By Charu C. Aggarwal
Advances in expertise have elevated the potential to shop and checklist own facts approximately shoppers and participants. This has brought on issues that non-public facts can be used for various intrusive or malicious purposes.
Privacy maintaining facts Mining: versions and Algorithms proposes a few concepts to accomplish the information mining projects in a privacy-preserving method. those ideas typically fall into the subsequent different types: information amendment strategies, cryptographic tools and protocols for info sharing, statistical suggestions for disclosure and inference keep watch over, question auditing tools, randomization and perturbation-based suggestions. This edited quantity additionally comprises surveys by means of uncommon researchers within the privateness box. each one survey contains the main examine content material in addition to destiny study instructions of a specific subject in privacy.
Privacy conserving info Mining: versions and Algorithms is designed for researchers, professors, and advanced-level scholars in computing device technology. This booklet can also be compatible for practitioners in industry.