10126 results about "Data profiling" patented technology

A method, apparatus, computer readable medium, computer system, wireless or wired network, or system to provide an online and / or mobile security of a user's privacy and / or security method of internet or mobile access or system, apparatus, computer readable medium, or system using encryption technologies and / or filters to access data, encrypt and / or decrypt data, sync data, secure data storage and / or process data using cloud technology across many different networks and / or fiber optic communications from an endpoint accessed through multiple devices, browsers, operating systems, networks, servers, storage, software, applications or services integrated in a public cloud or a private cloud within an enterprise, a social network, big data analytics or electronic surveillance tracking or some mashup of two or more to prevent the unauthorized collecting, tracking and / or analysis of a user's personal data by a third party and / or for generating relevant advertising, mobile, internet social messaging, internet posted promotions or offers for products and / or services.

A method of monitoring a computer network by collecting resource data from a plurality of network nodes, analyzing the resource data to generate historical performance data, and reporting the historical performance data to another network node. The network nodes can be servers operating on different platforms, and resource data is gathered using separate programs having different application programming interfaces for the respective platforms. The analysis can generate daily, weekly, and monthly historical performance data, based on a variety of resources including CPU utilization, memory availability, I / O usage, and permanent storage capacity. The report may be constructed using a plurality of documents related by hypertext links. The hypertext links can be color-coded in response to at least one performance parameter in the historical performance data surpassing an associated threshold. An action list can also be created in response to such an event.

This invention relates to intelligent video surveillance fuzzy logic neural networks, camera systems with local and network-shared communications for facial, physical condition and intoxication recognition. The device we reveal helps reduce underage drinking by detecting and refusing entrance or service to subjects under legal drinking age. The device we reveal can estimate attention of viewers of advertising, entertainment, displays and the like. The invention also relates to method, and Vision, Image and related-data, database-systems to reduce the volume of surveillance data through automatically recognizing and recording only occurrences of exceptions and elimination of non-events thereby achieving a reduction factor of up to 60,000. This invention permits members of the LastCall™ Network to share their databases of the facial recognition and identification of subjects recorded in the exception occurrences with participating members' databases: locally, citywide, nationally and internationally, depending upon level of sharing permission.

Methods and apparatus are provided for iterative refinement of cohorts using visual exploration and data analytics. A cohort comprised of multiple data objects is defined by obtaining an initial cohort seeding; visualizing the initial cohort using a selected view to present a current cohort; reducing the current cohort using one or more visual filters; visualizing the current cohort using a selected view; expanding the current cohort using one or more selected analytics; and determining whether the current cohort should be further modified using one or more of additional reductions and additional expansions. Cohorts can be passed between views and analytics via drag-and-drop interactions as an analysis unfolds.

The present invention provides systems and methods for obtaining information from a networked system utilizing a distributed web crawler. The distributed nature of clients of a server is leveraged to provide fast and accurate web crawling data. Information gathered by a server's web crawler is compared to data retrieved by clients of the server to update the crawler's data. In one instance of the present invention, data comparison is achieved by utilizing information disseminated via a search engine results page. In another instance of the present invention, data validation is accomplished by client dictionaries, emanating from a server, that summarize web crawler data. The present invention also facilitates data analysis by providing a means to resist spoofing of a web crawler to increase data accuracy.

A system and method is implemented with use of a mobile communication device and at least one sensor configured to sense a parameter associated with a user's physiology. One or more parameters associated with the user's physiology are sensed, the sensed one or more parameters defining physiological data associated with the user. The physiological data is analyzed relative to training regimen data, the training regimen data comprising one or both of range limits and durations associated with an exercise regimen. The physiological data is transferred to the mobile communication device, and the mobile communication device provides the physiological data in a form suitable for integration into an avatar representative of the user.

