174653 results about "Data mining" patented technology

A system, method, and computer program product for dynamically adapting selections in an automatic phone support system is described. The invention may integrate a dynamic knowledge base of responses with the menu selections on an automated phone system or other response system to present the most frequently used items earlier in the option list, or otherwise order options and information. Call data may be captured from single callers or historical ensembles of callers. An automatically generated similarity relationship may be used to initialize the system without historical call data, based on textual similarity or other techniques. Prioritization of options provides a more enjoyable, efficient experience for callers without increasing administrative overhead.

A system, method, and various software products provide for consistent identification of web users across multiple web sites, servers and domains, monitoring and capture of data describing the users' web activities, categorization of the web activity data, aggregation of the data into time dependent models describing interest of users and groups over time. Categorization is made with respect to a category tree which may be standardized or customized for each web site. User groups may be defined based on membership rules for category interest information and demographics. Individual user profiles are then created for users automatically based on satisfaction of the user group membership rules. As new data is collected on a user over time, the category interest information extracted from the user's web activity is updated to form a current model of the user's interests relative to the various categories. This information is also used to automatically update group membership and user profile information. Identification of users across multiple sites is provided by a global service that recognizes each user and provides a globally unique identifier to a requesting web server, which can use the identifier to accumulate activity data for the user. Client side user identification is provided to track user activity data on web servers that do not communicate with the global service and do not process activity for category information. User profiles may be shared among web sites that form alliances. User activity data may be aggregated along various dimensions including users/user groups, categorization, and time to provide robust models of interest at any desired time scale.

A networking database containing a plurality of records for different individuals in which individuals are connected to one another in the database by defined relationships. Each individual has the opportunity to define the relationship which may be confirmed or denied. E-mail messaging and interactive communication between individuals and a database service provider provide a method of constructing the database. The method includes having a registered individual identify further individuals and define therewith a relationship. The further individuals then, in turn, establish their own defined relationships with still other individuals. The defined relationships are mutually defined.

A system and process that provides an on-line, interactive, and fully integrated benefit-driven value exchange and settlement program that monitors, evaluates, and manages economic and personal benefits and executes functions to produce and acquire the maximum or preferred benefit items for users by guiding and automating appropriate payment and settlement actions. The present invention finds useful patterns in data; produces conclusions based on rules and experience; responds to environmental changes with or without human intervention; and, may evolve through selecting the best results from random mutations all of which are intended to maximise user value.

The present invention is directed to a system and method for searching and retrieving location information associated with one or more points of interests, whereby the search criteria can be dependent upon the location of a point of interest with respect to the the real-time position of the user, and any preferences or search restrictions selected by the user, such as rating information about the point of interest. Upon selecting a point of interest from the search result, the user is then given further information regarding the selected point of interest, including but not limited to directions for traveling to the point of interest. Additionally, the present invention can provide to the user a proximity notification once the user is within a certain distance from the point interest. Finally, while at a point of interest, the user can provide to the system information regarding the point of interest, such as rating of the food of a restaurant, without having to specifically identify the point of interest as the system can self-identify the point of interest by using the position information of the user.

A system, method, and computer program product for online advertising, including computing and dynamically updating a cost-per-click (CPC) value of an advertisement for an advertisement traffic source based on a variable; and automatically uploading and distributing the advertisement to the traffic source. The variable includes price, advertisement traffic source, and/or advertiser variableS. Further embodiments include dynamically updating an advertisement listing that has a cost-per-acquisition (CPA)-based value with associated CPC or cost-per-1000 (CPM) values; and distributing the advertisement listing to an advertisement distribution network that serves the listing based on the CPC or CPM values. The distribution network includes CPC-based, CPA-based, and/or CPM-based distribution networks. Further embodiments include determining a CPC value for a CPA-based advertisement; and placing the advertisement on an advertising network at the determined CPC based on a ratio of an expected number of conversions at a CPA value divided by a number of clicks at the CPC.

An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context. The apparatus receives an input from the user and other data. A predicted input is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback. Also provided is a pattern recognition system for a multimedia device, wherein a user input is matched to a video stream on a conceptual basis, allowing inexact programming of a multimedia device. The system analyzes a data stream for correspondence with a data pattern for processing and storage. The data stream is subjected to adaptive pattern recognition to extract features of interest to provide a highly compressed representation which may be efficiently processed to determine correspondence. Applications of the interface and system include a VCR, medical device, vehicle control system, audio device, environmental control system, securities trading terminal, and smart house. The system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning.

Systems and methods of utilizing communications networks and multivariate analysis to predict or recommend optimal products from a predefined population of commercially available products are disclosed. The recommendations are based on intelligence contained in processing elements and subjective and/or objective product information received from consumers or input to the systems as part of their initial setup. The output of the systems comprise sets of products that they predict the consumer will prefer and/or perform well for the problem or concern identified by the consumer. The performance and preference predictions are a function of consumer problems and product responsiveness patterns. Objective product information is generally obtained with diagnostic instruments. Data measured with the diagnostic instruments may be communicated to the data processing portions of the invention via the Internet. The outputs of the data processing portion of the system may be presented to consumers via the Internet as well.

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.

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.

A mobile inventory robot system generates an inventory map of a store and a product database when a mobile inventory robot is manually navigated through the store to identify items on shelves, a location for each of the items on the shelves, and a barcode for each of the items. The system performs inventory of the items by navigating through the store via the inventory map, capturing a shelf image, decoding a product barcode from the captured shelf image, retrieving a product image for the decoded product barcode from the product database, segmenting the captured shelf image to detect an image of an item on the shelves, determining whether the detected image matches the retrieved image and, if not, setting an out-of-stock flag for an the item.

