{"product_id":"9781441943712","title":"Privacy-Preserving Data Mining: Models and Algorithms","description":"Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes.    \u003cp\u003e Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and prools for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. \u003c\/p\u003e   \u003cp\u003e This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions. \u003c\/p\u003e   \u003cp\u003e Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners. \u003c\/p\u003e   \u003cp\u003e   \u003c\/p\u003e","brand":"Springer US","offers":[{"title":"Default Title","offer_id":46332690825457,"sku":"9781441943712","price":239.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781441943712_p0.jpg?v=1765361766","url":"https:\/\/shop.barnesandnoble.com\/products\/9781441943712","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}