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Data Mining Challenges in the Context of Data Retention

Data Mining Challenges in the Context of Data Retention
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Author(s): Konrad Stark (University of Vienna, Austria), Michael Ilger (Vienna University of Technology & University of Vienna, Austria) and Wilfried N. Gansterer (University of Vienna, Austria)
Copyright: 2010
Pages: 20
Source title: Data Mining in Public and Private Sectors: Organizational and Government Applications
Source Author(s)/Editor(s): Antti Syvajarvi (University of Lapland, Finland) and Jari Stenvall (Tampere University, Finland)
DOI: 10.4018/978-1-60566-906-9.ch008

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Abstract

Retaining electronic communication and internet traffic data imposes novel technical and organisational challenges for internet service providers as well as for government authorities. ISP companies are not only burdened by storing extraordinary amounts of data, but also must develop and adhere to data protection and data security policies in order to protect the data against unauthorised access or disclosure and against accidental destruction. The authors present distributed, horizontally partitioned data warehouse architecture for retaining data at each internet service provider separately. Moreover, they elaborate a data warehouse schema for storing e-mail data according to the European data retention directive which facilitate parameterised data retrieval. The authors show how their system allows for applying various types of data mining techniques to both internet access and communication data. Finally, they discuss issues related to data security, cost and performance, and reveal limitations of data retention systems.

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