4129 results about "Data class" patented technology

Systems and methods for hosting variable schema data such as dynamic tables and columns in a fixed physical database schema. Standard objects, such as tables are provided for use by multiple tenants or organizations in a multi-tenant database system. Each organization may add or define custom fields for inclusion in a standard object. Custom fields for multiple tenants are stored in a single field within the object data structure, and this single field may contain different data types for each tenant. Indexing columns are also provided, wherein a tenant may designate a field for indexing. Data values for designated fields are copied to an index column, and each index column may include multiple data types. Each organization may also define custom objects including custom fields and indexing columns. Custom objects for multiple tenants are stored in a single custom object data structure. The primary key values for the single custom object table are globally unique, but also include an object-specific identifier which may be re-used among different entities.

A framework enables data source components to be developed independently of data consumer components. A mediation layer, typically implemented as a group of APIs (application programming interface), handles and defines the mediation and interface between the source and data components. The framework, called XIS (extensible information system), is especially suited for development of information-handling systems and applications. Data source components and data consumer components are typically designed to communicate with each other via several interfaces. Domain, relationship, attribute / metadata, and change event interfaces are defined within the mediation layer. Other interfaces may also be defined. Data source components that are written for non-XIS aware environments or frameworks may still be used with XIS by "wrapping" such source components with code to conform to the interface requirements. Java objects are examples of data source components. Data consumer components thus are able to use or consume various source components regardless of the data types and the data source. Thus, once a data consumer component is developed within the XIS framework, any data source components within the XIS framework may be consumed by a data consumer component.

The present invention provides a network system for storage of medical records. The records are stored in a database on a server. Each record includes two main parts, namely a collection of data elements containing information of medical nature for the certain individual, and a plurality of pointers providing addresses or remote locations where reside other medical data for that particular individual. Each record also includes a data element indicative of the basic type of medical data found at the location pointed to by a particular pointer. This arrangement permits a client workstation to download the record along with the set of pointers which link the client to the remotely stored files. The identification of the basic type of information that each pointer points to allows the physician to select the ones of interest and thus avoid downloading massive amounts of data where only part of that data is needed at that time. In addition, this record structure allows statistical queries to be effected without the necessity of accessing the data behind the pointers. For instance, a query can be built based on keys, one of which is the type of data that a pointer points to. The query can thus be performed solely on the basis of the pointers and the remaining information held in the record.

An apparatus and method defines a markup language for accessing data in a database. The markup language is preferably defined in extensible markup language (XML) by creating suitable document type definitions (DTDs), which define the grammar for accessing data in the database using the markup language. A bridge interprets the data request from the client in markup language format, a suitable database query for the database is formulated, and the data is then placed within a document for delivery in markup language format to the user. As new data types are added to the database, corresponding document type definitions (DTDs) may be dynamically generated, allowing a user to access new kinds of data in a database with a software tool that has a user-friendly graphical user interface without having to manually update the software tool for each new data type that is added to the database.

The information management system disclosed enables caregivers to make better decisions, faster, using aggregated genetic and phenotypic data. The system enables the integration, validation and analysis of genetic, phenotypic and clinical data from multiple subjects who may be at distributed facilities. A standardized data model stores a range of patient data in standardized data classes that encompass patient profile information, patient symptomatic information, patient treatment information, and patient diagnostic information including genetic information. Data from other systems is converted into the format of the standardized data classes using a data parser, or cartridge, specifically tailored to the source system. Relationships exist between standardized data classes that are based on expert rules and statistical models. The relationships are used both to validate new data, and to predict phenotypic outcomes based on available data. The prediction may relate to a clinical outcome in response to a proposed intervention by a caregiver. The statistical models may be inhaled into the system from electronic publications that define statistical models and methods for training those models, according to a standardized template. Methods are described for selecting, creating and training the statistical models to operate on genetic, phenotypic and clinical data, in particular for underdetermined data sets that are typical of genetic information. The disclosure also describes how security of the data is maintained by means of a robust security architecture, and robust user authentication such as biometric authentication, combined with application-level and data-level access privileges.

