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公开(公告)号：US10945096B2
公开(公告)日：2021-03-09
申请号：US16470233
申请日：2017-02-17
申请人： Dataspark Pte Ltd
发明人： Ying Li , The Anh Dang
摘要： Mobility observations may be analyzed to create so-called mobility genes, which may be intermediate data forms from which various analyses may be performed. The mobility genes may include a trajectory gene, which may describe a trajectory through which a user may have travelled. The trajectory gene may be analyzed from raw location observations and processed into a form that may be more easily managed. The trajectory genes may be made available to third parties for analysis, and may represent a large number of location observations that may have been condensed, smoothed, and anonymized. By analyzing only trajectories, a third party may forego having to analyze huge numbers of individual observations, and may have valuable data from which to make decisions.
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公开(公告)号：US10003926B2
公开(公告)日：2018-06-19
申请号：US15304541
申请日：2014-09-16
CPC分类号： H04W4/029 , G06F16/14 , G06N7/06 , G06Q10/063 , G06Q30/02 , G06Q30/0269 , H04W4/021 , H04W4/023 , H04W4/025 , H04W4/30 , H04W4/42
摘要： Human behavior may be predicted by building a model of people's physical movements along with a model that represents their affinities to various ontological elements, and their relationships to other people. The model may include a graph of interrelated people, as well as their hobbies, interests, employment, and other elements. The model may be analyzed by simulating people's activities as those activities interact with real or hypothetical networks. The real networks may be used to verify the model by comparing measured parameters to predictive parameters derived from simulation to calibrate the models. A calibrated model may then be used with a modified or hypothetical network to analyze the effects of changes to the real network.
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公开(公告)号：US20210225050A1
公开(公告)日：2021-07-22
申请号：US15734713
申请日：2018-03-17
申请人： Dataspark Pte Ltd.
发明人： Ying LI , The Anh DANG
摘要： Daily activities of mobile data may be represented as and processed as an image consisting of days of the week versus time of day. The images may be rapidly processed from raw data, but also may be readily analyzed using image processing techniques. The daily activities may be a composite of several images, each of which may represent observations for a particular dimension. The dimension may represent a type of activity, a physical location, a labeled location, or some other aspect. The image having time of day versus day of week may show relationships or patterns that may occur from one day to the next, which may otherwise be difficult to detect.
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公开(公告)号：US20210176597A1
公开(公告)日：2021-06-10
申请号：US16470235
申请日：2017-09-27
申请人： Dataspark Pte Ltd
发明人： Ying LI , The Anh DANG
摘要： Machine learning techniques may be applied to determining a mode of transportation for a trajectory of a sequence of user locations. The mode of transportation, such as walking, bicycling, riding in a car or bus, riding in a train, or other mode, may be determined by creating a training set of data, then using classification mechanisms to classify trajectories by mode of transport. The training set may be generated by tracking then verifying a user's transportation mode. In some cases, a user may manually input or verify their transportation mode, while in other cases, a user's transportation mode may be determined through other data sources.
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公开(公告)号：US20210097699A1
公开(公告)日：2021-04-01
申请号：US17110692
申请日：2020-12-03
申请人： Dataspark Pte Ltd
发明人： Ying LI , The Anh DANG
摘要： Daily activities of mobile data may be processed as images. The image processing techniques may include classifying, pattern matching, and other automated analyses. Even when the images contain such highly condensed and summarized versions of the underlying raw data, very meaningful classification, pattern matching, and other analyses may be performed quickly and efficiently. Some analysis techniques may involve processing mobility data into individual dimensions, then prioritizing the dimensions based on activity observations. Other analysis techniques may involve processing mobility data into predefined dimensions.
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公开(公告)号：US09754485B2
公开(公告)日：2017-09-05
申请号：US14741009
申请日：2015-06-16
申请人： Dataspark Pte, Ltd.
