1913results about "Data mining" patented technology

Activity data is analyzed or evaluated to detect behavioral patterns and anomalies. When a particular pattern or anomaly is detected, a system may send a notification or perform a particular task. This activity data may be collected in an information management system, which may be policy based. Notification may be by way e-mail, report, pop-up message, or system message. Some tasks to perform upon detection may include implementing a policy in the information management system, disallowing a user from connecting to the system, and restricting a user from being allowed to perform certain actions. To detect a pattern, activity data may be compared to a previously defined or generated activity profile.

In an information management system, policies are deployed to targets and targets can evaluate the policies whether they are connected or disconnected to the system. The policies may be transferred to the target, which may be a device or user. Relevant policies may be transferred while not relevant policies are not. The policies may have policy abstractions.

A method and system for producing graphics. A hierarchical structure of a database is determined. A visual table, comprising a plurality of panes, is constructed by providing a specification that is in a language based on the hierarchical structure of the database. In some cases, this language can include fields that are in the database schema. The database is queried to retrieve a set of tuples in accordance with the specification. A subset of the set of tuples is associated with a pane in the plurality of panes.

In one embodiment, a method includes collecting communications from a plurality of sources. The method further includes selecting a set of topics and a set of users. In addition, the method includes, for each user, identifying, from the collected communications, conversations in which the user has participated. Moreover, the method includes, for each topic, for each user: measuring a proportion of the identified conversations that contain content suggestive of the topic; analyzing timing of the identified conversations; and examining relationships among data attributes of the identified conversations. Further, the method includes generating multidimensional expertise data. The multidimensional expertise data is representative of the user's expertise on the topic. The multidimensional expertise data includes a topical dimension, an expertise-scope dimension, and a timeline dimension. The method also includes, for each topic, ranking the set of users by expertise index. Also, the method includes providing a searchable interface.

A method and system for producing graphics. A hierarchical structure of a database is determined. A visual table, comprising a plurality of panes, is constructed by providing a specification that is in a language based on the hierarchical structure of the database. In some cases, this language can include fields that are in the database schema. The database is queried to retrieve a set of tuples in accordance with the specification. A subset of the set of tuples is associated with a pane in the plurality of panes.

In one example embodiment, a system and method are shown for receiving data that include a time stamp. The system and method also include building an Online Analytical Processing (OLAP) cube that includes a dimension, the dimension acting as a schema for the data that include the time stamp. The system and method may also include populating the OLAP cube with an object, the object including the data and the time stamp as at least one attribute. The system and method may also include storing the OLAP cube.

An enterprise-wide web data mining system, computer program product, and method of operation thereof, that uses Internet based data sources, and which operates in an automated and cost effective manner. The enterprise web mining system comprises: a database coupled to a plurality of data sources, the database operable to store data collected from the data sources; a data mining engine coupled to the web server and the database, the data mining engine operable to generate a plurality of data mining models using the collected data; a server coupled to a network, the server operable to: receive a request for a prediction or recommendation over the network, generate a prediction or recommendation using the data mining models, and transmit the generated prediction or recommendation.

A method for processing information from a variety of submitters, e.g., forensic sources. The method includes receiving information about one or more nodes from a submitter from a plurality of submitters numbered from 1 through N. In a specific embodiment, the one or more nodes are associated respectively with one or more IP addresses on a world wide network of computers. The method includes identifying a submitter reputation of the submitter from a knowledge base and associating a node reputation of the node based upon at least the reputation of the submitter and submitted information from the submitter. The method also transfers the node reputation.

A method and system for data mining is disclosed in which advertising / promotional events (e.g., the fact that a promotion was taking place when the transaction was recorded) are factored into association analysis of the data. Sales data is integrated with advertising data and a plurality of taxonomies are employed to link the merchandise data with the advertising data. This enhances the data so that the advertising status (advertised or non-advertised) can be determined and this information can be used to track the impact of advertising on product dynamics in market baskets and on sales. Further, for those articles that are advertised, detailed information about the advertising used is also available and integrated into the analysis so that, for example, the effectiveness or lack of effectiveness of a particular advertisement can be determined.