A method, apparatus, computer readable medium, computer system, wireless or wired network, or system to provide an online and / or mobile security of a user's privacy and / or security method of internet or mobile access or system, apparatus, computer readable medium, or system using encryption technologies and / or filters to access data, encrypt and / or decrypt data, sync data, secure data storage and / or process data using cloud technology across many different networks and / or fiber optic communications from an endpoint accessed through multiple devices, browsers, operating systems, networks, servers, storage, software, applications or services integrated in a public cloud or a private cloud within an enterprise, a social network, big data analytics or electronic surveillance tracking or some mashup of two or more to prevent the unauthorized collecting, tracking and / or analysis of a user's personal data by a third party and / or for generating relevant advertising, mobile, internet social messaging, internet posted promotions or offers for products and / or services.

A system improves the design of artificial implant components for use in joint replacement surgeries. The system includes an anthropometric static image data analyzer, an implant model data generator, a kinematic model simulator, and a dynamic response data analyzer. The implant model data generator may also use image data of a joint in motion for modification of the implant model data used in the kinematic simulation. Dynamic response data generated by the kinematic model simulation is analyzed by the dynamic response data analyzer to generate differential data that may be used to further refine the implant model data.

The present invention is directed generally to providing systems and methods for data analysis. More specifically, embodiments may provide system(s) and method(s) including dynamic user modeling techniques to capture the relational and dynamic patterns of information content and / or users' or entities' interests. Various embodiments may include system(s) and method(s) that are based on, for example, the past history of content semantics, temporal changes, and / or user community relationship. Various embodiments may include modeling and / or analysis of the dynamic nature of an item of interest's value to a user(s) / entity(ies) over time. The dynamic factors may be consider in any manner, such as, individually or combined, sequentially or simultaneously, etc. Further, some embodiments may include, for example, system(s) and method(s) relating to analyzing data to capture user / entity interests and / or characteristics, consider content semantics and evolutionary information, and / or using community relationships of users / entities to thereby analyze information and provide dynamic conclusion(s) (e.g., recommendation(s)).

A system and related method for identifying a trigger event to a patient health-related exacerbation. The system includes at least one sensor configured to collect data related to the patient health-related exacerbation, an analyzer configured to validate the collected data, a patient interface device configured to receive patient inputs to at least one question, and an identifier device configured to receive the patient inputs and collected data and identify the trigger event. The system may also include an expert system configured to receive the patient inputs and the validated collected data and identify a primary patient disease, and a reporting device configured to generate reports related to the identified primary patient disease, patient inputs, and sensed patient conditions.

The invention discloses a method and device for medical information sharing privacy protection based on a blockchain technology. According to the method, in aspects of privacy protection based on a blockchain technology, medical data on-chain and off-chain storage and forced privacy protection safety multiparty calculation, illegal medical data obtaining, use and tampering are avoided, and medical information sharing, big data analysis and utilization and patient privacy protection are implemented. The device comprises a data storage module, a service module provided based on the blockchain technology and a call service module provided externally, wherein a three-layer data storage frame is adopted for the data storage module; and the service module provided based on the blockchain technology mainly comprises forced privacy protection safety multiparty calculation. The method and device for medical information sharing privacy protection based on the blockchain technology are mainly applied to the fields of method and device for medical information sharing privacy protection based on a blockchain technology and medical big data analysis and the like, and technical guarantee is also provided for patient privacy protection while medical information sharing is achieved based on the blockchain technology.

A predictive modeling method may include determining a time interval of time-series data; identifying one or more variables of the data as targets; determining a forecast range and a skip range associated with a prediction problem represented by the data; generating training data and testing data from the time-series data; fitting a predictive model to the training data; and testing the fitted model on the testing data. The forecast range may indicate a duration of a period for which values of the targets are to be predicted. The skip range may indicate a temporal lag between the time period corresponding to the data used to make predictions and the time period corresponding to the predictions. The skip range may separate input data subsets representing model inputs from subsets representing model outputs, and separate test data subsets representing model inputs from subsets representing validation data.

