Method and system for building a Naive Bayes classifier from privacy-preserving data
Patent 6694303 Issued on February 17, 2004. Estimated Expiration Date: 
January 19, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
January 19, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesMethod for refining the initial conditions for clustering with applications to small and large database clustering Generating a model for raw variables from a model for cooked variables Method and system for building a decision-tree classifier from privacy-preserving data Patent #: 6546389 InventorsApplicationNo. 09/487697 filed on 01/19/2000US Classes:706/52, Reasoning under uncertainty (e.g., fuzzy logic)706/11, HAVING PARTICULAR USER INTERFACE706/46Knowledge representation and reasoning techniqueExaminersPrimary: Patel, RameshAssistant: Hirl, Joseph P. Attorney, Agent or FirmInternational ClassG06Q 30/00 (20060101)AbstractA system and method for mining data while preserving a user's privacy includes perturbing user-related information at the user's computer and sending the perturbed data to a Web site. At the Web site, perturbed data from many users is aggregated, and from the distribution of the perturbed data, the distribution of the original data is reconstructed, although individual records cannot be reconstructed. Based on the reconstructed distribution, a decision tree classification model or a Naive Bayes classification model is developed, with the model then being provided back to the users, who can use the model on their individual data to generate classifications that are then sent back to the Web site such that the Web site can display a page appropriately configured for the user's classification. Or, the classification model need not be provided to users, but the Web site can use the model to, e.g., send search results and a ranking model to a user, with the ranking model being used at the user computer to rank the search results based on the user's individual classification data.Other References
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