Abstract: The present invention discloses methods, systems, and tools for knowledge processing by building maps of ontological subjects for compositions or the contents accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject power spectrum to each composition or ontological subject. The resulting power spectrum and the adjacency matrix of the map are used to evaluate the merits of the compositions in the context of reference universes. It is also used as a research guiding tool for knowledge discovery. The invention serves knowledge seekers, knowledge creators, inventors, discoverer, as well as general public by assisting and guiding users to assess their work, identify their unknowns, optimize their research trajectory, and provide higher quality contents. The method and system, thereby, is instrumental in increasing the speed and efficiency of knowledge acquisition, discovery, retrieval, as well as faster learning and problem solving.

Abstract: A system for data mining and providing business intelligence data including a source system having a computer readable database storing data aggregated from one or more data sources, and an analytics server in communication with the source system and including a computer readable medium having an intermediate data file stored thereon. The intermediate data file consisting of the data aggregated from the one or more data sources.

Abstract: A computer system and method is disclosed for mining current and archived address data in order to identify a preferred address for each service point in a territory. The data mining system may start in response to the presentation of a candidate address for matching. The set of mined data may be prioritized by clustering like characteristics, building similarity matrices, and by constructing dendrograms with nodes joined according to common characteristics. A computer system and method for maintaining a central database of preferred addresses is also disclosed. Selected address data gathered in a queue may be scored by characteristic, grouped by consignee location, and staged for processing. The scored queue of data may be prioritized by clustering like characteristics, building similarity matrices, and by constructing dendrograms.

Abstract: A system continuously improves the sensitivity, specificity, precision, and accuracy of treatment ordering templates. A repository of information comprises multiple candidate order sets individually including multiple candidate items for order and associated corresponding related order parameters. An individual item for order is associated with multiple related order parameters. A data entry monitor monitors user selection of candidate items from a candidate order set and records candidate item usage data identifying items selected by a user for order from individual particular candidate order sets for multiple different candidate order sets.

Abstract: The present invention relates to a system for generating a table comprising generating means for generating a table which contains at least a column or line depicting one or more first categories and at least a column or line depicting first values associated with said first categories and wherein the system further comprises selecting means for selecting one of said first categories by a user and adding means for enlarging the table upon selection of a category by said selecting means, said adding means being adapted to enlarge the table by adding a new column or line which comprises second categories into which said selected first category may be subdivided as well as second values associated with said second categories and wherein said new column or line does not comprise categories into which non selected first categories may be subdivided.

Abstract: A method and system for supply chain data analysis. The method includes storing supply chain data including test data, genealogy data, repair data, some factors and some items, in one or more databases and selecting a portion of the factors from the stored data, and a time range for analysis. The method then selects one or more criterion for analysis; extracts a portion of the stored data; analyzes the extracted portion of the stored data to detect a plurality of faulty combination of factors and items that results in an unexpected change in a key performance index, according to said extracted portion of the plurality of combinations. The method then performs correlation analysis on said plurality of faulty combinations to determine a root cause for the detected combination of factors; and generates a subset of said plurality of faulty combinations, according to said root causes of said plurality of faulty combinations.

Abstract: Systems and methods for managing machine tools are provided. When a current abnormality occurs in one of at least one machine tool, a specific failure category is determined according to the current abnormality, and at least one suggested combination of parameters is generated according to the specific failure category and a transaction database, wherein the specific failure category is one of a plurality of predefined failure categories, and each suggested combination of parameters includes a plurality of associated parameters, which are commonly retrieved for the specific failure category. Each transaction data in the transaction database records a plurality of parameters corresponding to a failure category, wherein the parameters are the parameters whose parameter values are retrieved from the at least one machine tool, having the abnormality according to the failure category.

Abstract: A density-based data clustering method executed by a computer system is disclosed. The method includes a setup step, a clustering step, an expansion step and a termination step. The setup step sets a radius and a threshold value. The clustering step defines a single cluster on a plurality of data points of a data set, and provides and adds a plurality of first boundary marks to a seed list as seeds. The expansion step expands the cluster from each seed of the seed list, and provides and adds at least one second boundary mark to the seed list as seeds. The termination step determines whether each of the data points is clustered, wherein the clustering step is re-performed if the determination is negative.

