2112 results about "Data analysis system" patented technology

A primary graphical input device such as a scroll bar or slider is displayed in order to allow graphical input and adjustment of at least one parameter, such as the page number of a displayed document in a word-processing program or a range value in a data visualization routine. Whenever a user activates the graphical input device, the user may set and change the parameter not only purely graphically, as in conventional applications, for example by dragging some portion of the primary device by moving a mouse, but also by entering a specific value into the secondary graphical input device, for example, via a keyboard. The invention thus provides an intuitive way for a user to quickly and easily navigate graphical objects not only by using pointing devices, but also by entering alphabetic or numeric input, all while maintaining the inherent advantages of “point and click” graphical displays.

A data analysis system with dynamic information extraction and self-organizing evidence construction finds numerous applications in information gathering and analysis, including the extraction of targeted information from voluminous textual resources. One disclosed method involves matching text with a concept map to identify evidence relations, and organizing the evidence relations into one or more evidence structures that represent the ways in which the concept map is instantiated in the evidence relations. The text may be contained in one or more documents in electronic form, and the documents may be indexed on a paragraph level of granularity. The evidence relations may self-organize into the evidence structures, with feedback provided to the user to guide the identification of evidence relations and their self-organization into evidence structures. A method of extracting information from one or more documents in electronic form includes the steps of clustering the document into clustered text; identifying patterns in the clustered text; and matching the patterns with the concept map to identify evidence relations such that the evidence relations self-organize into evidence structures that represent the ways in which the concept map is instantiated in the evidence relations.

A content and data analysis method for evaluating and improving a website, by accessing the website to be analyzed, analyzing the content and data associated with the website, scoring the website based on a multitude of criteria, generating suggestions for improving the website, and implementing changes and improvements to the website. An electronic content and data analysis system and software program including an accessing mechanism for viewing the website to be analyzed, an analyzing mechanism for reviewing the content and data associated with the website, a scoring mechanism for attributing scores to the website based on a multitude of criteria; a generating mechanism for providing suggestions for improving a website; and an editing mechanism for implementing changes and improvements to a website is disclosed.

We describe a system to optimize performance of a mobile phone network towards a performance goal. The system receives performance data comprising aggregated data for a plurality of calls and commissions measurement data comprising data logged for a plurality of mobile phones, and outputs data for changing a configuration of said network. The system includes a performance monitoring system; a measurement data request system, wherein measurement data is selectively commissioned in response said performance mismatch; a measurement data analysis system to analyze the commissioned measurement data to determine a probable cause of said mismatch, and to provide analysis data identifying the probable cause; and an action determination system to receive said analysis data and to output action data dependent on the analysis data, the action data identifying one or more configuration changes to be made to the mobile phone network to reduce the mismatch.

A data analysis system that includes an information mining engine for extracting structured data from unstructured data, a data store for storing the extracted structured data, data received from third party data sources, and data received from sensors monitoring insured property is described. The system also includes a business logic processor that synergistically analyzes the structured data extracted by the text mining engine, the data received from the sensor, and the data received from the third party data source to make an insurance evaluation.

A data import system enables access to data of multiple types from multiple data sources of different formats and provides an interface for importing data into a data analysis system. The interface enables a user to customize the formatting of the data as the data is being imported into a data analysis system. A user may select first user defined options for operating on a first data set received during a data importation process. An intermediate representation of the data set is generated based on the user first defined options. A user may specify second user defined options based on the intermediate representation during the data importation process. The second user defined options are processed to produce a final data representation of the data set to be used for analysis of the data. The intermediate representation may be a data table. The processing of a data set may include merging a first and second data set to produce the final data representation. The second user defined options may enable a user to select a basic operation for merging the data sets or to select a non-basic operation for merging the data sets. The basic operation may combine data sets in response to a user's selection of a first graphical interface control, and the non-basic operation may combine the data sets based on user selection of at least two graphical interface controls from a group of graphical interface controls.