Systems and methods for data analysis and trend prediction. Multiple networks are combined for analysis to improve the accuracy of the evaluation by broadening the type of criteria considered. Relevant features are extracted from a dataset and at least one network is formed representing various relationships identified among the items contained in the dataset according to heuristics. Statistical analyses are applied to the relationships and the results output to a user via one or more reports to permit a user to evaluate each of the items in the dataset relative to each other. The trend of the relationships may be predicted based on the results of statistical analysis applied to the features over successive discrete time periods.

A system and method for collecting and testing data at a patient point of care location via a first device, such as a sample cartridge adapted to engage a first device, such as a personal digital assistant (PDA) incorporating a wireless communication module to communicate collected data to a second device, such as a healthcare workers personal PDA located beyond a contamination radius about a patient. Each device can further include a registration device, such as a bar code reader, to collect additional information at a point of care and tag data, or data analysis information, with an associated patient code.

A system and method for analyzing and using vehicle historical data is provided. The system and method may include obtaining vehicle history data from a vehicle history data system, and analyzing various vehicle variables to determine final factors associated with such vehicle variables. The vehicle variables may be categorized based on the age of the vehicle, the amount of time that has occurred since some event, or other time period. The final factors can be combined to score particular vehicles. Vehicle history scores can be used to evaluate risk associated with a particular vehicle, including use in underwriting and rating insurance policies, vehicle financing, or vehicle warranties.

A server arrangement for managing observation data of wireless devices, including data input logic for obtaining observation data from wireless devices, the obtained data including behavioral and contextual raw data relative to the wireless devices, data mining logic for establishing a number of derived data elements, on the basis of processing and analyzing the obtained observation and optional supplementary data, the processing and analyzing incorporating aggregation procedures. At least one derived data element includes usage metrics with contextual dimension relative to applications or other features of wireless devices and users, data storage for storing the obtained data and the number of derived information elements, and a data distribution logic providing derived data. The distribution logic may serve a data query constructed by an external entity through provision of derived information from derived data elements according to the query parameters. A corresponding method for execution by the server arrangement is presented.

A method and system for performing data analysis where multiple, categorical dimensions and statistical measures are used. The method includes preparing multi-dimensional data into nodes and arranging them logically in the form of a partial-order database. The database may then be traversed by a data-mining tool, or queried in an OLAP manner. Queries are answered through a process of associative partial-order search, which includes optional support for “children-of” requests, and optional support for fuzzy pattern-matching. By aggregating measures on-the-fly, this method is able to preform well without requiring a large number of summary nodes, when taken as a percentage of the total node count.

A system and method of making unstructured data available to structured data analysis tools. The system includes middleware software that can be used in combination with structured data tools to perform analysis on both structured and unstructured data. Data can be read from a wide variety of unstructured sources. The data may then be transformed with commercial data transformation products that may, for example, extract individual pieces of data and determine relationships between the extracted data. The transformed data and relationships may then be passed through an extraction / transform / load (ETL) layer and placed in a structured schema. The structured schema may then be made available to commercial or proprietary structured data analysis tools.

A system improves the design of artificial implant components for use in joint replacement surgeries. The system includes an anthropometric static image data analyzer, an implant model data generator, a kinematic model simulator, and a dynamic response data analyzer. The implant model data generator may also use image data of a joint in motion for modification of the implant model data used in the kinematic simulation. Dynamic response data generated by the kinematic model simulation is analyzed by the dynamic response data analyzer to generate differential data that may be used to further refine the implant model data.

Nonlinear generalized dynamic regression analysis system and method of the present invention preferably uses all available data at all time points and their measured time relationship to each other to predict responses of a single output variable or multiple output variables simultaneously. The present invention, in one aspect, is a system and method for predicting whether an intervention administered to a patient changes the physiological, pharmacological, pathophysiological, or pathopsychological state of the patient with respect to a specific medical condition. The present invention uses the theory of martingales to derive the probabilistic properties for statistical evaluations. The approach uniquely models information in the following domains: (1) analysis of clinical trials and medical records including efficacy, safety, and diagnostic patterns in humans and animals, (2) analysis and prediction of medical treatment cost-effectiveness, (3) the analysis of financial data, (4) the prediction of protein structure, (5) analysis of time dependent physiological, psychological, and pharmacological data, and any other field where ensembles of sampled stochastic processes or their generalizations are accessible. A quantitative medical condition evaluation or medical score provides a statistical determination of the existence or onset of a medical condition.

