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公开(公告)号：US20200174902A1
公开(公告)日：2020-06-04
申请号：US16204110
申请日：2018-11-29
Applicant: International Business Machines Corporation
Inventor： Teodora S. Buda , Hitham Ahmed Assem Aly Salama , Faisal Ghaffar , Lei Xu , Bora Caglayan
Abstract: Detecting data anomalies by receiving a first data set related to a first variable metric, determining data anomaly detection scores for data points of the first data set according to a plurality of data anomaly detection techniques, generating an adaptive ground-truth window according to the data anomaly detection scores, assigning a weighting value to each data point within the adaptive ground-truth window, training a machine learning system using the set of data anomaly detection scores and weighting values, and providing a trained machine learning system for evaluating a second data set.
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公开(公告)号：US20200151826A1
公开(公告)日：2020-05-14
申请号：US16183870
申请日：2018-11-08
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Faisal Ghaffar , Teodora S. Buda , Hitham Ahmed Assem Aly Salama , Bora Caglayan
Abstract: A method, computer system, and a computer program product for improving social media network actions is provided. The present invention may include determining a proposed action by a user and predicting a predicted influence score for the proposed action. The present invention may include identifying a prior related action in the user's social media network. The present invention may include retrieving a previously calculated average influence score for the type and user of the prior related action and applying a decay profile to the average influence score from the time of the action to a current time. The present invention may include comparing the predicted influence score with the decayed average influence score at the current time. The present invention may include posting the proposed action on the social media network at a time when the predicted influence score is greater than the decayed average influence score.
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公开(公告)号：US20200074267A1
公开(公告)日：2020-03-05
申请号：US16119194
申请日：2018-08-31
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Hitham Ahmed Assem Aly Salama , Faisal Ghaffar , Teodora S. Buda , Bora Caglayan
Abstract: Various embodiments are directed to concepts for spatio-temporal prediction based on one-dimensional features and two-dimensional features from diverse data sources. One embodiment comprises processing one-dimensional data matrices representative of variations of one-dimensional, 1D, feature values with a fully connected network to generate respective outputs from the fully connected network. It also comprises processing two-dimensional data matrices representative of variations of two-dimensional, 2D, feature values with a convolutional neural network to generate respective outputs from the convolutional neural network. The outputs from the fully connected network and convolutional neural network are combined, in a data fusion layer, to generate an output prediction
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公开(公告)号：US11860971B2
公开(公告)日：2024-01-02
申请号：US15988506
申请日：2018-05-24
Applicant: International Business Machines Corporation
Inventor： Teodora Buda , Hitham Ahmed Assem Aly Salama , Bora Caglayan , Faisal Ghaffar
Abstract: According to an embodiment of the present invention, an approach accurately detects anomalies or outliers of a time-series dataset. A method for identifying whether a particular data element of the time-series dataset is an outlier comprises predicting a value for that particular data element and obtaining a threshold value that defines, relative to the predicted value, whether an actual value of the data element is an outlier. In an aspect of a present invention embodiment, the threshold value is generated based on historic error values associated with data elements temporally preceding the particular data element of the time-series dataset.
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公开(公告)号：US10776886B2
公开(公告)日：2020-09-15
申请号：US16183870
申请日：2018-11-08
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Faisal Ghaffar , Teodora S. Buda , Hitham Ahmed Assem Aly Salama , Bora Caglayan
Abstract: A method, computer system, and a computer program product for improving social media network actions is provided. The present invention may include determining a proposed action by a user and predicting a predicted influence score for the proposed action. The present invention may include identifying a prior related action in the user's social media network. The present invention may include retrieving a previously calculated average influence score for the type and user of the prior related action and applying a decay profile to the average influence score from the time of the action to a current time. The present invention may include comparing the predicted influence score with the decayed average influence score at the current time. The present invention may include posting the proposed action on the social media network at a time when the predicted influence score is greater than the decayed average influence score.
