Data Preparation for User Profiling from Traffic Log

KUMPOŠT, Marek. Data Preparation for User Profiling from Traffic Log. In Proceedings of The International Conference on Emerging Security Information, Systems, and Technologies (SECURWARE 2007). Los Alamitos, CA, USA: IEEE Computer Society, 2007, s. 89-94. ISBN 0-7695-2989-5.

Základní údaje

• Originální název: Data Preparation for User Profiling from Traffic Log
• Název česky: Příprava dat pro profilování
• Autoři: KUMPOŠT, Marek (203 Česká republika, garant).
• Vydání: Los Alamitos, CA, USA, Proceedings of The International Conference on Emerging Security Information, Systems, and Technologies (SECURWARE 2007), od s. 89-94, 6 s. 2007.
• Nakladatel: IEEE Computer Society

Další údaje

• Originální jazyk: angličtina
• Typ výsledku: Stať ve sborníku
• Obor: 10201 Computer sciences, information science, bioinformatics
• Stát vydavatele: Česká republika
• Utajení: není předmětem státního či obchodního tajemství
• Kód RIV: RIV/00216224:14330/07:00032428
• Organizační jednotka: Fakulta informatiky
• ISBN: 0-7695-2989-5
• Klíčová slova anglicky: user profiling; data mining; traffic log; privacy protection; user profiles
• Štítky: data mining, privacy protection, traffic log, user profiles, user profiling
• Příznaky: Mezinárodní význam, Recenzováno

Anotace

User profiling is a technique that services use to provide customizable content to their users. These services operate with a user profile that reflects users' behaviour in the past. Profiling gives us some evidence about users' behaviour (information about their interests and social background). Instead of requiring users to state their interests, a service could learn this information from users' past activities. The main question is how much private information can be derived from context information that is related to an individual. The second question is to what extent a behaviour pattern can be used to pinpoint an individual among others.

Anotace česky

User profiling is a technique that services use to provide customizable content to their users. These services operate with a user profile that reflects users' behaviour in the past. Profiling gives us some evidence about users' behaviour (information about their interests and social background). Instead of requiring users to state their interests, a service could learn this information from users' past activities. The main question is how much private information can be derived from context information that is related to an individual. The second question is to what extent a behaviour pattern can be used to pinpoint an individual among others.