | английский |
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Название основной публикации | 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020 |
Издатель | Institute of Electrical and Electronics Engineers Inc. |
ISBN (электронное издание) | 9781728169514 |
DOI | |
Состояние | Опубликовано - 6 окт 2020 |
Событие | 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020 - Vladivostok, Российская Федерация Продолжительность: 6 окт 2020 → 9 окт 2020 |
Название | 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020 |
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конференция | 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020 |
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Страна/Tерритория | Российская Федерация |
Город | Vladivostok |
Период | 6/10/20 → 9/10/20 |
ID: 72796541