Conventional file-based engineering design data for an engineering model are represented by a plurality of components. Each component has a unique identifier, a set of fields, each field having a data type and a data value, and a program which interprets and modifies the fields. The plurality of components are stored in a repository of a server. The repository also stores a history of any changes made to the components. A plurality of client computers are bidirectionally connected to the server. Each client computer may obtain the current version of the components and may send locally edited versions of the components back to the server to replace the current versions in the repository. At the client computer, the user interacts with the components using conventional file-based software. Before locally edited versions of the components are committed to the server to replace the current versions, a synchronization and merging process occurs whereby the latest version of the components are downloaded to the client computer and are compared to the locally edited version of the components to detect resolvable (compatible) and unresolvable (incompatible) conflicts therebetween. The commit process is performed only if no unresolvable conflicts exist between the two versions of the components. To facilitate translation between file-based data and components, a schema is written to "wrap" each of the engineering file formats. Each schema is a set of classes that capture all of the information in the file-based data.

Systems and methods for automatically and generically matching models are provided, such as may be provided in a matching application or matching component, or provided in a general purpose system for managing models. The methods are generic since the methods apply to hierarchical data sets outside of any particular data model or application. Similarity coefficients are calculated for, and mappings are discovered between, schema elements based on their names, data types, constraints, and schema structure, using a broad set of techniques. Some of these techniques include the integrated use of linguistic and structural matching, context dependent matching of shared types, and a bias toward subtree, or leaf, structure where much of the schema content resides.

The present invention provides a data processing system and a method of assessing the data value of a data assets inventory which comprises:a) preparing a data map on a computer database comprising inputting data types and data subtypes into said database, connecting a data storing location to the data subtypes and recording the data subtype occurrences in said database;b) assigning a weighting to each data subtype occurrence in said database to provide a data assets inventory and recording the data assets inventory in said database;c) preparing evaluation types on said database wherein the evaluation type has a calculation type attribute and wherein the evaluation type is either quantity independent or quantity dependent;d) connecting at least one evaluation type to each data subtype with a reference value and recording the reference value in said database;e) determining the data value of the data assets inventory and recording the data value in said database wherein when the evaluation type is quantity dependent then the value is the product of the weighting, the reference value and the quantity at the data storing location for each data subtype occurrence or wherein when the evaluation type is quantity independent then the value is the product of the weighting and the reference value for each data subtype occurrence.

Systems and methods that improve search rankings for a search query by using data associated with queries related to the search query are described. In one aspect, a search query is received, a related query related to the search query is determined, an article (such as a web page) associated with the search query is determined, and a ranking score for the article based at least in part on data associated with the related query is determined. Several algorithms and types of data associated with related queries useful in carrying out such systems and methods are described.

A flash drive has increased endurance and longevity by reducing writes to flash. An Endurance Translation Layer (ETL) is created in a DRAM buffer and provides temporary storage to reduce flash wear. A Smart Storage Switch (SSS) controller assigns data-type bits when categorizing host accesses as paging files used by memory management, temporary files, File Allocation Table (FAT) and File Descriptor Block (FDB) entries, and user data files, using address ranges and file extensions read from FAT. Paging files and temporary files are never written to flash. Partial-page data is packed and sector mapped by sub-sector mapping tables that are pointed to by a unified mapping table that stores the data-type bits and pointers to data or tables in DRAM. Partial sectors are packed together to reduce DRAM usage and flash wear. A spare / swap area in DRAM reduces flash wear. Reference voltages are adjusted when error correction fails.

An information processing apparatus which drives a plurality of driving units according to data to be processed includes a first unit which detects a type of the data to be processed and a second unit which controls each of the plurality of driving units according to the type of the data to be processed. Power save control information and names of devices applied to the power save control are read from a predetermined power save mode table according to the detected type of the data and a power save operation is executed for the driving units according to the power save control information.

A hierarchal data management system for a storage device includes an entity relationship discover to generate meta data from a business object, a file manager to create a partition based on the metadata, a data mover to generate a logical partitioning key and to store the logical partitioning key in the metadata for the partition. The file manager includes a data management policy to define a data class and a storage policy to map the data class to the storage device to form a partition table.

A method for recording a sequence of user actions made when interfacing with objects associated with an executable code is provided. In this method, a selection of a level of detail to record when user actions enable interfacing with the objects associated with the executable code is enabled. Subsequently, the sequence of user actions is recorded. The recorded sequence of user actions is defined by the selected level of detail. Thereafter, the recorded sequence of user actions is parsed by applying rules that enable the generation of a defined number of data types. The data types are capable of being utilized by an application that is designed to generate information that is related to one or more of the data types.

