Abstract: Information regarding the structure of information in a content database is maintained in a structure database. The structure database is used to correlate the data structure of a query to the structure of the content database, in order to determine that information in the content database which needs to be provided to a searcher in response to the query. In one embodiment, this search method is used in an online forum, and the forum maintains a reputation score for users with respect to given subject matter. The reputation score is dependent upon the quality of a user's participation in the forum. A user's reputation score depends upon the evaluation by others of information he posts and upon the user evaluating information posted by others.

Abstract: A method includes analyzing a plurality of electronic documents available via a network service, selecting content of the documents encountered during the analysis to generate signatures for the documents based on the content of the documents, generating an index comprising the signatures, and updating the index by performing additional analysis. The index is updated to include documents having the same signatures.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for providing apportioning of opportunity among campaigns in an on-demand service in a database system. These mechanisms and methods for providing apportioning of opportunity among campaigns can enable embodiments to automatically determine which campaigns are related to an opportunity and provide a filtered set of campaigns that are related to at least one opportunity. The ability of embodiments to apportion opportunity among campaigns can provide marketing information that accurately reflects the true relationship between an opportunity and a plurality of campaigns.

Abstract: Methods and systems supporting curation of items in a searchable knowledge base are provided. The methods and systems include mining one or more search queries of the searchable knowledge base, where each of the search queries includes a plurality of the items. The method further includes determining one or more pairs of items using a processor, where each of the pairs of items includes a correlation value exceeding a threshold. The correlation values for the pairs of items are based upon the frequency the items of the pairs of items co-occur within the search queries. The method further includes providing the pairs of items to a curator, where the curator reviews the pairs of items.

Abstract: Technologies are described herein for providing automated analysis and summarization of free-form comments in survey response data. A number of topic words are identified from the survey response comments, and a numeric weight is calculated for each topic word that reflects the relevance of the topic word to each comment. Each topic word is associated with one or more topics and the comments relevant to each topic is then determined based on the weights of the associated topic words in each comment. A report is generated which summarizes the topics and their relative importance in the survey response comments based upon the number of comments relevant to each.

Abstract: Systems and methods are provided for mining organizational data to form social networks, by identifying an initial user; sending a first query to a directory server for a first directory service record of the initial user; receiving and parsing the first directory service record of the initial user to determine at least one group to which the initial user belongs; sending a second query to the directory server for a second directory service record of the group; receiving and parsing the second directory service record of the group to determine at least one other user different from the initial user; and storing an association between the initial user and the other user in a storage medium, wherein the stored association forms part of a social network containing the initial user and the other user.

Abstract: A computerized system, method and process allows telecommunications carriers to find, evaluate and select locations for equipment through direct access to end users, while providing citizens the opportunity to offer the use of their dwelling or other assets to carriers. The system and method further provides a computerized mechanism for (a) creating an inventory and marketplace for available properties for use in telecommunications networks, (b) providing quality and/or performance monitoring and control for wireless communication systems based on data in the clearinghouse, and (c) providing localized content over wireless networks using the clearinghouse.

Abstract: Enterprise Intelligence (‘EI’) reporting in an EI framework, including: identifying, by an EI report generator, EI report criteria for inclusion in an EI report; extracting, by an EI report generator, EI report information that meets the EI report criteria from an EI data repository; assembling, by an EI report generator, the EI report information into an EI report; and presenting the EI report to an EI administrator.

Abstract: A method and apparatus for storing ontologies in a relational database. The method includes the steps of defining one or more instances, defining one or more concepts realized as instances, defining one or more relationships that may be employed between one or more instances, defining one or more relationships that may be employed between one or more concepts, and storing in a relational database each of the one or more instances, concepts, and relationships between the instances or concepts. One or more relationships may be indicated that do not apply to one or more pair of concepts.