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Patent Agency Ranking
公开(公告)号：US20190166054A1
公开(公告)日：2019-05-30
申请号：US16263571
申请日：2019-01-31
Applicant: International Business Machines Corporation
Inventor： Robert Grant , Kelley Anders , Faisal Ghaffar , Ahmad Abdul Wakeel
IPC: H04L12/825 , H04L29/08 , H04L12/66 , H04L12/801 , H04L12/26
Abstract: A data congestion control can operate in a hierarchical sensor network. A first data rate of data received from a set of devices is determined to compare unfavorably to a congestion threshold. A most favorable negotiation score of a set of negotiation scores corresponding to the set of devices is determined. A proposed reduced transmission rate that is less than a current transmission rate of the device and that compares favorably a boundary conditions of the device is determined. A transmission rate reduction request is generated for transmission to the one of the set of devices that indicates the proposed reduced transmission rate. An updated data rate of the data received from the set of devices is determined, and a difference between the updated data rate and the first aggregated data rate corresponds to a reduction of rate of transmission by the device.
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公开(公告)号：US20190158409A1
公开(公告)日：2019-05-23
申请号：US15818648
申请日：2017-11-20
Applicant: International Business Machines Corporation
Inventor： Robert Grant , Kelley Anders , Faisal Ghaffar , Ahmad Abdul Wakeel
IPC: H04L12/825 , H04L12/26 , H04L29/08 , H04L12/801 , H04L12/66
Abstract: A data congestion control can operate in a hierarchical sensor network. A first data rate of data received from a set of devices is determined to compare unfavorably to a congestion threshold. A most favorable negotiation score of a set of negotiation scores corresponding to the set of devices is determined. A proposed reduced transmission rate that is less than a current transmission rate of the device and that compares favorably a boundary conditions of the device is determined. A transmission rate reduction request is generated for transmission to the one of the set of devices that indicates the proposed reduced transmission rate. An updated data rate of the data received from the set of devices is determined, and a difference between the updated data rate and the first aggregated data rate corresponds to a reduction of rate of transmission by the device.
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公开(公告)号：US11113625B2
公开(公告)日：2021-09-07
申请号：US15675925
申请日：2017-08-14
Applicant: International Business Machines Corporation
Inventor： Hitham Ahmed Assem Aly Salama , Teodora Sandra Buda , Faisal Ghaffar , Lei Xu
Abstract: An embodiment includes a method for use in managing a system comprising one or more computers, each computer comprising at least one hardware processor coupled to at least one memory, the method comprising a computer-implemented manager: generating a potential configuration for hardware resources of the system; determining whether the potential configuration satisfies accuracy and time constraints for a selected machine learning model; if the potential configuration satisfies the constraints, indicating the potential configuration to be the optimal configuration for the system; and if the potential configuration does not satisfy the constraints, adapting the potential configuration to satisfy the constraints. The adapting may comprise repeating the generating and determining steps. The adapting may be based at least in part on the hardware resources and the selected machine learning model.
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公开(公告)号：US11037064B2
公开(公告)日：2021-06-15
申请号：US15788336
申请日：2017-10-19
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Teodora Buda , Faisal Ghaffar , Patrick J. O'Sullivan , Hitham Ahmed Assem Aly Salama , Lei Xu
IPC: G06N5/04 , G06Q50/00 , G06Q30/02 , G06N5/02 , H04W4/029 , H04W24/08 , H04W4/02 , G01S7/41 , G06F16/29 , G01S13/00
Abstract: A system and method for recognizing recurrent crowd mobility patterns in a defined geographical area are presented. A crowded area may be determined for a selected geographical region at predefined time intervals based on spatial distribution of a plurality of users collected from a social media network. A crowd footprint may be generated according to the crowded areas determined at the predefined time intervals. Recurrent crowd mobility patterns may be detected according to the crowd footprint.
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公开(公告)号：US10929488B2
公开(公告)日：2021-02-23
申请号：US15991283
申请日：2018-05-29
Applicant: International Business Machines Corporation
Inventor： Robert H. Grant , Faisal Ghaffar , Mark Delaney , Ahmad Abdul Wakeel
IPC: G06F16/00 , G06F16/9535 , H04W4/70 , G06F16/2457 , G06F16/9032 , G06F16/33
Abstract: A system and method for filtering search results to exclude technically incompatible devices with a user's existing IoT network includes analyzing the search query to determine an objective of a user, calculating a relevance score for each IoT device, profiling an existing IoT network associated with the user, determining a compatibility of each IoT device with the existing IoT network, combining the relevance score and an ease of incorporation score to determine a total score, and filtering the search results for the IoT devices according to the total score, such that an optimal device is displayed at a top of the search results from the search engine on a webpage among other IoT devices that are above a minimum ease of incorporation score and removing other IoT devices from the search results displayed on the webpage that are below the minimum ease of incorporation score.
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