A data analysis system that includes an information mining engine for extracting structured data from unstructured data, a data store for storing the extracted structured data, data received from third party data sources, and data received from sensors monitoring insured property is described. The system also includes a business logic processor that synergistically analyzes the structured data extracted by the text mining engine, the data received from the sensor, and the data received from the third party data source to make an insurance evaluation.

A system is disclosed that allows a multi-dimensional data set to be mined as a single dimension data set so that useful information can be derived from that data set in an efficient manner. In one embodiment, the present invention allows for association rules and / or sequential patterns to be generated from M-dimensional data using a 1-dimensional mining process. In one implementation, one or more conditional items are appended to a data item in order to transform the multi-dimensional data to one-dimensional data.

A Customer Relationship Management (CRM) system includes a CRM Client, CRM Engine, and Relational Database Management System (RDBMS). The CRM Client, CRM Engine, and RDBMS integrate a suite of services that allow users to plan, manage, and execute promotional or marketing campaigns, build customer segments, score customers, and analyze customer behavior, product purchases, and response to promotional campaigns. The services include an automated Analytic Data Set Creation service, which simplifies and automates the process of creating analytic data sets useful for modeling and analysis out of operational data stored in the relational database, and a Response Modeling service, which automatically creates promotion response models to score individual customers based on that model in order to predict which customers are most likely to respond to a future promotional campaign.

A method, system, and computer program product for allocating data mining processing tasks that does not use complex internal schemes, yet results in better performance than is possible with general-purpose operating system based schemes. The present invention uses a data mining agent that operates autonomously, proactively, reactively, deliberatively, and cooperatively to allocate and reallocate data mining processing tasks among computer systems, and / or among processors. The data mining agent reacts to its own environment, determines if a data mining activity can be completed as expected, solicits bids from other data mining agents, determines if anther data mining system could complete the data mining activity and migrates that data mining activity to the selected data mining system.

The embodiment of the invention provides an intelligent question-answer implementing method and system. The method comprises receiving a question to be queried; performing semantic analysis on the question; according to the result of the semantic analysis, performing corresponding retrieval treatment on the question, wherein the retrieval treatment comprises retrieval treatment on the question by at least one of a semantic relation digging system, a text library retrieving system, a knowledge base retrieving system and a question-answer library retrieving system; feeding an answer back according to the result of the retrieval treatment. The intelligent question-answer implementing method effectively improve the accuracy of question answering.

Method and system including receiving one or more parameters associated with an orthodontic condition, receiving a treatment goal information associated with the orthodontic condition, and providing a predefined template associated with the received treatment goal information, wherein the predefined template includes at least one orthodontic condition related information, are provided.

The subject invention relates to probabilistic models that are trained from transitions among various topics of pages visited by a sample population of search users. In one aspect, probabilistic models of topic transitions are learned for individual users and groups of users. Topic transitions for individuals versus larger groups are analyzed, wherein the relative accuracies of personal models of topic dynamics with models constructed from sets of pages drawn from similar groups and from a larger population of users are compared. To exploit temporal dynamics, the accuracy of these models are tested for predicting transitions in topics of visits at increasingly more distant times in the future. The models can be applied to search topic dynamics of tagged pages, and then utilized to predict topics of subsequent pages visited by users.

Client is connected to a selected program serving site via a communication network. The program serving site includes a database storing plural types of contents having various different characters and can supply a program file defining a reproducing sequence of a plurality of contents including those of different characters. The client includes a plurality of types of reproduction engines which are capable of reproducing the contents of the respective characters. The client receives a program file from the program serving site and also receives, from the database of the site, contents specified by the received program file. For reproduction of a desired program file, the client reproduces the individual contents in a reproducing sequence defined by the program file, using any one of the reproduction engines which corresponds to the type of each content to be reproduced. The program progression can be fast-forwarded or fast-reversed by fast-forwarding or fast-rewinding a currently-reproduced content. Contents meeting a search condition specified by the client are searched for and retrieved from the program serving site, and a new program file including the retrieved contents is created. The client can edit the program file, display information pertaining to the currently-reproduced content and select and purchase any desired content.

