Improved Score Function on Privacy-preserving Distributed MiningLV Pin1,YU Wen-bing2 (1.School of Computer Science and Engineering,Wuhan Institute of Technology,Wuhan 430073,China;2.School of Sciences,Wuhan Institute of Technology,Wuhan 430073,China)The purpose of privacy preservation was to discover accurate patterns without precise access to the original data.For example,the result of breast-cancer could be obtained according to diseases data.The paper researched the score function of K2 Algorithm for constructing the Bayesian Networks in the distributed settings,and improved the score function based on the two-party computation of the cryptographic preliminaries.It could generate the same structures whether original score function or improved score function by the theory analysis and experimental results.The purpose of privacy preserving was reached on vertically partitioned data.privacy-preserving data mining;bayesian networks;score function