1663 results about "Raw data" patented technology

A system for analyzing sensor data output from a mobile communications appliance to adjust insurance premiums for consumers includes an Internet-connected server; and software executing on the server from a non-transitory physical medium, the software providing a first function for collecting raw data from the mobile communications appliance, a second function for analyzing the raw data in light of results of previous data analyses, and a third function for adjusting a standing insurance premium rate associated with the mobile communications appliance.

A system and method for “on-the-fly” de-duplication of data before storing the data in a storage system is provided. A data de-duplication module illustratively cooperates with protocol servers and a file system of a storage operating system executing on the storage system to implement the novel de-duplication technique. The de-duplication module illustratively generates a block store, an index file and a hash table on storage space provided by the storage system. The hash table is utilized for tracking fingerprints and locations of blocks within the block store. The index file is utilized for storing directory information identifying the contents of data containers stored on the storage system, while the block store is utilized to store raw data blocks that comprise the data containers.

A system and method for searching information from a database using a natural language. In one embodiment, the system analyzes a natural language search request and converts the search request into one or more search words. The search words are further converted into a string of bytes, and a subset of a target database, referred to as the datasoup, is searched. If there is a match between the bytes and raw data in the datasoup, the searched data is retrieved from the target database. The searched data is then formatted and provided to a user. Optionally, the searched data can be provided to the user unformatted. In another embodiment, the system includes a system server configured to receive a natural language search request, a core engine coupled to the system server and to the target database, and a system database coupled to the core engine, where the core engine accesses the system database to analyze the search request. The system database stores global rules, one or more preference files, and one or more dictionaries, and the preference file stores information about the user.

A system for analyzing driving performance data is provided. The system and method include one or more devices in electronic communication with a network, the one or more devices including one or more sensors for obtaining raw data associated with operation of a vehicle by a driver. A driving performance engine in electronic communication with the device, the driving performance engine generates one or more granular driving events by defining values of one or more driving parameters by associating the one or more driving parameters to the raw data, compares the one or more granular driving events with one or more similar previous driving events of the driver or other drivers having similar driving parameters and values thereof, normalizes the one or more granular driving events of the driver based on the comparison, and processes the one or more granular driving events using the driving performance engine and one or more statistical models to calculate a performance or risk value for the driver.

A system for the collection, management, and dissemination of information relating at least to a medical procedure is disclosed. The system includes a user interface adapted to provide raw data information at least about one of a patient, the medical procedure, and a result of the medical procedure. A medical device communicates with the user interface, receives the raw data information from the user interface, and generates operational information during use. A central database communicates at least with the medical device and receives data from the medical device. The central database is used to create related entries based on the raw data information and the operational information and optionally transmits the related entry to the medical device or the medical device user. The related entry includes information that provides guidance based on previously tabulated, related medical procedures. A system for the iterative analysis of medical standards is also disclosed along with methods for the evaluation of medical procedures and standards.

The data security method, system and associated data mining enables multiple users, each having a respective security clearance level to access security sensitive words, data objects, characters or icons. The method extracts security sensitive words, data objects, characters or icons from plaintext or other source documents to obtain (a) subsets of extracted data and (b) remainder data. The extracted data is, in one embodiment, stored in a multilevel security system (MLS) which separates extract data of different security levels with MLS guards. Some or all of the original data is reconstructed via one or more of the subsets of extracted data and remainder data only in the presence of a predetermined security level. In this manner, an inquiring party, with the proper security clearance, can data mine the data in the MLS secured storage.

Methods, computer systems, and computer readable media for transforming raw healthcare data into relevant healthcare data are provided. Transformation of raw healthcare data into relevant data is accomplished by receiving raw data from a plurality of disparate data sources, indexing the data, and mapping the data. Embodiments transform raw data into relevant data through the use of natural language processing, synonymy and ontology mapping, and adaptive knowledge processing. The relevant data is stored in a one record that includes information necessary to understand and represent that patient.

Arrangements for collecting, analyzing, consolidating and delivering consolidated and enhanced data from a plurality of sources relating to a current event, to a third party, and reserving the consolidated and enhanced data for internal use so as to create a commercial proactive emergency management and disaster response information system that can also be used for emergent commercial purposes. A data capture device associated with an individual or a location captures data related to a current event or affected site. Incoming data may include raw data, repackaged data, or value-added data from source inputs. Captured data is sent to a centralized command center or distributed command centers where it is analyzed, resolved, correlated and repackaged for use by other parties.

Systems, methods and computer readable media for performing a domain-specific metasearch, and obtaining search results therefrom. A metasearch engine capable of accessing generic, web-based search engines and domain-relevant search engines is provided to receive one or more queries inputted by a user, and to search for documents on at least one the generic, web-based search engines and domain-relevant search engines which are relevant to the queries. Raw data search results are fetched in the form of text documents. Relevant data including semantic information are extracted from the raw data search results, and converted to a local format. The relevant data having been converted to the local format may be visualized as a network visualization. Additionally or alternatively, the raw data search results may be ranked and/or filtered based on the linking of the relevant data. Visualization of the raw data having been ranked and/or filtered may be performed in addition to, or alternative to visualization of the network.

