5098 results about "Data profiling" patented technology

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.

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.

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.

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.

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.

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.

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.

A sample analysis and medical data acquisition system for patient management includes a first user interface (UI) display module for displaying a medical chart page that includes selectable items associated with patient management. The first UI display module displays a set of medical delivery systems associated with a selectable medical delivery selection item, from which a medical delivery system is chosen. The system includes a second UI display module, in communication with the first UI display module, for displaying parameter fields for entry of operation data associated with the chosen medical delivery system. Medical data is captured from a patient by an analyzer configured to perform analysis of samples from the patient. The medical data is analyzed in accordance with entered operation data. The system includes an analysis display module, in communication with at least the first UI display module, for displaying sample analysis results.

A system and method for collecting and aggregating data from a plurality of data generating machines. The system includes a plurality of data generating machines each having a transceiver for transmitting data pertaining to a monitored sales event of each of the plurality of data generating machines via at least one of a terrestrial, Internet, satellite, and landline network. At least one first computer receives and cumulatively stores the data transmitted by each of the plurality of data generating machines. At least one second computer is operatively communicable with the at least one first computer and runs at least one application software program that analyzes the data to determine consumer buying habits and/or preferences. Advertising data can be transmitted that provides message content at least partially determined by an analysis of the data.

The present invention relates to a display apparatus comprising a display panel; a controller to analyze input video data into frequency components, and create first and second video data different in the frequency component from each other on the basis of analyzed results; and a panel driver to drive the created first and second video data to be displayed in sequence as images on the display panel. Thus, the present invention provides a display apparatus and a control method thereof, in which first video data and second video data are created by analyzing a frequency component of input video data and output in sequence, thereby decreasing a motion blur through a simple operation without hardware change.

A system for testing middleware of applications in the N-tiered model. The test system contains test code generators, test engines to execute multiple copies of the test code and a data analyzer to analyze and present the results to a human user. The system is able to automatically generate test code to exercise components of the middleware using information about these components that would otherwise be available to the application under test. Multiple copies of the test code are executed in a synchronized fashion. Execution times of multiple events are recorded and then presented in one of several formats. With the system, an application developer can identify components that represent performance bottlenecks or can gather information on deployment properties of individual components that can be used to enhance the performance of the application under test.

The present invention is a complete solution for mission critical facilities to create a safe environment and energy efficient CRAC system. The invented system collects mission critical facility volume environmental and energy data in real time, and uses big data analytics to provide adaptive group control to CRACs. The data is visualized in 2D and 3D graphs, dashboard, history curves and reports locally and through the cloud. The present invention also provides user management to allow authorized users to view and control the racks/servers owned or rented by these users. The present invention is comprised of four companion patents: 1) A Battery-powered Wireless Long Life Temperature and Humidity Sensor Module, 2) An Intelligent Multi-channel Wireless Data Acquisition Gateway, 3) Mission critical facility Three Dimension Temperature Contour Generator, and 4) An Adaptive Automatic CRAC Master Control Method.

An improved storage controller that enables the acceleration of datacenter software, by making it easier to deploy application software portions (applets) onto storage devices, in a manner that best supports runtime performance acceleration of storage-network-latency-throttled applications. Means are defined for how server hosted applications cause to have provisioned, initiate execution of, and work with a multitude of applets on a multitude of storage devices, proximate to storage contents. This invention supports the multi-exabyte growth of data storage, by scaling performance acceleration linearly with the growth in the number of storage devices. This in turn supports the evolving cloud and Enterprise Cognitive Computing datacenter by providing the infrastructure necessary for accelerating applications that face enormous heterogeneous datasets. This includes Big Data Analytics of problems that have eluded successful analysis.

