{ "item_title" : "Introduction to Privacy-Preserving Data Publishing", "item_author" : [" Benjamin C. M. Fung", "Ke Wang", "Ada Wai-Chee Fu "], "item_description" : "A gentle introduction for those new to the area, this book presents state-of-the-art information sharing and data integration methods that take into account privacy and data mining requirements. Real-life case studies illustrate the practical challenges of information sharing. The book addresses the privacy issues of relational, transaction, trajectory, social network, and textual data. The authors discuss the assumptions and desirable properties of privacy-preserving data publishing, evaluate various approaches to privacy-preserving data publishing, and explore the differences in privacy-preserving data publishing from related research areas. They also cover applications and future trends.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/36/738/375/0367383756_b.jpg", "price_data" : { "retail_price" : "91.99", "online_price" : "91.99", "our_price" : "91.99", "club_price" : "91.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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