A virtual web-based computing platform combining a particular network database hierarchy, graphical user interface, and integrated suite of computational tools accessible on demand, by which users gain access to an integrated Virtual Workspace for organizing emails, contacts, bookmarks, tasks, documents, notes, and all other relevant information. The network database hierarchy employs unique data structure and methods, allowing the user to centrally store and manage all data, regardless of type, as well as activities (actions taken and documented by the user). Nevertheless, the interface to said database offers a familiar folder / sub-folder “look and feel” using a tree data hierarchy, which gives a common, centralized and unified approach for storing, managing, displaying, and various types of data, regardless of object- and data-types.

A system and method for parsing an electronic media database structure to produce tagged data that preserves the content, links, and electronic media structure. In particular, HyperText Markup Language (HTML) data is generated as an Interactive Electronic Technical Manual (IETM) (home page) linked into a relative structure of Web pages to support IETM deployment. An extraction process assesses the functionality associated with each node designated for presentation and builds a virtual Web, based on attributes stored in the IETM database. A series of Web pages with links that hierarchically presents IETM data at run time is produced. The method supports a data warehousing strategy that converts any data type eligible within the relational database. This expands support across multiple types of technical and engineering data. The preferred implementation utilizes a relative addressed pure HTML solution viewable in standard Web browsers. This open system implementation is cross platform and infrastructure independent, requiring no special server software. Retaining the hierarchical structure dictated by the relational database in HTML output enhances the supportability and maintainability of the Web implementation. Updates to this Web implementation can be incrementally applied within the hierarchy (small sections of data) or the entire logical sections of Web data.

Methods for training machines to categorize data, and / or recognize patterns in data, and machines and systems so trained. More specifically, variations of the invention relates to methods for training machines that include providing one or more training data samples encompassing one or more data classes, identifying patterns in the one or more training data samples, providing one or more data samples representing one or more unknown classes of data, identifying patterns in the one or more of the data samples of unknown class(es), and predicting one or more classes to which the data samples of unknown class(es) belong by comparing patterns identified in said one or more data samples of unknown class with patterns identified in said one or more training data samples. Also provided are tools, systems, and devices, such as support vector machines (SVMs) and other methods and features, software implementing the methods and features, and computers or other processing devices incorporating and / or running the software, where the methods and features, software, and processors utilize specialized methods to analyze data.

Systems and methods that improve search rankings for a search query by using data associated with queries related to the search query are described. In one aspect, a search query is received, a population associated with the search query is determined, an article (such as a webpage) associated with the search query is determined, and a ranking score for the article based at least in part on data associated with the population is determined. Algorithms and types of data associated with a population useful in carrying out such systems and methods are described.

A method and system for persisting an object in a relational database schema by creating a new relational table at application program run-time for each class of objects to be persisted. The method may generate a schema map object for each class of objects to be persisted. The schema map object may be generated in response to the first transaction in which an object of a certain class is to be persisted and remains in memory for persisting, querying, restoring or deleting objects of that class. The schema map object determines the fields of each class of objects to be persisted, defines one or more columns in the table in accordance with the data types of the fields, and controls the passing of data between the table and the object fields.

A system and method describing a compatibility server for rehosting database applications written for a specific vendor's database on the database of a second vendor, without the need of rewriting the application to take into account differences in the application programming interfaces between the first vendor's database and the second vendor's database. Requests for access to the database are translated from one format to another at execution time. The server is also capable of translating error messages, data types and data formatting from the format used by the second database to that expected when making requests to the first database. Stored procedures defined in the first database are migrated to the second database as text blocks, and are translated at execution time into a high level programming language, compiled and executed against the second database. All information necessary for the mapping of schema, data, data types, error and status messages and data formatting, as well as information necessary to execute stored procedures, is stored in a plurality of metadata tables in the second database, which are created during a migration phase prior to executing the application.

The application discloses a data storage and query method and device based on a block chain. The method comprises the following steps: after receiving a service request sent by a user, a block chain node can resolve each data category and service data corresponding to each data category from the service request, and stores the resolved service data in a database corresponding to the block chain node according to a corresponding relation of the data category and the service data. By resolving the service data, the service data can be stored to the database corresponding to the block chain node according to the corresponding relation between the data category and the service data; therefore, the user can realize the query based on the corresponding relation in the database when querying the service data, a problem existent in the query based on the query in the existing block chain is avoided, the flexibility of the data query in the block chain is increased, and the data query efficiency is effectively improved.

