181042 results about "Data science" patented technology

An efficient method for breaking source data into smaller data subsets and storing those subsets along with coded information about some of the other data subsets on different storage nodes such that the original data can be recreated from a portion of those data subsets in an efficient manner.

An on-line scheduling application allows users to personalize how television-related, entertainment-related, and social event related information is provided. Users may select one or more sources from which the information is obtained. Users may set up a date book that is also used as a source. Users may select one or more delivery schemes that the application uses to provide the information. One or more of the personalization features of the scheduling application may be incorporated into an on-line television programming guide.

A method and apparatus for calculating, displaying and acting upon relationships in a social network is described. A computer system collects descriptive data about various individuals and allows those individuals to indicate other individuals with whom they have a personal relationship. The descriptive data and the relationship data are integrated and processed to reveal the series of social relationships connecting any two individuals within a social network. The pathways connecting any two individuals can be displayed. Further, the social network itself can be displayed to any number of degrees of separation. A user of the system can determine the optimal relationship path (i.e., contact pathway) to reach desired individuals. A communications tool allows individuals in the system to be introduced (or introduce themselves) and initiate direct communication.

A document similarity detection and classification system is presented. The system employs a case-based method of classifying electronically distributed documents in which content chunks of an unclassified document are compared to the sets of content chunks comprising each of a set of previously classified sample documents in order to determine a highest level of resemblance between an unclassified document and any of a set of previously classified documents. The sample documents have been manually reviewed and annotated to distinguish document classifications and to distinguish significant content chunks from insignificant content chunks. These annotations are used in the similarity comparison process. If a significant resemblance level exceeding a predetermined threshold is detected, the classification of the most significantly resembling sample document is assigned to the unclassified document. Sample documents may be acquired to build and maintain a repository of sample documents by detecting unclassified documents that are similar to other unclassified documents and subjecting at least some similar documents to a manual review and classification process. In a preferred embodiment the invention may be used to classify email messages in support of a message filtering or classification objective.

Embodiments of computer-implemented methods and systems are described, including: in a computer network system, providing a user page region viewable by a user; providing to the user, in the user page region, indicators of each of three categories, the categories consisting essentially of: (i) what the user has, (ii) what the user wants, and (c) what the user has thought or is thinking; wherein the user page region accepts a post by the user; after the post by the user, displaying the post in a group page region, viewable by a set of one of more persons other than the user, the set of persons being separated from the user at locations on a network; before the displaying, requiring the user to select one of the three categories to be associated with the post; and displaying the category selected by the user, with the post, in the group page region.

A method and apparatus for calculating, displaying and acting upon relationships in a social network is described. A computer system collects descriptive data about various individuals and allows those individuals to indicate other individuals with whom they have a personal relationship. The descriptive data and the relationship data are integrated and processed to reveal the series of social relationships connecting any two individuals within a social network. The pathways connecting any two individuals can be displayed. Further, the social network itself can be displayed to any number of degrees of separation. A user of the system can determine the optimal relationship path (i.e., contact pathway) to reach desired individuals. A communications tool allows individuals in the system to be introduced (or introduce themselves) and initiate direct communication.

A mobile system is provided that includes speech-based and non-speech-based interfaces for telematics applications. The mobile system identifies and uses context, prior information, domain knowledge, and user specific profile data to achieve a natural environment for users that submit requests and / or commands in multiple domains. The invention creates, stores and uses extensive personal profile information for each user, thereby improving the reliability of determining the context and presenting the expected results for a particular question or command. The invention may organize domain specific behavior and information into agents, that are distributable or updateable over a wide area network.

A contact intelligence data mining tool for storing, processing, displaying, and printing relational patterns between entities (e.g., business and other contacts). The tool allows proprietary individual contact data to be merged with accurate and up-to-date public information in order to explore the full scope (or sphere) of an individual's or business concern's scope of influence. It intelligently establishes and presents personal, direct contacts as well as contacts of contacts, and so on. The tool further displays, via a graphical user interface, the optimal relationship path (i.e., contact pathway) to reach desired contacts.

Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.

A system for verifying the identity of a user includes an identification score assignment module configured to receive at least one source of identification of the user and to assign an identification score to each of the at least one source of identification. The system includes a total identification score generation module, in communication with the identification score assignment module, configured to generate a total identification score of the user from the identification scores of each of the at least one source of identification and a predetermined function. The total identification score of the user is associated with a level of verification of the identity of the user, and compared to a minimum identification score associated with a transaction. The transaction is performed when the total identification score of the user is greater than or equal to the minimum identification score.

A term-by-document matrix is compiled from a corpus of documents representative of a particular subject matter that represents the frequency of occurrence of each term per document. A weighted term dictionary is created using a global weighting algorithm and then applied to the term-by-document matrix forming a weighted term-by-document matrix. A term vector matrix and a singular value concept matrix are computed by singular value decomposition of the weighted term-document index. The k largest singular concept values are kept and all others are set to zero thereby reducing to the concept dimensions in the term vector matrix and a singular value concept matrix. The reduced term vector matrix, reduced singular value concept matrix and weighted term-document dictionary can be used to project pseudo-document vectors representing documents not appearing in the original document corpus in a representative semantic space. The similarities of those documents can be ascertained from the position of their respective pseudo-document vectors in the representative semantic space.

To test the functionality of a computer system, automated testing may use an automation testing tool that emulates user interactions. A database may store words each having a colloquial meaning that is understood by a general population. For each of these words, the database may store associated computer instructions that can be executed to cause a computer to perform the function that is related to the meaning of the word. During testing, a word may be received having a colloquial meaning that is understood by a general population. The database may be queried for the received word and the set of computer instructions may be returned by the database. The automated testing tool may then perform the function returned to the colloquial meaning of the word. The words stored in the database may be in English or another language.

Described herein are methods, devices, and microprocessors useful for predicting a hypoglycemic event in a subject. The hypoglycemic predictive approach described herein utilizes information obtained from a data stream, e.g., frequently obtained glucose values (current and / or predicted), body temperature, and / or skin conductance, to predict incipient hypoglycemic events and to alert the user.

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.

Systems and methods are provided for performing focus detection, referential ambiguity resolution and mood classification in accordance with multi-modal input data, in varying operating conditions, in order to provide an effective conversational computing environment for one or more users.