A system and method for analyzing entertainment venue data for improved venue management, comprising conventional computer hardware and including compatible software application for compiling and manipulating event consumer and sales data as well as third party consumer demographic data, including classification of event data into a plurality of event-type clusters, correlation of consumer data and event cluster data, and performing manipulations of said data in response to user queries and displaying query results. In a preferred embodiment, associative query logic database technology is used to create a data cloud of event venue consumer and sales data as well as third-party sourced demographic data.

The present disclosure is directed toward global medical data analysis methods, systems, and computer program products for analyzing, classifying, and matching mass amounts of medical information from many sources and across different regions. The global medical data analysis system includes a medical main server that contains an intelligent medical engine, which is communicatively coupled to a central database, a confidential electronic medical records database, and further communicatively coupled through a network to hospitals, clinics, and other medical sources. The intelligent medical engine receives voluminous medical record, potentially from different countries, regions, and continents. Electronic Medical records are sourced from hospitals, clinics, and other medical sources, which are fed into the intelligent medical engine for large-scale analysis and correlation of patients' medical records globally. The analysis starts by degrouping (classifying) medical records into multiple levels of subgroups according to patient clinical parameters, disease templates, treatments and outcomes. When a new patient enters the system, that patient's parameters and disease template are matched against the closest subgroups to suggest treatments with potentially favorable outcomes.

Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as “summaries” or “conclusions”) of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.

Disclosed is a derma diagnostic and automated data analysis system configured to acquire an array of data pertaining to a subject and their skin disorders. This data is subjected to a comprehensive analysis that culminates in diagnoses, treatments, monitoring activity and health strategy implementation. The derma diagnostic and automated data analysis system comprises a user interface and display unit, capable of acquiring a range of subject data, and communicatively coupled to a remotely located data analysis and reporting unit. The data analysis and reporting unit is capable of receiving and assessing the acquired data, using multiple analytical processes that culminate in a highly probable diagnosis and an effective treatment that is documented in a report and submitted to the subject. The diagnoses, treatments and supporting data are then permanently archived and made available for retrieval.

A data analysis system allows users to interact with distributed data structures stored in-memory using natural language queries. The data analysis system receives a prefix of a natural language query from the user. The data analysis system provides suggestions of terms to the user for adding to the prefix. Accordingly, the data analysis system iteratively receives longer and longer prefixes of the natural language queries until a complete natural language query is received. The data analysis system stores natural language query templates that represent natural language queries associated a particular intent. For example, a natural language query template may represent queries that compare two columns of a dataset. The data analysis system compares an input prefix of natural language with the natural language query templates to determine the suggestions. The data analysis system receives user defined metrics or attributes that can be used in the natural language queries.

The invention discloses a simulation experimental system for controlling a mine tunnel dust environment, which comprises a simulation tunnel, a ventilation system, a dust generating system, a temperature and humidity controlling system, a water supplying and draining system, a dust removing system, a signal detecting system, and a computer controlling and data analyzing system, wherein the simulation tunnel is connected with the ventilation system, the dust generating system and the temperature and humidity controlling system in the tunnel to simulate the temperature, humidity, wind speed, air pressure and dust concentration parameters in the mine, and is connected with the water supplying and draining system and the dust removing system to spray and remove dust passing through the tunnel. The signal detecting system provides related data information for the computer controlling and data analyzing system. The simulation experimental system is similar to a DC-blowing-type wind channel in a small-scale mine environment. An area in which air flows uniformly is created in the tunnel. By using the demarcated flow field, various scientific research activities related to mine dust detection, dust prevention, and the like can be performed.

A process condition measuring device and a handling system may be highly integrated with a production environment where the dimensions of the process condition measuring device are close to those of a production substrate and the handling system is similar to a substrate carrier used for production substrates. Process conditions may be measured with little disturbance to the production environment. Data may be transferred from a process condition-measuring device to a user with little or no human intervention.