A system for advising an exerciser about his physical activities, associated either with displacement of the exerciser itself or of an object displaced by the exerciser, or an object displaced simultaneously with the exerciser. The system comprises a first unit for monitoring the activities. This unit is not in physical contact with the exerciser or the object, displaced by the exerciser. The first unit is capable to collect raw data defining the activities either in terms of distance or acceleration. The first unit transmits the collected raw data in a wireless fashion to a second unit, which receives the transmitted raw data, processes it and calculates various parameters, defining the said physical activities, and represents the calculated parameters in a form recognizable by the exerciser. The system enables tracking, recording and updating the relevant information, provides improved feedback and thus helps to the exercising individual to improve his performances.

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 system for management, correlation and combination of various analysis techniques, or “advisors.” Graphical user interface (GUI) controls and displays are provided to allow a user to configure different aspects of an analysis system. A financial analysis application allows a user to designate instruments whose data points, factors or other relevant data can be pre-processed with indicators. The outputs of the indicators are provided to advisors for calculation and grouping. A user is able to select the types of raw data to use, the instruments, the factors, the data feeds and other sources for data, the indicators that perform processing and the advisors that perform analysis, grouping and outputting of results for combining using machine learning mechanisms. A user can set or adjust other parameters such as modeling frequency, scheduled processing, whether the system is running a simulation or is designed for higher performance execution. These and other characteristics of the system can be saved as a portfolio for later use and adjustment by the user. Other features are described.

Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine data is a product of information-processing systems (e.g., activity logs, configuration files, messages, database records) and represents the evidence of particular events that have taken place and been recorded in raw data format. In one embodiment, machine data is turned into a machine data web by organizing machine data into events and then linking events together.

The invention relates to a method and apparatus for providing information in an easily customizable, interactive and collaborative format. The invention can be looked at as the combination of one or more functional components in one aspect, the invention features aggregating raw data on at least one DataServer connected to a communication network; performing analysis of that data using at least one AnalyticalServer that is connected to the network; maintaining a cache of the most recent data and analysis of that data from the AnalyticalServers on at least one ViewServer connected to the network; maintaining communications with the network for accessibility by users over the network; and maintaining an ApplicationServer on the network that, based either on requests of the user through the web server, or through an automatic refresh, generates display data using, for example, the cached information on the ViewServer. Various manipulations of the data, including, for example, flexibly sorting, movement, aggregation, filtering, charting/graphing, etc. of rows and columns of a display can be effected. The system can also provide redundancy and views of the data can be shared among plural sites.

An efficient method and system to enhance digital acquisition devices for analog data is presented. The enhancements offered by the method and system are available to the user in local as well as in remote deployments yielding efficiency gains for a large variety of business processes. The quality enhancements of the acquired digital data are achieved efficiently by employing virtual reacquisition. The method of virtual reacquisition renders unnecessary the physical reacquisition of the analog data in case the digital data obtained by the acquisition device are of insufficient quality. The method and system allows multiple users to access the same acquisition device for analog data. In some embodiments, one or more users can virtually reacquire data provided by multiple analog or digital sources. The acquired raw data can be processed by each user according to his personal preferences and/or requirements. The preferred processing settings and attributes are determined interactively in real time as well as non real time, automatically and a combination thereof.

Disclosed is a system for detecting security threats in a local network. A security analytics system collects data about entities in the local network. The security analytics system identifies the entities in the raw data and determines a set of properties about each of the identified entities. The entity properties contain information about the entity and can be temporary or permanent properties about the entity. The security analytics system determines relationships between the identified entities and can be determined based on the entity properties for the identified properties. An entity graph is generated that describes the entity relationships, wherein the nodes of the entity graph represent entities and the edges of the entity graph represent entity relationships. The security analytics system provides a user interface to a user that contains the entity graph and the relationships described therein.

The invention relates to a method of updating a data storage system. The method updates a raw database using an input data stream based on an input temporal value associated with the input data stream and a raw temporal value associated with the raw database. The method includes updating a derived database associated with the data storage system using the updated raw database based on the input temporal value, a derived temporal value and a user-defined relationship, the derived temporal value being associated with the derived database. The invention also relates to a computer-readable medium. The computer readable medium including instructions, wherein execution of the instructions by at least one computing device updates a data storage system. The invention further relates to a data storage system. The system includes a raw database, a derived database and a computing device operatively coupled to the raw database and the derived database.

A process is set forth for viewing an enlarged area of an image. The image is stored on a server and re-sized for viewing on a mobile communication device based on screen size and colour display capabilities of the device. The image is enlarged within the server by modifying binary raw data of the original image based on crop rectangle coordinates entered at the mobile communication device. The process allows users to quickly retrieve any relevant part of a large image attachment that has been resized by the server. This minimizes bandwidth usage, device memory/CPU consumption, and request/response latency while still allowing the user to view an image area in its original level of detail.

A module information extraction system capable of extracting information from natural language documents. The system includes a plurality of interchangeable modules including a data preparation module for preparing a first set of raw data having class labels to be tested, the data preparation module being selected from a first type of the interchangeable modules. The system further includes a feature extraction module for extracting features from the raw data received from the data preparation module and storing the features in a vector format, the feature extraction module being selected from a second type of the interchangeable modules. A core classification module is also provided for applying a learning algorithm to the stored vector format and producing therefrom a resulting classifier, the core classification module being selected from a third type of the interchangeable modules. A testing module compares the resulting classifier to a set of preassigned classes, where the testing module is selected from a fourth type of the interchangeable modules, where the testing module tests a second set of raw data having class labels received by the data preparation module to determine the degree to which the class labels of the second set of raw data approximately corresponds to the resulting classifier.