CPC分类号： G08G1/0129 , G06F9/547 , G06N5/04 , G08G1/012 , G08G1/0141 , H04W4/021 , H04W4/029
摘要： A traffic routing and analysis system uses data from individual cellular or mobile devices to determine traffic density within a transportation network, such as subways, busses, roads, pedestrian walkways, or other networks. The system may use historical data derived from monitoring people's travel patterns, and may compare historical data to real time or near real time data to detect abnormalities. The system may be used for policy analysis, predicted commute times and route selection based on traffic patterns, as well as broadcast statistics that may be displayed to commuters. The system may be accessed through an application programming interface (API) for various applications, which may include applications that run on mobile devices, desktop or cloud based computers, or other devices.
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公开(公告)号：US11418915B2
公开(公告)日：2022-08-16
申请号：US16470235
申请日：2017-09-27
申请人： Dataspark Pte Ltd
发明人： Ying Li , The Anh Dang
摘要： Machine learning techniques may be applied to determining a mode of transportation for a trajectory of a sequence of user locations. The mode of transportation, such as walking, bicycling, riding in a car or bus, riding in a train, or other mode, may be determined by creating a training set of data, then using classification mechanisms to classify trajectories by mode of transport. The training set may be generated by tracking then verifying a user's transportation mode. In some cases, a user may manually input or verify their transportation mode, while in other cases, a user's transportation mode may be determined through other data sources.
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公开(公告)号：US10834536B2
公开(公告)日：2020-11-10
申请号：US16470236
申请日：2018-01-05
申请人： Dataspark Pte Ltd
发明人： Ying Li , The Anh Dang
IPC分类号： H04W4/029 , H04W4/80 , G06F16/29 , G06K9/62 , H04W4/02 , G01S5/02 , G01S5/08 , G01S5/10 , G06Q50/30 , H04W64/00 , H04B17/318 , H04W84/12
摘要： Estimating a location of a device at a particular point of time may incorporate one, two, or more different location data points. The location data points may be derived from communications networks, where there may be different mechanisms for determining location. As part of the location estimation, each cellular location in a cellular network may have a different error range associated with each cell, for example. The error range for each cell may be generated by collecting precise location data from Global Positioning System or other mechanism with high accuracy, and comparing that data to location data gathered from other sources. A database of error ranges for each cell and each location mechanism may be gathered and used to estimate the actual location of a device for a given time period.
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公开(公告)号：US10762538B2
公开(公告)日：2020-09-01
申请号：US15304536
申请日：2014-04-24
IPC分类号： G06N5/00 , H04W4/02 , G06F16/95 , G06Q10/00 , G06Q30/02 , G06Q50/00 , G06F16/9535 , G06F16/901 , G06N5/02 , G06N5/04
摘要： A knowledge model is derived from many different data sources, including activities of a person's mobile devices and various media consumption habits. A graph may be built having various nodes representing concepts from the data sources and edges representing relationships between them. From the graph, various inferences may be made that can provide insight that could not otherwise be obtained. The knowledge model may be deployed as several services, including rich geolocation services, recommendation services, and other services. The services may be accessed through an application programming interface, which may be a paid service with various payment options.
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公开(公告)号：US10176340B2
公开(公告)日：2019-01-08
申请号：US15068622
申请日：2016-03-13
申请人： Dataspark Pte, Ltd.
发明人： The Anh Dang , Amy Xuemei Shi-Nash
摘要： A system may generate abstracted graphs from a social relationship graph in response to a query. A query may identify a person for which permission has been obtains to collect their data. The abstracted graphs may include summary statistics for various relationships of the person. The relationships may include other persons, places, things, concepts, brands, or other object that may be present in a social relationship graph, and the relationships may be presented in an abstracted or summarized form. The abstracted form may preserve data that may be useful for the requestor, yet may prevent the requestor from receiving some raw data. When two or more people have given consent, the data relating to the consenting persons may be presented in a non-abstracted manner, while other data may be presented in an abstracted manner.
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