Abstract: Third party data embedding may be provided. Data associated with a third party provider may be saved in a native application save file. If a save file opened by the application is determined to comprise third party data, the application may determine whether an appropriate data provider is available. The application may connect to the data provider and provide on-demand, asynchronous access to the third party data upon request from a user.

Abstract: A method and apparatus are presented for: receiving a search query, comprising a query select statement and a plurality of search terms; generating a plurality of selection models based on the query select statement and the plurality of search terms, wherein each selection model, from the plurality of selection models, comprises a unique combination of one or more terms, from the plurality of search terms, that is not present in other selection models, from the plurality of selection models. A plurality of particular selection results is obtained for a particular selection model for each particular selection model, from the plurality of models. The plurality of particular selection results are grouped to a final result and aggregated according to the selection models, and the aggregated final result is presented to a user.

Abstract: There are disclosed systems and methods which provide for an inter-action between unrelated databases such that information provided to a first database by a first provider can be pushed from the first database to a user based, at least in part, on data provided by that user to a second database unrelated to the first database. This then allows a user to have information pushed to him/her based upon information previously obtained from that user or about that user. In one embodiment, the user enters his/her information into one or more databases and the entered information forms the basis for information to be pushed to that user from any database even if the pushed information resides in a non-related database. In another embodiment, the data required from a provider is determined based upon data gathered from other providers for similar items. In some situations certain data is gathered without active participation from the provider.

Abstract: A method, in one embodiment, can include encoding knowledge about a topic domain into a data modeling technique. Additionally, a set of candidate conditional functional dependencies can be generated based on a data set of the topic domain. Moreover, the set of candidate conditional functional dependencies and the data modeling technique encoded with the topic domain knowledge can be applied to the data set to obtain a plurality of data quality rules for the data set.

Abstract: Systems and methods that extend the use of data mining to identify students academically at risk of performing poorly or withdrawing from school altogether. In doing so, academically at-risk students are identified early and guided to resources to improve their academic performance.

Abstract: Embodiments of the invention related to a method and system for finding a distance between a plurality of time series, wherein each individual time series in the plurality of time series including a data, wherein the data is uncertain, and using such distance computed in business applications.

Abstract: A method of geodetic information acquisition and a computer program product having computer code for performing the method are provided. The method includes identifying a file having multiple records, where the records contain spatially referenced data. The records are classified into header records and data records. Each data record is divided into fields. Patterns of fields consistent with sets of the data records are identified. The records are associated with a format based on the patterns of fields. At least some of the spatially referenced data is extracted from the records according to the format.

Abstract: Methods and systems of defining product attributes may involve receiving a search query and extracting a user expectation from the search query. In addition, an attribute may be defined for a product based on the user expectation. In one example, consumer generated content such as forum content, review content, blog content and social networking content, is used to define the attribute.

Abstract: Methods and systems of defining product attributes may involve receiving a search query and extracting a user expectation from the search query. In addition, an attribute may be defined for a product based on the user expectation. In one example, consumer generated content such as forum content, review content, blog content and social networking content, is used to define the attribute.

Abstract: Providing information about two or more datasets. The method includes accessing metadata for two or more datasets. The method further includes displaying a comparison of the two or more datasets based on metadata for the two or more datasets.

Abstract: Methods and systems for solving a target value search problem using a multi-interval heuristic are presented. The methods and system identity a path, or paths, in a graph, whereby a connection graph is created and range sets are generated for each vertex in the connection graph. Range sets include one or more intervals. Thereafter, a best search is performed to identify a path, or paths, from a starting vertex to a goal vertex having a path value closest to a target value.

Abstract: Embodiments herein include a method of performing a computerized search of the electronic document based on a multi-term inclusive query supplied by the user. The process checks each search term match to determine if other terms in the query are in close enough proximity to allow the search term match to remain in the final search results that are eventually reported back to the user, even if such proximities span adjacent pages. More specifically, counts that span the adjacent pages comprise a count of items from a term on one page to a term on a second page adjacent to the first page so as to include a count of all terms between the terms in the counts that span adjacent pages of the printed publications.

