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公开(公告)号:US20200272853A1
公开(公告)日:2020-08-27
申请号:US16285173
申请日:2019-02-25
发明人: Scott Zoldi , Shafi Rahman
摘要: A system and method for learning and associating reliability and confidence corresponding to a model's predictions by examining the support associated with datapoints in the variable phase space in terms of data coverage, and their impact on the weights distribution. The approach disclosed herein examines the impact of minor perturbations on a small fraction of the training exemplars in the variable phase space on the weights to understand whether the weights remain unperturbed or change significantly.
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公开(公告)号:US10713140B2
公开(公告)日:2020-07-14
申请号:US14736093
申请日:2015-06-10
发明人: Ashish Gupta , Shafi Ur Rahman , Sambandan Murugan
摘要: The state of a system is determined in which data sets are generated that include a plurality of data instances representing states of one or more components of a computer system. The data instances generated by one or more data set sources that are configured to output a data instance in response to a trigger associated with the one or more components. The data instances are normalized by the application of one or more rules. The data instances from individual data set sources are separately collated to generate groups of time-specific collated data instances. State types may be assigned to each of the collated data instance groups. Distributions of state-types across the groups may be determined and a list of infrequent state-types may be generated based on the determined distributions of state-types across the groups.
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公开(公告)号:US10664759B2
公开(公告)日:2020-05-26
申请号:US14522304
申请日:2014-10-23
发明人: Amit Naik
摘要: A method for analyzing and implementing sentiments includes sorting data from the data stream into sorted data by using a corpus builder. The sorted data is then input into an opinion mining platform where selected content is obtained based on the identification of keywords present in the sorted data. A sentiment extraction program generates sentiment metrics based on analysis of the selected content. A rules extractor program determines, based on the sentiment metrics satisfying rules, if actions are to be performed by a business rules engine.
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公开(公告)号:US20200151628A1
公开(公告)日:2020-05-14
申请号:US16681501
申请日:2019-11-12
发明人: Scott M. Zoldi , Larry Peranich , Jehangir Athwal , Uwe Mayer , Sajama
摘要: A computer-implemented method for technologically improving a computer-implemented machine-learning model, the method comprising receiving, by a model, at least a first data record; generating a first score representing a first likelihood that the first data record is associated with a first classification, in response to feedback received from one or more data sources communicating with at least one computing system on which the model is implemented; generating a second score to represent a second likelihood that the first data record is associated with the first classification, in response to the first score being higher than a threshold value.
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公开(公告)号:US10521735B2
公开(公告)日:2019-12-31
申请号:US15050200
申请日:2016-02-22
摘要: A testing framework associated with a decision metaphor model tool reads table profile files to generate requests for a test of a decision metaphor. The testing framework sends the requests for the test to a decision engine and receives responses for the requests for comparison against expected values and possible errors. The testing framework also outputs an output file that includes a result of the test, where the output file is formatted in a computer-displayable and user-readable graphical format.
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26.
公开(公告)号:US20190354613A1
公开(公告)日:2019-11-21
申请号:US15981755
申请日:2018-05-16
发明人: Scott Michael Zoldi , Shafi Rahman
摘要: A system and method for analyzing coverage, bias and model explanations in large dimensional modeling data includes discretizing three or more variables of a dataset to generate a discretized phase space represented as a grid of a plurality of cells, the dataset comprising a plurality of records, each record of the plurality of records having a value and a unique identifier (ID). A grid transformation is applied to each record in the dataset to assign each record to a cell of the plurality of cells of the grid according to the grid transformation. A grid index is generated to reference each cell using a discretized feature vector. A grid storage for storing the records assigned to each cell of the grid is then created. The grid storage using the ID of each record as a reference to each record and the discretized feature vector as a key to each cell.
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公开(公告)号:US20190311427A1
公开(公告)日:2019-10-10
申请号:US15945710
申请日:2018-04-04
发明人: Tom Quinn , Paul Panichelli , Steven Y. Hu , Owen Leibman , Ethan J. Dornhelm , Geoff Smith
摘要: A system and method to analyze the difference between a consumer's baseline credit score at one point in time and the consumer's credit score at a later point in time, and process the score difference to determine the factors in the consumer's credit profile that most explain the score difference. Systems and methods provide a mechanism for generating and formatting a record, which can be displayed on a display device, to represent those main factors of score difference.
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28.
公开(公告)号:US20190311366A1
公开(公告)日:2019-10-10
申请号:US15947717
申请日:2018-04-06
发明人: Scott Michael Zoldi , Alexei Betin
摘要: Parallelized computation by a real-time transaction scoring system that incorporates global behavior profiling of transacting entities includes dividing a global profile computing component of a transaction scoring model of a real-time behavioral analytics transaction scoring system into a plurality of global profile component instances. The transaction scoring model uses a plurality of global profile variables, each of the plurality of global profile component instances using its own global profile partition that contains the estimate of global profile variables and being configured for update by a dedicated thread of execution of the real-time transaction scoring system, each dedicated thread being configured for receiving and scoring a portion of input transactions. The method further includes partitioning, based on one or more transaction routing shuffling algorithms, the input transactions for receipt across the plurality of global profile component instances, and updating each of the plurality of global profile partitions by the corresponding global profile component running in the dedicated thread according to the scoring algorithm.
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公开(公告)号:US20190295383A1
公开(公告)日:2019-09-26
申请号:US16357311
申请日:2019-03-18
发明人: Yonghui Chen , Gregory Gancarz , Scott M. Zoldi
摘要: A computer-implemented method and system for visualizing card transaction fraud analysis is presented. Transaction data and account data related to one or more payment card accounts is stored in a database. The transaction data includes a fraud score. A computer processor generates one or more of a plurality of visualizations of activity of at least one suspicious account from the one or more payment card accounts for display in a graphical user interface, each of the plurality of visualizations providing at least a graphical representation of the transaction data and which is selectable from a menu provided by the computer processor in the graphical user interface. The visualizations assist in case judgment of the one or more payment cards.
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公开(公告)号:US20190095988A1
公开(公告)日:2019-03-28
申请号:US16174106
申请日:2018-10-29
发明人: Scott Michael Zoldi , Michael Urban
摘要: A system and method for detecting compromise of financial transaction instruments associated with a merchant or automated teller machine (ATM) are disclosed. Historical data representing a historical aggregate financial transaction instrument behavior history is stored in a computer memory. The historical data is received at the computer from one or more merchants and ATMs via a communications network. Authorization data representing authorization behavior of a plurality of financial transaction cards related to corresponding financial transactions at the same or a different one or more merchants and ATMs is received by the computer. Abnormal activity data representing an abnormal aggregate financial transaction instrument activity based on the authorization data is determined, and the historical data is compared with the abnormal activity data to generate a compromise profile for the plurality of financial transaction instruments.
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