A networking database containing a plurality of records for different identities in which identities are connected to one another by defined or interpreted Inter-Personal and Intra-Personal relationships. Individuals using the system may define, group and categorize specific identities and relationships; the system may also define, categorize and group both identities and relationships belonging to individuals registered with the system and unregistered users through computational analysis. Identities and relationships may be discovered by the system via an opt-in user-provided mechanism, via a third-party providing information, or through the system's own discovery. Identity and Relationship data can then be used to customize content.

A text classifier and building the text classifier by determining appropriate parameters for the text classifier.

A system, including software components, that efficiently and dynamically analyzes changes to data sources, including application programs, within an integration environment and simultaneously re-codes dynamic adapters between the data sources is disclosed. The system also monitors at least two of said data sources to detect similarities within the data structures of said data sources and generates new dynamic adapters to integrate said at least two of said data sources. The system also provides real time error validation of dynamic adapters as well as performance optimization of newly created dynamic adapters that have been generated under changing environmental conditions.

A smart agent (SA) is provided which resides locally in a local client device and by iterative means integrates the habit, statistics and psycho-demographic information of a user to infer the user's preferences. The SA may also utilize the preferences to filter information delivered to the local device. The invention further discloses a means of collecting, combining, integrating and inferring information from the user to arrive at a psycho-demographic profile of the user, and a means of utilizing such psycho-demographic profile to select or filter information delivered to the user, thereby achieving targeting. The invention also discloses a means of classifying and identifying the information delivered so that it can be matched, filtered or selected.

Systems and methods for energy optimization may receive receiving energy provider data, near-real time individualized energy usage data for each of a plurality of end-uses or near-real time individualized whole premise energy usage data, customer preferences, and near-real time and forecasted weather information. The systems and methods may forecast, for a selected time period, individualized energy usage for each of the plurality of end-uses or individualized whole premise energy usage data for a customer location using: (1) the energy provider data, (2) the near-real time individualized energy usage data, (3) the customer preferences, and (4) the near-real time and forecasted weather information. The systems and methods may optimize, for the selected time period, energy usage at the customer location using (1) the individualized energy usage, (2) the energy provider data, and (3) the customer preferences.

Systems and methods are disclosed for capturing data representative of user interactions with a desktop computer, and processing the capture data to identify and analyze business processes performed by the user. The disclosed system comprises listeners that capture key actuations, mouse-clicks, screen information, and other data representative of user interaction with a desktop computer. A desktop observer is provided to accept capture data from listeners, to temporarily store the capture data if necessary, and to pass the capture data to a process intelligence server. The process intelligence server includes a process discovery module the analyzes the capture data and identifies business processes corresponding to the capture data, or models business processes. A process data master storage is provided. A process analysis module is provided to determine performance metrics, best practices, application productivity impacts, compliance, and optimization analysis on the data stored in the process master storage. Methods are disclosed for capture, catalog, combination, correlation, change, compression, and certification.

A method of providing performance reports to persons associated with the monitoring of an analyte level, such as blood glucose concentrations in a host, is provided. The performance reports can indicate a measure of an analyte variability of the host over a first analysis time period compared to a measure of analyte variability of the host over one or more other analysis time periods. The analyte level of the host can be received in each of a plurality of sensor readings from a continuous analyte sensor, such as multiple sensor readings per hour, so that the analyte variability that is used in determining the performance report of the host can be based on not just a few metered readings taken by the host, but a plurality of intermittent readings that are taken by a continuous analyte sensor, for example. Various types of performance reports can be generated, such as reports that comprise charts, graphs, tables, and/or other visual indicia of a host's performance during one analysis period versus another analysis period.

A data structure visualization tool visualizes a data structure such as a decision table classifier. A data file based on a data set of relational data is stored as a relational table, where each row represents an aggregate of all the records for each combination of values of the attributes used. Once loaded into memory, an inducer is used to construct a hierarchy of levels, called a decision table classifier, where each successive level in the hierarchy has two fewer attributes. Besides a column for each attribute, there is a column for the record count (or more generally, sum of record weights), and a column containing a vector of probabilities (each probability gives the proportion of records in each class). Finally, at the top-most level, a single row represents all the data. The decision table classifier is then passed to the visualization tool for display and the decision table classifier is visualized. By building a representative scene graph adaptively, the visualization application never loads the whole data set into memory. Interactive techniques, such as drill-down and drill-through are used view further levels of detail or to retrieve some subset of the original data. The decision table visualizer helps a user understand the importance of specific attribute values for classification.

Systems and methods are provided for performing a search based on a snapshot image captured from media content presented to a user. The snapshot image contains features of the media content that the user wishes to target for the search. A search system recognizes features of the snapshot image and creates a search query based on the snapshot image. The search query is used to identify features of the snapshot image, and search results related to the identified features are presented to the user. Supplemental data or user input received with the snapshot image may be used in analyzing and identifying features of the snapshot image.

Various exemplary systems and methods for linking entity references and identifying associations are presented. In particular, a method is provided for linking a plurality of entity references to at least one entity. The method comprises the steps of evaluating a probability of a match between a first entity reference and a second entity reference based at least in part on a statistical significance of one or more field values being common to both the first entity reference and the second entity reference, wherein field value statistical significance is inversely related to a number of field value occurrences occurring in some or all of the plurality of entity references and linking the first entity reference with the second entity reference when the probability is greater than or equal to a match threshold.