Abstract: Aspects of the subject matter described herein relate to identity technology. In aspects, profile data is mined to determine claims providers with which a user may be familiar. These familiar claims providers are used in conjunction with claims providers that are allowed by a relying party to determine a candidate set of claims providers that are both familiar to the user and allowed by the relying party. This candidate set of claims providers is then displayed to a user so that the user may select one or more of the claims providers to obtain claims to provide to the relying party.

Abstract: Configurations providing a probabilistic ownership protocol for managing respective web property IDs (WPID) associated with incoming event tracking data communications are described. A server can determine whether an event tracking data communication with an associated WPID has an owner by checking a master ownership table. The server can register an intent to become an owner of the event tracking data communication if a minimum number of owner(s) is not met. The server then waits for a random period of time. After the random period of time, the server can check the master ownership table to determine whether the event tracking data communication has an owner or enough owners. The server can then register for ownership of the event tracking data communication by modifying the master ownership table if the event tracking data communication does not have an owner or enough owners.

Abstract: Disclosed herein is an apparatus and method for analyzing information about floating population. The apparatus includes an information collection unit, a data integration unit, a data mining analysis unit, and an interface unit. The information collection unit collects information about locations provided by mobile communication terminals of moving objects, information about attributes of the moving objects, and information about locations and attributes related to stationary objects. The data integration unit creates integrated data by integrating the information collected by the information collection unit, national statistical information, and map data registered previously. The data mining analysis unit extracts data, consistent with conditions input by a system user, from the integrated data, and searches the map data for based moving patterns of the moving objects using data mining analysis. The interface unit provides a map service in which search results have been applied to the map data.

Abstract: This document discusses, among other things, an information technology (IT) enterprise manager system. In one example, the system includes data groups organized into IT Services, IT Resources, and IT Consumers data groups. The IT Resources data group may include one or more of an IT Applications data group, an IT Assets data group, an IT Staff Data group, and an IT Vendors data group. The IT Consumers data group may include one or both of a Business Processes data group and an IT Clients data group. Information in one data group may use a link to other information in another data group. In one example, the system provides tools and methods for managing a portfolio IT projects through various phases of their lifecycles, such as during project definition, establishing a business case for the project, project design and implementation, and/or project wrap-up.

Abstract: System and method to provide a self-organizing, context aware address book, the method including: receiving sensor data about a status of a user; receiving external data about a status of predetermined contacts of the user; data mining the external data based upon the sensor data and entries within the address book; calculating a respective likelihood value to at least a portion of the entries within the address book; determining a prominence for the portion of entries within the address book; and displaying the portion of entries within the address book with the prominence.

Abstract: Various embodiments pertain to techniques for predicting and isolating patterns or trends across datasets. In various embodiments, one or more Q-entities are extracted from a data seed, associated with one or more dimensions, and classified into one or more clusters for each dimension with which it is associated. In some embodiments, a Q-entity can exist in more than one dimension and/or more than one cluster within a dimension. Once information from the data seed is associated with a dimension and cluster, frequency analysis can be utilized to ascertain a pattern or trend in the data. In various embodiments, additional data can be processed, added to the dimensions and clusters, and frequency analysis can be performed on the updated dataset to provide additional information on the pattern or trend.

Abstract: A computer-based method of analyzing call center data comprising collecting reports from customer care agents, wherein the reports comprise logged data of incoming customer calls; compiling the reports into a first data set; dividing the first data set into categories based on the incoming calls; determining a distribution within the categories; removing suspect data from the first data set to form a groomed data set; determining a distribution within the categories of the groomed data set; comparing the distribution of the first data set to the distribution of the groomed data set to form a confidence value; determining limits for a deviation of the data of the reports from the distribution of the groomed data set; comparing the deviation of a given customer care agent to the limits; and taking an action based on the comparing.

Abstract: A new data mining model (DMM) is created having at least one of the following characteristics: quality and complexity. The new DMM is handled as a candidate for storing in a storage device if a predefined criterion for the characteristics is met. The sum of the sizes of the new DMM and already stored DMMs is determined. In response to the sum falling below a storage limit, the new DMM is stored in the storage device. In response to the sum exceeding the storage limit, a decision is taken based on priorities of the DMMs which DMMs to store in the storage device.

