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    SECURE MULTI-PARTY INFORMATION RETRIEVAL
    1.
    发明申请
    SECURE MULTI-PARTY INFORMATION RETRIEVAL 审中-公开

    公开(公告)号：US20180114028A1

    公开(公告)日：2018-04-26

    申请号：US15567531

    申请日：2015-05-01

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Mehran Kafai ,  Hongwei Shang ,  April Slayden Mitchell

    IPC: G06F21/60 ,  G06F21/62 ,  G06F17/30

    CPC classification number: G06F21/602 ,  G06F16/24578 ,  G06F21/6227 ,  G06F21/6254 ,  G06F2221/2115 ,  H04L9/3239 ,  H04L2209/46

    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.

    DATA STREAM ANALYTICS
    2.
    发明申请
    DATA STREAM ANALYTICS 审中-公开

    公开(公告)号：US20170316081A1

    公开(公告)日：2017-11-02

    申请号：US15142504

    申请日：2016-04-29

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Mehran Kafai ,  April Slayden Mitchell ,  Kave Eshghi ,  Omar Aguilar ,  Hongwei Shang

    IPC: G06F17/30

    CPC classification number: G06F16/285 ,  G06F16/2228 ,  G06F16/24568 ,  G06F16/289

    Abstract: Examples disclosed herein involve data stream analytics. In examples herein, a data stream may be analyzed by computing a set of hashes of a real-valued vector, the real-valued vector corresponding to a sample data object of a data stream; generating a list of data objects from a database corresponding to the sample data object based on the set of hashes, the list of data objects ordered based on similarity of the data objects to the sample data object of the data stream; and updating a data structure representative of activity of the sample data object in the data stream based on the list of data objects, the data structure to provide incremental analysis corresponding to the sample data object.

    INCREMENTAL UPDATE OF A NEIGHBOR GRAPH VIA AN ORTHOGONAL TRANSFORM BASED INDEXING
    3.
    发明申请
    INCREMENTAL UPDATE OF A NEIGHBOR GRAPH VIA AN ORTHOGONAL TRANSFORM BASED INDEXING 审中-公开

    公开(公告)号：US20180285693A1

    公开(公告)日：2018-10-04

    申请号：US15768539

    申请日：2015-10-16

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Mehran Kafai ,  Kyriaki Dimitriadou ,  April Slayden Mitchell

    IPC: G06K9/62 ,  G06F17/30 ,  G06F17/14

    Abstract: Incremental update of a neighbor graph via an orthogonal transform based indexing is disclosed. One example is a system including a hash transform module to apply an orthogonal transform to a data object in a data stream, and to associate the data object with a collection of ordered hash positions. An indexing module retrieves an index of ordered key positions, where each key position is indicative of data objects in the data stream that have a hash position at the key position. A neighbor determination module determines a ranked collection of neighbors for the data object in a neighbor graph, where the ranking is based on the index. A graph update module incrementally updates the neighbor graph by including the data object as a neighbor for a selected sub-plurality of data objects in the ranked collection.

    SOFTWARE-DEFINED SENSING
    4.
    发明申请
    SOFTWARE-DEFINED SENSING 审中-公开

    公开(公告)号：US20170208127A1

    公开(公告)日：2017-07-20

    申请号：US15324052

    申请日：2014-07-25

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Mehran Kafai ,  Wen Yao ,  April Slayden Mitchell

    IPC: H04L29/08

    CPC classification number: H04L67/12 ,  H04L12/28 ,  H04L12/44 ,  H04L12/66 ,  H04L67/1008 ,  H04W4/70

    Abstract: Low-level nodes (LLNs) that are communicatively connected to one another each have sensing capability and processing capability. High-level nodes (HLNs) that are communicatively connected to one another and to the LLNs each have processing capability more powerful than the processing capability of each LLN. The LLNs and the HLNs perform processing based on sensing events captured by the LLNs. The processing is performed by the LLNs and the HLNs to minimize data communication among the LLNs and the HLNs, and to provide for software-defined sensing.

    INTERACTIVE SEQUENTIAL PATTERN MINING
    5.
    发明申请
    INTERACTIVE SEQUENTIAL PATTERN MINING 审中-公开

    公开(公告)号：US20170161337A1

    公开(公告)日：2017-06-08

    申请号：US15325493

    申请日：2014-08-18

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Wen Yao ,  Mehran Kafai ,  April Slayden Mitchell

    IPC: G06F17/30

    CPC classification number: G06F16/2465 ,  G06F16/24578 ,  G06F16/2474 ,  G06F16/248 ,  G06F16/26

    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.

    Data stream analytics
    7.
    发明授权
    Data stream analytics 有权

    公开(公告)号：US11599561B2

    公开(公告)日：2023-03-07

    申请号：US15142504

    申请日：2016-04-29

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Mehran Kafai ,  April Slayden Mitchell ,  Kave Eshghi ,  Omar Aguilar ,  Hongwei Shang

    IPC: G06F16/28 ,  G06F16/22 ,  G06F16/2455

    Abstract: Examples disclosed herein involve data stream analytics. In examples herein, a data stream may be analyzed by computing a set of hashes of a real-valued vector, the real-valued vector corresponding to a sample data object of a data stream; generating a list of data objects from a database corresponding to the sample data object based on the set of hashes, the list of data objects ordered based on similarity of the data objects to the sample data object of the data stream; and updating a data structure representative of activity of the sample data object in the data stream based on the list of data objects, the data structure to provide incremental analysis corresponding to the sample data object.

    SOFTWARE-DEFINED SENSING
    9.
    发明申请
    SOFTWARE-DEFINED SENSING 有权

    公开(公告)号：US20220027204A1

    公开(公告)日：2022-01-27

    申请号：US17498150

    申请日：2021-10-11

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Mehran Kafai ,  Wen Yao ,  April Slayden Mitchell

    IPC: G06F9/50

    Abstract: Low-level nodes (LLNs) that are communicatively connected to one another each have sensing capability and processing capability. High-level nodes (HLNs) that are communicatively connected to one another and to the LLNs each have processing capability more powerful than the processing capability of each LLN. The LLNs and the HLNs perform processing based on sensing events captured by the LLNs. The processing is performed by the LLNs and the HLNs to minimize data communication among the LLNs and the HLNs, and to provide for software-defined sensing.

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