Interactive sequential pattern mining

    公开(公告)号:US10565218B2

    公开(公告)日:2020-02-18

    申请号:US15325493

    申请日:2014-08-18

    Abstract: Interactive sequential pattern mining is disclosed. One example is a system including a sequence miner, and an interaction processor. A sequence database is received, the sequence database including a plurality of input sequences, where each sequence of the plurality of input sequences is an ordered list of events, and each event in the list of events includes at least one item. The sequence miner mines the sequence database for a plurality of candidate sequence patterns, the mining based on an interaction with a user. The interaction processor processes the interaction with the user, the interaction based on domain relevance of the plurality of candidate sequence patterns to the user.

    Secure multi-party information retrieval

    公开(公告)号:US11775656B2

    公开(公告)日:2023-10-03

    申请号:US15567531

    申请日:2015-05-01

    Abstract: Secure multi-party information retrieval is disclosed. One example is a system including a query processor to request secure retrieval of candidate terms similar to a query term. A collection of information processors, where a given information processor receives the request and generates a random permutation. A plurality of data processors, where a given data processor generates clusters of a plurality of terms in a given dataset, where the clusters are based on similarity scores for pairs of terms, and selects a representative term from each cluster. The given information processor determines similarity scores between a secured query term received from the query processor and secured representative terms received from the given data processor, where the secured terms are based on the permutation, and the given data processor filters, without knowledge of the query term, the candidate terms of the plurality of terms based on the determined similarity scores.

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