Architectures and methods for performing big data analytics by providing an integrated storage / processing system containing non-volatile memory devices that form a large, non-volatile memory array and a graphics processing unit (GPU) configured for general purpose (GPGPU) computing. The non-volatile memory array is directly functionally coupled (local) with the GPU and optionally mounted on the same board (on-board) as the GPU.

Aspects of the present invention include a method of dynamically routing requests within multiple cloud computing networks. The method includes receiving a request for an application from a user device, forwarding the request to an edge server within a content delivery network (CDN), and analyzing the request to gather metrics about responsiveness provided by the multiple cloud computing networks running the application. The method further includes analyzing historical data for the multiple cloud computing networks regarding performance of the application, based on the performance metrics and the historical data, determining an optimal cloud computing network within the multiple cloud computing networks to route the request, routing the request to the optimal cloud computing network, and returning the response from the optimal cloud computing network to the user device.

A method and system allowing a user to interrogate external financial data quickly and efficiently and to drill up or drill down and across multiple graphical displays (“maps”) of information. Maps offer multiple dimensional filtration functionality enabling a comparison between different investment strategies. External financial data is received and calculations can be performed on the external financial data to generate one or more indicators. Internal financial data is calculated from one or more of the external financial data and the indicators. Filters are applied to the external and internal financial data, and the indicators. The filtered data is used to generate maps of certain data usually plotted against external and internal financial data or indicators. Icons are generated adding another dimension to the map without adding an additional axis of data. Further “depth” to a map can be added by generating a sub-map or a historical movement map.

Controlling margins in a DSL modem pair is based on collected operational data. The operational data is analyzed and at least one of the modems in the modem pair is instructed to use a margin-related parameter value to assist the modem pair in meeting a margin target, such as a margin limit imposed by a DSL standard or the like. A controller, such as a DSM Center, a “smart” modem unit and / or a computer system can collect and analyze the operational data and generate one or more margin-related parameter values. The margin-related parameter value may be a PSD-related value, such as the MAXNOMPSD, MAXNOMATP or PSDMASK parameter used by various ADSL systems, and may be a shaped spectral mask and / or caps or limits on bit loading for use in transmissions between the modems. In some cases, preference bands can be imposed to direct modems to favor and / or avoid certain frequencies in the modem's usable band(s). The operational data may include historical data relating to prior performance of the modem pair and prior margin compliance. A distribution of margins also may be based on operational data and may be estimated as a function of data rate. Using the estimated margin distribution, a distribution of performance parameters also is calculated, including the probabilities of line outages and probabilities of one or more error parameters exceeding minimum levels. Data rates and / or performance-related parameters may be set on the basis of the estimated performance of the system using various margin settings and levels.

An apparatus, system, and method are provided for modeling and analyzing a plurality of computing workloads. The apparatus, system, and method include a data collection module for gathering performance data associated with operation of the computer system. A modeling module executes a plurality of models in parallel, in series, or according to a hierarchical relationship. A data analysis module presents analysis data compiled from the modeling module to a user, typically in the form of a graph. And finally, a framework manages the data collection module, the modeling module, and the data analysis module according to a predefined data and model flow.

Central nervous system, autonomic nervous system, and effector data is measured and analyzed to determine the effectiveness of marketing and entertainment stimuli. A data collection mechanism including multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data. The response data is enhanced using intra-modality response synthesis and / or a cross-modality response synthesis.

The present invention relates to a methodology for the conversion of unstructured, free text data (contained within medical reports) into standardized, structured data, and also relates to a decision support feature for use in diagnosis and treatment options.