Abstract: A computer system and method is disclosed for mining current and archived address data in order to identify a preferred address for each service point in a territory. The data mining system may start in response to the presentation of a candidate address for matching. The set of mined data may be prioritized by clustering like characteristics, building similarity matrices, and by constructing dendrograms with nodes joined according to common characteristics. A computer system and method for maintaining a central database of preferred addresses is also disclosed. Selected address data gathered in a queue may be scored by characteristic, grouped by consignee location, and staged for processing. The scored queue of data may be prioritized by clustering like characteristics, building similarity matrices, and by constructing dendrograms.

Abstract: Disclosed is a method and system of matching a string of symbols to a ruleset. The ruleset comprise a set of rules. The method includes ignoring begin anchor requirements when constructing a DFA from all the rules of the ruleset, annotating the accepting states of the DFA with the begin anchor information, executing the DFA, and checking begin anchor annotations to determine if begin anchor requirement are satisfied if an accepting state is reached. Embodiments also include rulesets with begin anchors on matches, rulesets with early exit information on non-accepting states, and rulesets with accept begin anchors in accepting states.

Abstract: A system and method is provided for automatically generating explanations for individual records in an access log.

Abstract: The invention relates to the field of data storage. In particular, it relates to a method and system for allowing flexible creation and management of associations between informational entities on a computing device, such as a work station, a desktop computer, a tablet PC, a laptop computer and/or a mobile device. A storage system configured for storing a network of informational entities is described. The system comprises a storage medium configured to store a plurality of informational entities; to store a corresponding plurality of association records; wherein an association record corresponding to an entity indicates an association and an association strength between the entity and another entity; and to store a corresponding plurality of frequency indicators, wherein a frequency indicator corresponding to the entity indicates the frequency of access to the entity. Furthermore, the system comprises a processor configured to access the plurality of informational entities.

Abstract: Computerized methods, data processing systems, and computer program products for storing of data mining models (DMMs) are provided. A new 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. The priorities depend at least on access frequencies of the DMMs. Upon a data mining request, a corresponding DMM is determined and a user is requested to confirm that data mining is to proceed if quality of the determined DMM does not fulfill a further predefined criterion.

Abstract: A text mining apparatus, a text mining method, and a program are provided that enable the influence that computer processing errors have on mining results to be reduced during text mining performed on a plurality of text data pieces including a text data piece generated by computer processing. A text mining apparatus 1 to be used includes an inherent portion extraction unit 6 that, for each of a plurality of text data pieces including a text data piece generated by computer processing, extracts an inherent portion of the text data piece relative to another of the text data pieces, an inherent confidence setting unit 7 that, for each inherent portion of each of the text data pieces, sets inherent confidence indicating confidence of the inherent portion, using the confidence that has been set for each of the text data pieces, and a mining processing unit 8 that performs text mining on each inherent portion of each of the text data pieces, using the inherent confidence.

Abstract: Methods, computer readable media, and apparatuses for managing initiative consolidation are presented. According to one or more aspects, information about at least two new projects may be received. Subsequently, the information may be analyzed to identify one or more commonalities between the at least two new projects. Thereafter, it may be determined, based on the identified commonalities, to bundle the at least two new projects for one or more testing phases. In one or more arrangements, receiving information about the at least two new projects may include extracting, from one or more project design documents, a job listing for each project, where each job listing identifies one or more jobs included in each project. In some arrangements, a cost-benefit analysis may be generated to calculate potential savings associated with bundling the at least two new projects for the one or more testing phases.

Abstract: An outgoing message monitor is provided. In an embodiment, outgoing messages are monitored to detect potential errors and alerts may be triggered. Using information about a message such as an email, a first classifier classifies the email into an expected class and a second classifier classifies the email into an actual class. On the basis of a comparison of the expected and actual classes an alert may be triggered. In an embodiment, the second classifier uses information derived from text content of the email which may optionally be pre-processed. The first classifier, for example, uses other information about the email such as its intended recipients, information about the presence of attachments, information about whether the email is part of a thread and other information.

Abstract: In one embodiment, a system and method of predicting sale transaction conversion rate of an item operates through a search of information in response to a query over a network. The system and method can includes discovering available information of the item of interest, extracting certain of the available information of the item, analyzing the certain information by comparing the information to other item information, weighting the information for the item in comparison to other items of the category, calculating a predictive score for the item of interest, and presenting the information of the item of interest ranked according to the predictive score as compared to other items of the category.

