Data mining: Are we advancing knowledge at the expense of diminishing individual's A review of the literature

Boyce, Helen (2006) Data mining: Are we advancing knowledge at the expense of diminishing individual's A review of the literature. BSc dissertation, University of Portsmouth.

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    This project's focus is a literature review investigating data mining techniques, their application, and impact on society. An overview of structured data mining techniques is followed by a review of unstructured tools and techniques. Unstructured techniques have been developed to find knowledge in the increasing amounts of unstructured data. Many domains are adopting applications incorporating structured and unstructured tools and techniques. Of particular interest are applications being developed for business, medicine, and the government. Examples of applications within these three domains are discussed, and various issues arising from their use considered. Common concerns include unethical practices, invasion of privacy, inference of data, and security factors. The ability of current legislation to protect individual's data is assessed. Finally, the adequacy of a range of solutions to the issues raised is discussed. Privacy Preserving Data Mining is considered one of the most promising, as it attempts to maximise the effectiveness of data mining whilst minimising privacy loss to the individual. It concludes that the loss of individual's rights is sometimes necessary in order to gain knowledge to benefit society. A balance between the loss of individual's rights, and the benefits gained from data mining can be achieved by applying a combination of legislative, technological, and economic solutions.

    Item Type: Dissertation
    Departments/Research Groups: Faculty of Technology > School of Computing
    Depositing User: Jane Polwin
    Date Deposited: 20 Jan 2011 12:47
    Last Modified: 28 Jan 2015 11:13

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