Abstract: An EIT system (1) adapted to detect internal bleeding in a body portion, the EIT system (1) comprising a plurality of electrodes (3) adapted in use to extend in a substantially linear orientation across one side only of the body portion and to be applied in electrical contact with the skin of the body portion, a current source adapted to cyclically apply an electric current between one pair of the electrodes (3), a voltage measuring means to measure the voltage across each of the other pairs of the electrodes resulting from the current, a data collection system (2) and a data analysis system (4) to analyse data resulting from the voltages that are measured by the voltage measuring means, wherein the analysis system (4) is configured to obtain quantitative information related to amounts and rates of conductive tissue changes occurring in the body, based on an EIT analysis equivalent to that obtained from data derived from electrodes spaced around the full perimeter of the body portion. Also disclosed is an electrode belt suitable for bioelectrical use and in particular for detection of change of volume of tissue in a body portion.

A data analysis system for performing an analytic to obtain an analytic result in a computing device having memory including a data analyzer interface, at least one interlocking trees datastore within the associated memory, and at least one analytic application executed. The data analysis system of the invention also includes a plurality of interlocking trees datastores wherein the at least one interlocking trees datastore is selected from the plurality of interlocking trees datastores in accordance with the data analyzer interface. The system can include a plurality of data sources wherein the at least one interlocking trees datastore is created from a data source selected from the plurality of data sources in accordance with the data analyzer interface. The at least one interlocking trees datastore further can be a static interlocking trees datastore or a dynamic interlocking trees datastore. The at least one interlocking trees datastore continuously records new data.

The invention relates to an electric energy information acquisition integrated platform, which includes a field terminal layer, a communication network layer, and a master station application layer. The field terminal layer can realize collection and remote transmission of field data in terms of different user types classified according to field user characteristics. The communication network layer can realize remote data transmission and load control administration by using hybrid networking technology. The master station application layer includes a database system, a front end processor system, an operation master station, a data analysis system, a WEB system, an automatic task system, and an external interface system; and can realize comprehensive electric energy information acquisition of six types of objects including an upper gateway, a lower gateway, a distribution / transformation gateway, high voltage users, lower voltage users and resident users, and realize operational administration and data analysis application function. The invention can realize metering of overall process including online of a power plant, power transmission / transformation, power distribution, and transmission to user, and information concentration acquisition, integrated storage management and distributed application of an examination gateway in an integrated platform.

In one embodiment of the invention, methods and systems are provided for high thoughput genotyping. The system includes an automated sample preparation system, a sample tracking system, automated array processing and system for data analysis.

Computer-implemented methods, computer program products, and systems are disclosed for analyzing electrocardiogram (ECG) traces or other types of signals. In one aspect, a computer-implemented method of performing such an analysis on an ECG trace includes defining a match region within an ECG signal template comprising one cardiac cycle. The match region comprises a portion of the ECG signal template that is shorter than the entire template. The method also includes performing a similarity comparison analysis on an ECG trace. The similarity comparison analysis includes, for at least one cardiac cycle within the ECG trace, a comparison of the defined match region to a corresponding region of the cardiac cycle of the ECG trace to determine a degree of similarity between the defined match region and the corresponding region of the cardiac cycle of the ECG trace. The method also includes producing a results output based upon the similarity comparison analysis.

A wireless telecommunications network uses a wireless location technology to determine the locations of mobile stations. As part of a location accuracy analysis process, the wireless location technology is used to obtain a measured latitude and longitude for a mobile station located at a test site having a known latitude and longitude. A data analysis system calculates the radial location error, expressed as a distance, between the measured and known latitude and longitude values. The process is repeated a number of times sufficient to calculate the mean radial location error to within a predetermined uncertainty at a predetermined confidence level.

The present disclosure is directed toward global medical data analysis methods, systems, and computer program products for analyzing, classifying, and matching mass amounts of medical information from many sources and across different regions. The global medical data analysis system includes a medical main server that contains an intelligent medical engine, which is communicatively coupled to a central database, a confidential electronic medical records database, and further communicatively coupled through a network to hospitals, clinics, and other medical sources. The intelligent medical engine receives voluminous medical record, potentially from different countries, regions, and continents. Electronic Medical records are sourced from hospitals, clinics, and other medical sources, which are fed into the intelligent medical engine for large-scale analysis and correlation of patients' medical records globally. The analysis starts by degrouping (classifying) medical records into multiple levels of subgroups according to patient clinical parameters, disease templates, treatments and outcomes. When a new patient enters the system, that patient's parameters and disease template are matched against the closest subgroups to suggest treatments with potentially favorable outcomes.