Abstract: Web-based email systems are enabled to synchronize conversations and conversation properties. Conversations are enumerated to new clients providing folder-specific and global conversation information. After receiving the initial conversation information, clients maintain a conversation state, which is used in updating clients from a web service store through a conversation synchronization command employing an internal application programming interface within the email service.

Abstract: Electronic documents are retrieved from a database and/or from a network of servers. The documents are topic modeled in accordance with a Regularized Latent Semantic Indexing approach. The Regularized Latent Semantic Indexing approach may allow an equation involving an approximation of a term-document matrix to be solved in parallel by multiple calculating units. The equation may include terms that are regularized via either l1 norm and/or via l2 norm. The Regularized Latent Semantic Indexing approach may be applied to a set, or a fixed number, of documents such that the set of documents is topic modeled. Alternatively, the Regularized Latent Semantic Indexing approach may be applied to a variable number of documents such that, over time, the variable of number of documents is topic modeled.

Abstract: Tagging of content items and entities identified therein may include a matching process, a classification process and a disambiguation process. Matching may include the identification of potential matching candidate entities in a content item whereas the classification process may categorize or group identified candidate entities according to known entities to which they are likely a match. In some instances, a candidate entity may be categorized with multiple known entities. Accordingly, a disambiguation process may be used to reduce the potential matches to a single known entity. In one example, the disambiguation process may include ranking potentially matching known entities according to a hierarchy of criteria.

Abstract: Subsurface horizon assignment. At least some of the illustrative embodiments are methods including: obtaining, by a computer system, a seismic data volume; identifying, by the computer system, a plurality of patches in the seismic data volume, and the identifying thereby creating a patch volume; displaying, on a display device, at least a portion of the seismic data volume and the plurality of patches of the patch volume; and assigning a patch of the plurality of patches to a subsurface horizon of the seismic data volume.

Abstract: Improved systems and methods are provided for identifying financial relationships. In particular, financial relationships may be identified by associating tradelines with one or more people who sign or co-sign on the tradeline. In various embodiments a method is provided comprising, receiving, at a computer-based system for credit data analysis comprising a processor and a tangible, non-transitory memory, credit reporting data relating to a tradeline, parsing, by the computer-based system, the credit reporting data to yield primary debtor data and secondary debtor data and linking, by the computer-based system, the tradeline with the primary debtor data and the secondary debtor data.

Abstract: A system for operating an expert-informed information acquisition engine utilizing an adaptive torrent-based heterogeneous network solution includes a memory storing computer-executable instructions; at least one processor configured to access the at least one memory and execute the computer-executable instructions to: receive user-defined tags associated with a first user; access interaction data associated with one or more second users and the first user; receive user-defined tags associated with one or more second users; identify a lexicon based on the user-defined tags; receive a query from the first user, wherein the query; rank one or more documents based on the lexicon; and display one or more documents based on the lexicon, with already-seen results removed.

Abstract: An input feature vector is computed from an input text record, the input feature vector comprising one or more features, each feature including a subsequence of characters and a frequency of occurrence of the associated subsequence. A input fingerprint is generated out of the input feature vector by choosing one or more features with non-zero frequencies and alphabetizing the features chosen. One or more input indices are generated by alphabetizing features in the input fingerprint and concatenating features occurring in subsequent locations of the input fingerprint. The input text record is matched against a target text record if (1) one or more of the input indices match a target index corresponding to the target text record and (2) the corresponding input fingerprint matches a target fingerprint corresponding to the target text record. The target text record is outputted as a search result if it matches the input text record.