An information management system approves or denies user requests to access information of the system. The information includes all types of information including documents and e-mail. The information management system is driven using a policy language having policies and policy abstractions. The information management system may approve or deny many different types of requests including opening a document or file, copying a file, printing a file, sending an e-mail, reading an e-mail, cut and paste of a portion of a document, saving a document, executing an application on a file, and many others.

A system and method for determining the significance of association rules which are mined from a dataset is provided. Predictive association rules may also be generated based on the significance of an association rule. The statistical significance of an association rule may be used to estimate the number of false discoveries in a dataset or to rank discovered association rules by statistical significance to permit the user of the system to view the most statistically significant association rules first.

According to the invention, techniques for profiling of human behavior based upon analyzing data contained in databases, data marts and data warehouses. In an exemplary embodiment, the invention provides for creating a dynamic customer profile by analyzing relationships in data from one or more data sources of an enterprise. The method can be used with many popular visualization tools, such as On Line Analytical Processing (OLAP) tools and the like. The method is especially useful in conjunction with a meta-model based technique for modeling the enterprise data. The enterprise is typically a business activity, but can also be other loci of human activity. The human behavior profiled is typically that of a customer, but can be any other type of human behavior. Embodiments according to the invention can display data from a variety of sources in order to provide visual representations of data in a data warehousing environment.

A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

Apparata, articles and methods for discovering partially periodic temporal associations, referred to herein as p-patterns, are provided. For example, a p-pattern in computer networks might comprise five repetitions every 30 seconds of a port-down event followed by a port-up event, which in turn is followed by a random gap until the next five repetitions of these events. In one embodiment, the present invention comprises: (i) a normalization step to convert application-oriented event data into an application-independent normalized table; (ii) an algorithm for finding significant period lengths from normalized events (e.g., 30 seconds) using a Chi-squared test; and (iii) an algorithm for finding a partially periodic temporal association (e.g., port-down followed by port-up) given a known period.

Some embodiments provide a system for processing relationship data that expresses relationship between various entities. In some embodiments, the entities are entities associated directly with an enterprise. The entities in some embodiments described below also include entities associated indirectly with the enterprise through other entities. However, one of ordinary skill will realize that some embodiments might only track relationships between entities directly associated with an enterprise. In some embodiments, the system consolidates disparate relationship data sets that relate to the same set of entities. For instance, in some embodiments, the system includes several data storages that store relationship data. For at least two entities, at least two different data storages store two different relationship data sets that differently express the relationship between the two entities. The system includes a hierarchy manager that receives the two different relationship data sets and consolidates the two different relationship data sets into one relationship data set that best expresses the relationship between the two entities.

The embodiment of the invention provides an answer providing method. The method comprises steps of receiving a question submitted by a user, extracting an entity node and an attribution node from the question, building a query chain corresponding to the question, retrieving an answer to the question in a pre-constructed knowledge graph according to the query chain corresponding to the question to designate the answer as an answer acquired according to a knowledge graph retrieval way to the question, and feeding back the answer acquired according to the knowledge graph retrieval way to the user. Possibility that an answer acquired via retrieval is the answer to the question submitted by the user can be improved to a certain degree, so accuracy of answers fed back to the user can be improved; and besides, the embodiment of the invention further provides an answer providing apparatus.

Method and system including receiving one or more parameters associated with an orthodontic condition, receiving a treatment goal information associated with the orthodontic condition, and providing a predefined template associated with the received treatment goal information, wherein the predefined template includes at least one orthodontic condition related information, are provided.