The invention discloses an advertisement injecting effect evaluation and intelligent push decision method based on face identification and big data analysis. The advertisement injecting effect evaluation and intelligent push decision method comprises a face identification technology is employed to obtain face feature data of the audience group, and the data is introduced into an advertisement injecting effect evaluation module as parameters, and is used for quantifying the advertisement injecting effect; furthermore, historical data is stored in a database, a data analysis system can carry out further analysis, the analysis result can be provided for the advertiser as an injecting decision reference, and can also be provided for the advertising agency who can carry out reasonable bidding and charging on the advertising position. At the same time, an FAEM matching algorithm is employed to match the advertisement played at present with audience face feature data at present, and advertisement push is carried out in dependence on the matching result. According to the invention, accurate evaluation of the advertisement injecting effect can be given out scientifically and objectively, and advertisements can be injected selectively and intelligently in dependence on audiences of the advertisements.

An apparatus for visualizing physical movements includes:a device for acquiring video image files;a data analysis system including processor and memory;a computer program operating in the processor to identify an area in the images where periodic motions associated with physical movement of an object may be detected and quantified, and compute a new image sequence in which the motions are visually amplified; and,a user interface that displays the motion-amplified video image of the mechanical component.An associated method for using the apparatus is also disclosed.

The invention discloses a driving path planning method for vehicle navigation. The method comprises a road cutting system, a driving time computing system and a driving path optimization system. The method is characterized in that the road cutting system comprises a data analysis system and a driving scheme planning system, and cutting the driving path into traffic lights, crossroads and road sections which are formed by using places where the speed limit, driveway number and road name change as the nodes; the vehicle driving path is composed of the road sections, and the road sections in the driving path are numbered; when traffic jams, traffic accidents, road blocks and other conditions appear in the driving path, the real-time traffic conditions change, and the original planned path is possibly not the fastest path; and the path is replanned to select the fastest path as the optimal driving path, thereby enhancing the navigation efficiency and saving the time.

System and method for data quality management and control of heterogeneous data systems. In a preferred embodiment, the system functions as a resource management tool that simplifies the process of managing data systems. More specifically, the system provides connections to source data systems, allows users to view data structures and enables simple management and manipulation of data contained within possibly heterogeneous data systems. The system utilizes an advanced graphical user interface, which allows users to access and manage systems using a simple point and click methodology. The system uses portals, which are tools that collect, visualize, analyze and directly edit data sets associated with different data sources. In another aspect, the system keeps track of its operational status, allowing users to automatically reproduce in one logon session work done in the previous session, without the need to replicate previous data analysis. Various additional features of the system and methods are disclosed and illustrated.

A system for analyzing data from a data set is disclosed. The system includes analysis logic responsive to a dimensional analysis control and an attribute analysis control for the same data. This logic can incrementally update the state of a data presentation from an existing state to a new state, and then remain responsive in the new state to further user input via the dimensional data analysis control and further user input via the attribute analysis control to further incrementally update the presentation.

A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.

A method of operating a data analysis system includes retrieving objects from a data source. Each of the retrieved objects includes (i) data and (ii) metadata describing the data. The method further includes dynamically creating a cumulative schema by, for each object of the retrieved objects: (i) inferring a schema from the object based on the metadata of the object and inferred data types of elements of the data of the object, (ii) creating a unified schema, wherein the unified schema describes both (a) the object described by the inferred schema and (b) a cumulative set of objects described by the cumulative schema, and (iii) storing the unified schema as the cumulative schema. The method further includes exporting the data of each of the retrieved objects to a data warehouse.

A measuring device incorporating a substrate with sensors that measure the processing conditions that a wafer may undergo during manufacturing. The substrate can be inserted into a processing chamber by a robot head and the measuring device can transmit the conditions in real time or store the conditions for subsequent analysis. Sensitive electronic components of the device can be distanced or isolated from the most deleterious processing conditions in order increase the accuracy, operating range, and reliability of the device. Isolation may be provided by vacuum or suitable material and phase change material may be located adjacent to electronics to maintain a low temperature.