Abstract
A name disambiguation method is proposed based on attribute match and link analysis applying in the field of insurance. Aiming at the former name disambiguation methods such as text clustering method needs to be considered in a lot of useless words, a new name disambiguation method is advanced. Firstly, the same attribute matching is applied, merging the identity of a successful match, secondly, the link analysis is used, structural analysis of customers network is analyzed, Finally, the same cooperating information is merged. Experiment results show that the proposed method can realize name disambiguation successfully.
Highlights
Data Mining [1] is searching large amounts of data, reveals the hidden laws in it, and further models it to the advanced and effective method according to the established business objectives
A name disambiguation method is proposed based on attribute match and link analysis applying in the field of insurance
A new name disambiguation method is proposed in this paper, the method concludes three procedures: Firstly, the attribute match can be done, the attribute math algorism is used to calculate the similarity between the customers; the link analysis is followed, using the relationships between the customers to recognize the customer disambiguation problem
Summary
Data Mining [1] is searching large amounts of data, reveals the hidden laws in it, and further models it to the advanced and effective method according to the established business objectives. It is the process of extracting the potentially useful information and knowledge in a lot of not complete, noisy, fuzzy, random data. A new name disambiguation method is proposed in this paper, the method concludes three procedures: Firstly, the attribute match can be done, the attribute math algorism is used to calculate the similarity between the customers; the link analysis is followed, using the relationships between the customers to recognize the customer disambiguation problem. The method is this paper can optimize the match processing of the different people having the same name
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