k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
A data mining course for computer science: primary sources and implementations
Proceedings of the 37th SIGCSE technical symposium on Computer science education
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Undergraduate research experiences in data mining
Proceedings of the 39th SIGCSE technical symposium on Computer science education
Privacy Preserving Data Mining
Privacy Preserving Data Mining
Journal of Computing Sciences in Colleges
Lessons learned in the design of an undergraduate data mining course
Journal of Computing Sciences in Colleges
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In recent years, many universities have begun to integrate data mining into undergraduate elective offerings, and data management and data mining have evolved into important academic disciplines. Although many universities now offer undergraduate-level courses in data mining and several excellent texts are available, few courses or books focus on other critical data mining concerns such as ethics, security and privacy issues. This paper describes an initial course offering in which a privacy preserving data mining module focusing specifically on protecting privacy and the identity of the data owner was infused into an undergraduate data mining course.