Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
Webユーザー識別は、シーケンシャルパターンマイニングと行動心理学の境界における研究のホットトピックです。
ここでは、ユーザーがアクセスしたWebページのシーケンスを追跡することで、インターネット上のユーザーを特定しようとします。構築するアルゴリズムは、ウェブページセッション（同じ人物が連続してアクセスしたウェブページのシーケンス）を受け取り、それがアリスのものか、それ以外の誰かのものかを予測します。
このデータは[オープンデータサイエンス][1]から分岐したもので、ブレーズ・パスカル大学のプロキシサーバーから取得されています。ジャコモ・カーン、ヤニック・ロイソー、オリヴィエ・レノーの論文「シーケンシャルデータの分類ツール」。
[1]: https://www.kaggle.com/c/catch-me-if-you-can-intruder-detection-through-webpage-session-tracking
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
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