Abstract: A method and system for web mining and clustering is described. The method includes receiving and dividing input data into a plurality of primitive datasets. Additionally, one or more combinations of the plurality of primitive datasets may be created. Further, a model for each primitive dataset in the plurality of primitive datasets and each of the one or more combinations of the plurality of primitive datasets may be generated. Subsequently, a cost associated with a model corresponding to each primitive dataset in the plurality of primitive datasets, and each of the one or more combinations of the plurality of primitive datasets may be computed. Further, a sum of the costs associated with the models corresponding to each primitive dataset in the plurality of primitive datasets may be compared with the cost associated with each model corresponding to each of the one or more combinations of the plurality of primitive datasets.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for dynamically generating and configuring pre-aggregated datasets optimized for responding to particular types of data requests made against a large sub-optimal multidimensional dataset are disclosed. A dynamic aggregator monitors the query types and response latencies associated with queries made against the large multidimensional dataset. The dynamic aggregator defines pre-aggregated datasets based on the types of queries received from users and calculates a respective benefit score for each pre-aggregated dataset. The benefit score of each pre-aggregated dataset can be based on the recorded latencies and query count for the pre-aggregated dataset. The dynamic aggregator can decide whether to generate and/or maintain particular pre-aggregated datasets based on the current values of the benefit scores associated with the particular pre-aggregated datasets.

Abstract: Various embodiments of systems and methods for executing in-database data mining processes are described herein. In one aspect, the method includes identifying a newly created chain comprising a plurality of components connected together to perform a data mining task, generating an identifier (ID) for the newly created chain, identifying metadata associated with the chain, and storing the ID and the metadata related to the newly created chain into a repository. Each component comprises a parameterized script including one or more parameters. Values of the parameters are stored in the repository. The parameters within the scripts are replaced by their corresponding values and the components of the chain are executed sequentially to generate a final output.

Abstract: A method includes determining a source URI and extracting meta data from a resource downloaded from a network; storing the source URI and extracted meta data; and utilizing the stored URI and extracted meta data to formulate a search for another resource located on the network. A computer and computer program code are also provided.

Abstract: Large-scale event processing systems are often designed to perform data mining operations by storing a large set of events in a massive database, applying complex queries to the records of the events, and generating reports and notifications. However, because such queries are performed on very large data sets, the processing of the queries often introduces a significant delay between the occurrence of the events and the reporting or notification thereof. Instead, a large-scale event processing system may be devised as a large state machine organized according to an evaluation plan, comprising a graph of event processors that, in realtime, evaluate each event in an event stream to update an internal state of the event processor, and to perform responses when response conditions are met. The continuous monitoring and evaluation of the stream of events may therefore enable the event processing system to provide realtime responses and notifications of complex queries.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for aggregating on-demand database service data. These mechanisms and methods for aggregating on-demand database service data can enable embodiments to more flexibly summarize data. The ability of embodiments to provide such feature may lead to enhanced aggregation features which may be used for providing more effective ways of summarizing data.

Abstract: Embodiments of the present disclosure set forth a method for selecting a preferred data set. The method includes generating a candidate data set based on a first data set having a first join attribute, and a first aggregate attribute and a second data set having a second join attribute compatible with the first join attribute, and a second aggregate attribute, wherein the candidate data set includes a total attribute having a value that is based on aggregating a value associated with the first aggregate attribute and a value associated with the second aggregate attribute; and selecting the preferred data set from the candidate data set based on the total attribute.

Abstract: A control circuit collects content for on-line behavioral events for a plurality of discrete on-line participants and then uses this identifying information to parse and aggregate that content to provide parsed, aggregated behavioral-event content that can then be offered, for example, via an on-line auction. By one approach the identifying information can serve as a basis to parse the aggregated content by industry to thereby yield, for example, search queries conducted by a variety of persons working for a variety of companies as comprise a given industry. By ensuring a statistically-significant number of sources, and by withholding the identifying information when offering the resultant parsed, aggregated content, the identities of the sources are anonymized to thereby protect and preserve the privacy of these sources.

