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177629 results about "Data mining" patented technology

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.

System and method for generating a dynamic interface via a communications network

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.
Owner:ORACLE OTC SUBSIDIARY

Internet profiling

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.
Owner:FUJITSU LTD

Document similarity detection and classification system

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.
Owner:GLASS JEFFREY B MR

Method and apparatus for constructing a networking database and system

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.
Owner:MACROVIEW COMM CORP +1

System and method for identity verification and management

ActiveUS20060161435A1Identity confidence factor of be increaseIncrease length of timeElectric signal transmission systemsDigital data processing detailsComputer scienceAuthentication
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.
Owner:ATEF FARSHEED +1

Method and system for optimally searching a document database using a representative semantic space

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.
Owner:KLDISCOVERY ONTRACK LLC

Methods and devices for prediction of hypoglycemic events

InactiveUS20020106709A1Avoid glucose level droppingMore time to respondMicrobiological testing/measurementMaterial analysis by electric/magnetic meansData streamData mining
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.
Owner:LIFESCAN IP HLDG LLC +1

System and Method for Performing Inventory Using a Mobile Inventory Robot

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.
Owner:IBM CORP

Custom entities and fields in a multi-tenant database system

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.
Owner:SALESFORCE COM INC

Content-indexing search system and method providing search results consistent with content filtering and blocking policies implemented in a blocking engine

A content-indexing search system and method provides search results consistent with content filtering and blocking policies. The search system comprises a content-indexing search engine including a database coupled to an information network. A user provides search queries to the search engine through a gateway serving as a proxy server and cache and blocking engine. The blocking engine implements content filtering and blocking policies with respect to the search results. Alternative embodiments provide consistency between the results of the user content searches and the content filtering / blocking policies. One embodiment modifies the search engine to implement the same content blocking policy as the caching and filtering engine. Another embodiment modifies the search engine to build an indexing database by searching the caching and engine content. A third embodiment modifies the search engine to go through the cache and filter engine as the search engine builds its indexing database. A fourth embodiment modifies a search engine to go through a caching and filtering engine as it builds an indexing database.
Owner:IBM CORP

Smart agent based on habit, statistical inference and psycho-demographic profiling

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.
Owner:ROVI GUIDES INC

Method, system, and computer program product for visualizing a data structure

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.
Owner:RPX CORP +1
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