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公开(公告)号：US10726500B1
公开(公告)日：2020-07-28
申请号：US16452625
申请日：2019-06-26
Inventor： Rajiv Shah , Michael S. Jacob , Sripriya Sundararaman , Jeffrey D. Hevrin , Jeffrey G. Kinsey , Phillip Sangpil Moon , Ellakate LeFebre , Sunish Menon , Jeffrey W. Stoiber , James Dykeman , Erin Olander , Lucas Allen
Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.
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公开(公告)号：US10726494B1
公开(公告)日：2020-07-28
申请号：US15403296
申请日：2017-01-11
Inventor： Rajiv Shah , Michael Shawn Jacob , Sripriya Sundararaman , Jeffrey David Hevrin , Jeffrey Kinsey , Phillip Sangpil Moon , EllaKate LeFebre , Sunish Menon , Jeffrey Wilson Stoiber , James Nolan Dykeman , Erin Ann Olander , Lucas Allen
Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.
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公开(公告)号：US10248533B1
公开(公告)日：2019-04-02
申请号：US15643757
申请日：2017-07-07
Inventor： Rajiv Shah , Shannon Morrison , Jeremy Cunningham , Taylor Smith , Sripriya Sundararaman , Jing Wan , Jeffrey Hevrin , Ronald Duehr , Brad Sliz , Lucas Allen
Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.
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