The present invention is based on the encoding of sequential data or sequences in a novel manner that permits efficient storage and processing of sequential data, as well as methods for searching sequences or databases of sequences. The methods and systems of the current invention may be adapted broadly to various fields of application and to a variety of sequences types. For example, the current invention has broad application including to the fields of bioinformatics, molecular biology, pharmacogenomics, phonetic sequences, lexicographic sequences, signal analysis, game playing, law enforcement, biometrics, medical diagnosis, equipment maintenance and micro-array data analysis.

The present invention relates to a method and apparatus of utilizing an eye detection apparatus in a medical application, which includes calibrating the eye detection apparatus to a user; performing a predetermined set of visual and cognitive steps using the eye detection apparatus; determining a visual profile of a workflow of the user; creating a user-specific database to create an automated visual display protocol of the workflow; storing eye-tracking commands for individual user navigation and computer interactions; storing context-specific medical application eye-tracking commands, in a database; performing the medical application using the eye-tracking commands; and storing eye-tracking data and results of an analysis of data from performance of the medical application, in the database. The method includes performing an analysis of the database for determining best practice guidelines based on clinical outcome measures.

An image forming apparatus that processes image data using plural processors that operate in parallel includes an image-data receiving section that receives inputted image data, a layout analyzing section that analyzes a layout structure including a predetermined area on the basis of the image data received by the image-data receiving section, a processing-amount calculating section that calculates a processing amount for the predetermined area in the layout structure of the image data analyzed by the layout analyzing section, and a processing-processor determining section that allocates, in processing for all areas in the layout structure analyzed by the layout analyzing section, processing for the predetermined areas to any one of the plural processors on the basis of the processing amount calculated by the processing-amount calculating section.

Distributed mechanisms are provided for collecting neuro-response data from subjects exposed to the stimulus material in multiple settings. Stimulus material may include marketing and entertainment materials. Neuro-response data collection mechanisms such as Electroencephalography (EEG) and Electrooculography (EOG) are used to collect data from subjects in laboratory and corporate settings. Neuro-response data is transmitted over a network to a data analyzer. The neuro-response data is processed at the data analyzer and effectiveness data for the stimulus material is received.

A recording medium which is readable by a computer stores a performance analyzing program for searching for a node that is peculiar in performance in a cluster system, as well as unknown problems. The performance analyzing program enables the computer to function as various functional units. A performance data analyzing unit collects performance data of nodes which make up the cluster system from performance data storage unit for storing a plurality of types of performance data of the nodes, and analyzes performance values of the nodes based on the collected performance data. A classifying unit classifies the nodes into a plurality of groups by statistically processing the performance data collected by the performance data analyzing unit according to a predetermined classifying condition. A group performance value calculating unit statistically processes the performance data of the respective groups based on the performance data of the nodes classified into the groups, and calculates statistic values for the respective types of the performance data of the groups. A performance data comparison display unit displays the statistic values of the groups for the respective types of the performance data for comparison between the groups.

In a data collection apparatus mounted on a vehicle, an electric control unit sets an abnormality detection condition to detect abnormality of the vehicle based on a condition signal received from an external apparatus located outside the vehicle. The electric control unit determines whether the detection condition is satisfied and stores vehicle control data or vehicle behavior data upon satisfaction of the detection condition as freeze data. The abnormality of the vehicle is analyzed using the freeze data.

Embodiments of the invention provide data management solutions that go beyond the traditional warehousing system to support advanced analytics. Furthermore, embodiments of the invention relate to systems and methods for extracting data from an existing data warehouse, storing the extracted data in a reusable (intermediate) form using data parallel and compute parallel techniques over cloud, query processing over the data with/without compute parallel techniques, and providing querying using high level querying languages.

An interactive and dynamic data analysis tool that helps interactive analysis in real time on medium size datasets having complex structure is described. In one aspect, the data analysis tool is capable of being configured to act as a data producer tool arranged to provide a data source. The data analysis tool can also be configured as a data consumer tool capable of receiving and processing a particular data source. The data source tool and the data consumer tool are connected together to form a framework that takes the form of a data mapping context that mediates the data provided by the data source and a particular data role.