A relativity controller is a scroll bar / window combination that provides a way to see data in relation to both the context of its wholeness and the salience of its contents. To accomplish this, the linear density or other appearance of the scroll bar (acting as a ruler or scale) varies with the density of the document salience (as indicated by different kinds of annotations or marks). It also provides a way to zoom between perspectives. This is usable on many different data types: including sound, video, graphics, calendars and word processors.

The invention provides methods and apparatus supporting a multi-pass video structure for slice data. An apparatus includes an encoder (300) for encoding at least one syntax data element related to at least two partitions of at least a portion of a picture. The at least one syntax element is encoded within a multi-pass syntax structure. The at least one syntax element belongs to a given class of data. The encoder (300) encodes the at least one syntax data element with respect to all partitions of at least the portion of the picture prior to encoding a next class of data, wherein later coded data classes, including the next class, have at least one of an explicit coding and an implicit coding of at least one of a casual dependency and a non-casual dependency with respect to earlier coded data classes coded earlier than the next class.

A computer implemented system and method provides a volume of activation (VOA) estimation model that receives as input two or more electric field values of a same or different data type at respective two or more positions of a neural element and determines based on such input an activation status of the neural element. A computer implemented system and method provides a machine learning system that automatically generates a computationally inexpensive VOA estimation model based on output of a computationally expensive system.

This patent concerns novel technology for detection of zero-day data classes for domains with high-dimensional mixed continuous / discrete feature spaces, including Internet traffic. Assume there is a known-class database available for learning a null hypothesis that a given new batch of unlabeled data does not contain any data from unknown / anomalous classes. A novel and effective generalization of previous parsimonious mixture and topic modeling methods is developed. The novel unsupervised anomaly detector (AD) acts on a new unlabeled batch of data to either identify the statistically significant anomalous classes latently present therein or reject the alternative hypothesis that the new batch contains any anomalous classes. The present AD invention can be applied in an on-line setting. Labeling (by a human expert or by other means) of anomalous clusters provides new supervised data that can be used to adapt an actively learned classifier whose objective is to discriminate all the classes.

The invention is high performance Syslog log processing and storing method, and the steps are: (1) receiving log: log sever software receives the syslog data message by separated thread running method via bound UDP port (514), and the data message is generated into data class of syslog, and the data class of syslog is written in log buffer; (2) log buffer: the log buffer takes charge of storing the received syslog log data temporarily; (3) log normalization processing: detects the head of log buffer by separated thread, if the log buffer has new data, and the data will be extracted from buffer queue, and log will execute normalization processing according to field description information of log normalization configuring file, and call the log storing module to store the log as uniform format; (4) log storage: using the storing thread pool to write said normalization log on log storage file, every thread takes charge of writing log data in one file, and several threads can write the logs in different directories and discs, and improve the storing efficiency. The technical schedule adopts asynchronies log processing and intercurrent log storage technique, and two taches can inherit each other and coordinates the problems of log amount and log inercurrent amount, and use time to change time, and improve the log processing ability greatly.

A Virtual-Memory Device (VMD) driver and application execute on a host to increase endurance of flash memory attached to a Super Enhanced Endurance Device (SEED) or Solid-State Drive (SSD). Host accesses to flash are intercepted by the VMD driver using upper and lower-level filter drivers and categorized as data types of paging files, temporary files, meta-data, and user data files, using address ranges and file extensions read from meta-data tables. Paging files and temporary files are optionally written to flash. Full-page and partial-page data are grouped into multi-page meta-pages by data type before storage by the SSD. Ramdisks and caches for storing each data type in the host DRAM are managed and flushed to the SSD by the VMD driver. Write dates are stored for pages or blocks for management functions. A spare / swap area in DRAM reduces flash wear. Reference voltages are adjusted when error correction fails.

A system receives first requests to create electronic storage objects that are accessible on the communication network or another communication network, and creates electronic storage objects responsive to the first requests. The first requests specify one or more data types to which the system should convert raw data received for storage in the electronic storage objects. The system also receives second requests to store specified data to the electronic storage objects, and stores received raw data (or converts the raw data to specified data types and stores the converted data) to the electronic storage objects responsive to the second requests. The system further receives third requests to retrieve data from specified electronic storage objects, and retrieves data from the specified electronic storage objects responsive to the third requests, the retrieved data being in specified data types.