Abstract: Provided are techniques for updating web content. A data mining scan of one or more data sources is performed for one or more topics to identify one or more trending topics. One or more relationships of the one or more trending topics to content objects are identified. One or more recommendations on how to update the web content based on the one or more relationships are provided. Input is received on the one or more recommendations. In response to the received input, the web content is automatically updated based on making associations between the web content and the content objects.

Abstract: Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for receiving training data for predictive modeling and executing multiple processes simultaneously to generate multiple trained predictive models using the training data and training functions. After executing the processes for an initial runtime, a convergence status of each process is determined that indicates a likelihood that the training function being executed will converge on the training data. Based on the determination, training functions are identified that are not likely to converge and processes that are executing these training functions are terminated. After an ultimate runtime has expired, processes that are still executing training functions that have not yet converged are terminated. An effectiveness score is generated for each of the trained predictive models that were successfully generated and a trained predictive model is selected based on the effectiveness scores.

Abstract: In a method and system for forecasting an availability of content, a selection of a media content item is received. Metadata related to the selected media content item is retrieved from a database record corresponding to the media content item. The metadata includes release data for a release window associated with the media content item. Based on the release data indicating the media content item has been released in the release window, an actual release date for the release window is presented to the client device. Based on the release data indicating the media content item has not been released in the release window, an estimated release date and a confidence indicator for the estimated release date for the release window are generated using the retrieved metadata and presented to the client device.

Abstract: Among other disclosure, a computer-implemented method for business process reporting includes receiving, at a server device, a first identifier of a business document, the business document being an instance of a business document type and having a first timestamp. The method includes polling multiple systems with the first identifier using the server device, the polling requesting (i) second identifiers for related objects of the business document according to a relationship model that is local to the system being polled, and (ii) metadata associated with the second identifiers, including second timestamps associated with the related objects; performing polling of at least some of the multiple systems with the second identifiers and any subsequently received identifiers using the server device, until the polling has been performed for all received identifiers.

Abstract: A classification method includes constructing queries from category descriptors representing categories of a taxonomy of hierarchically organized categories. The query constructed for a category c includes a query component based on descriptors of the category c and at least one query component based on descriptors of an ancestor or descendant category of the category c. A documents database is queried using the constructed queries to retrieve pseudo-relevant documents. Language models for the categories of the taxonomy are extracted from the pseudo-relevant documents by inferring a hierarchical topic model representing the taxonomy. An input document is classified by optimizing mixture weights of a weighted combination of categories of the hierarchical topic model respective to the input document.

Abstract: A solution is disclosed for an overall equipment effectiveness (OEE) analysis for a manufacturing execution system (MES) allowing a comparative analysis that makes it possible to build links and relations among the values found in a report with raw data acquired from the field. The solution is a web application running on a web server and on OEE databrowsers running on clients. In order to come to a comparative analysis an OEE-server is provided with the functionality to acquire data from the MES of the production plant, to perform scheduling for reports, and to perform run time query executions. Additionally the web server gets data from a data mining support database.

Abstract: Systems and methods are provided for maintaining a dynamic profile slice of a user profile of a user. In one embodiment, a real-time user-generated context of the user is monitored over time to accumulate keywords in the dynamic profile slice of the user that are representative of dynamic interests of the user. Weights are assigned to the keywords in the dynamic profile slice using a time and/or location weighting function.

Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.

Abstract: Systems and methods to enhance enhancing a service for a user. The system collecting documents viewed or words posted by a user. Determining a list of topic words for the user based on words in the documents viewed or words posted. Identifying a list of topic words associated with the user, based on words in the one or more documents and the words posted by the user. Assigning each of the topic words to at least one of a plurality of topics based on correlations between the topic words of the user and topic words from other users. Estimating a set of interest topics for the user based on the topics assigned to the topic words of the user.

