Privacy Preserving Data Mining

Recent interest in data collection and monitoring using data mining for security and business-related applications has raised privacy. Privacy Preserving Data Mining (PPDM) techniques require data modification to disinfect them from sensitive information or to anonymize them at an uncertainty level. This study uses PPDM with adult dataset to investigate effects of K-anonymization for evaluation metrics. This study uses Artificial Bee Colony (ABC) algorithm for feature generalization and suppression where features are removed without affecting classification accuracy. Also k-anonymity is accomplished by original dataset generalization.

• Publication year

  2015

• Venue

  Advances in Information Security

• Publication date

  2015-03-15

• Fields of study

  Business, Computer Science

• Identifiers
  DOI 10.1007/978-0-387-29489-6
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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• Privacy preserving association rule mining in vertically partitioned data

  2006influential reference
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• A Framework for Evaluating Privacy Preserving Data Mining Algorithms*

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• General Survey.

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