Abstract: Techniques disclosed herein include systems and methods for data validation and correction. Such systems and methods can reduce costs, improve productivity, improve scalability, improve data quality, improve accuracy, and enhance data security. A data manager can execute such data validation and correction. The data manager identifies one or more anomalies from a given data set using both contextual information and validation rules, and then automatically corrects any identified anomalies or missing information. Identification of anomalies includes generating similar data elements, and correlating against contextual information and validation rules.

Abstract: A method of screening biologically active agent based on the analysis of complex biological responses in culture. Methods for selecting cells and culture conditions for such screens are provided, as well as the identification of an optimized set of discrete parameters to be measured, and the use of biomap analysis for rapid identification and characterization of drug candidates, genetic sequences acting pathways, and the like. A feature of the invention is simultaneous screening of a large number of cellular pathways, and the rapid identification of compounds that cause cellular responses.

Abstract: A computer-implemented method, system, and article of manufacture for determining a set of correlated data among heterogeneous computer applications. The method includes providing a computer system having software modules, receiving statistics on data relating to a first event and a second event, generating a confidence score for an attribute set, where the attribute set includes an attribute from the first event data and an attribute from the second event data, and selecting the attribute set as a set of correlated data if the confidence score is within a threshold value.

Abstract: The present discussion relates to patient image data workflows. One example can temporarily serially arrange a set of semantic labeling modules in a patient image data workflow pipeline responsive to receiving an event trigger. The example can also remove the set of modules from the patient image data workflow pipeline responsive to receiving an event completion trigger.

Abstract: In one embodiment, an approach to automated recurring concept extraction, from a plurality of input data models (schemas) is presented. The approach converts input data models to graphs, with typed elements. The graphs are mined for closed subgraphs that have a defined minimum support. The identified subgraphs can be filtered with a relevance metric. These subgraphs are converted to schemas or an appropriate representation, and stored for reuse in a repository. The repository can be used to automate further transformation or mapping of schemas presented to a system that uses the repository. In one example, the repository is used in a schema covering process to perform schema transformation.

Abstract: Methods and systems for identifying stability exceptions in a data log are disclosed. In one method, at least one key that is present in the data log is determined. The data log is comprised of at least one data set, at least one of which includes a plurality of iterations indicating states of the corresponding data set at different points in time. For each data set and for each key, a map is generated. The map indicates, for each iteration of the corresponding data set, whether the corresponding key is present in the corresponding iteration. Moreover, at least one expression pattern rule that models data item stability characteristics over data set iterations is compared to each of the maps to determine whether the corresponding map satisfies the one or more expression pattern rules. Further, at least one unstable data item is identified in the data log based on the comparison.

Abstract: A method, computer system and computer program product for collecting identified items of interest from text result output using a poller. The steps include identifying identified items of interest from a device through highlighting at least one portion of the text result output as data item of interest and recording a location of the at least one highlighted portion of the text result output identified as data items of interest, and at a set time interval accepted from the user, executing the poller, and if at least one data item of interest is present within the text result output, extracting and storing the at least one data item of interest in the repository.

Abstract: Provided are a method, system, and article of manufacture for automated creation and delivery for generating output material. A customer record is generated in a customer database to include fields specifying at least one product, customer preferences, and a selected output method to deliver generated output material on the product specified in the customer record. At least one customer record in the customer database is received to process. A template including at least one query of a content database is processed. The at least one query included in the template using at least one value from the customer record is executed against the content database to access at least one content file. The content of each accessed content file is generated into the output material. A determination is made of a selected one of a plurality of delivery options from the customer record. The output material is transmitted via the determined delivery option to the customer specified in the customer record.

Abstract: Provided is a text mining device that performs an analysis properly with respect to a difference between plural related document data. Equipped are an element extracting section 140 that extracts language elements from related two or more document data respectively; a differential processing section 150 that extracts a difference between the document data by comparing the elements between the document data which were extracted by the element extracting means 140; and a statistical processing section 170 that performs statistical processing on the difference extracted by the differential processing section 150.