Abstract: Methods and apparatus to methods and apparatus to identify images in print advertisements are disclosed. An example method comprises computing a first image feature vector for a first presented image, comparing the first image feature vector to a second image feature vector, and when the first image feature vector matches the second image feature vector, storing printed-media information associated with the first presented image in a database record associated with the second image feature vector.

Abstract: A system, system, method, and computer program product are provided for augmenting a user profile utilizing data collected in association with a social network service profile. In use, a first profile of a user managed by an entity is identified. Additionally, a second profile of the user maintained by a social network service separate from the entity is identified. Further, data associated with the second profile of the user is collected. Moreover, the first profile of the user is augmented utilizing the data.

Abstract: A computer implemented method and system provide for automatic selection and extraction of metadata and media content from projects in a craft tool. Automated identification, classification and management of such metadata and content is provided using including techniques such as pattern recognition for audio and visual content. The automatic tracking and centralised storage of metadata and content for compliance purposes can be facilitated, and can enable querying of organised metadata stored in a central database. In an example, metadata and media content are extracted automatically from a project in a craft tool at a client system and are forwarded to a host system for the creation of a cue sheet including timings for media files from timing metadata in a project file to create the timings on the cue sheet.

Abstract: In a method of identifying unusual combinations of values in data (1) that is arranged in rows and columns, the data is pre-processed to put it into a form (4, 5) suitable for application of a search method thereto. Using said search method, the pre-processed data is searched (8) to search the set of possible combinations of unique values from the columns to find any combinations that are unusual according to an evaluation metric.

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: A method of analyzing customer behavior, where customers are engaged in customer-to-customer transactions in a third-party network, includes a transformation of data representing the customer-to-customer transactions from a data representation to a network representation, and then analyzing the network representation. The network representation includes a set of nodes and a set of links where each node represents a customer and each link represents a transaction between two of the customers.

Abstract: A method, system and computer program product is disclosed for intelligent data mining. The method comprises receiving an event from an application, assigning property weights to properties of the event, and building a query from these properties based on the property weights. The method further comprises assigning search engine weights to a group of search engines, selecting at least some of the search engines based on the search engine weights, and sending the built query to the selected search engines. Results from the selected search engines are stored in a knowledge repository and used to adjust the property weights and the search engine weights. The invention may be used to provide an analysis with information about a problem, and to manage a solutions database which can be used for problem determination. The invention provides a low cost solution for collecting relevant information from online sources.

Abstract: In one or more embodiments described herein, there is provided an apparatus having a processor, and at least one memory including computer program code. The memory and the computer program code are configured to, with the at least one processor, cause the apparatus to perform the following. Firstly, the apparatus is caused to identify, based on received gesture command signalling associated with two or more content items, one or more common aspects of metadata for those two or more content items. Secondly, the apparatus is caused to use an identified common aspect of said metadata to search for other content items with metadata in common to the identified common aspect of metadata.

Abstract: Computer-storage media, methods, and systems for improving the ability of a user to accomplish a task that is pending during a search session are provided. This pending task can be distilled by identifying a current searching intent associated with a recently submitted query and by determining which candidate tasks are most comparable to the current searching intent of a user. The candidate tasks are mined from a search history of the user by categorizing those navigation events that appear to share a semantically common concept. Upon performing a comparison, the candidate task that captures the user's true current searching intent is designated as the pending task. When a user invokes the pending task, a collection of elements that are associated with the pending task are dynamically organized into a sharable content page, thereby providing a collaborative experience that involves exposing the collection to contacts and accepting feedback therefrom.

Abstract: A computer implemented method 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.

Abstract: A search extent setting unit that identify a layer made to correspond to an asset specified by referencing a first database for recording assets made to correspond to each of users by relating each of the assets to a first layer that is a layer related to a virtual system individually used by each of the users, or to a second layer that is a layer related to hardware and software, and to set an extent for extracting information about other assets having a relationship with the specified asset according to a layer of the specified asset, and an extracting unit that extract other assets that have a relationship with the specified asset and are present in the extent set by referencing the first database and a second database for recording information indicating a relationship among the assets, and the first database based on the first asset.

Abstract: A computer implemented method for displaying real-time computer mediated user consumption data, comprising: accessing consumption data corresponding to real-time computer mediated user consumption behavior; parsing the consumption data to identify one or more events comprising one or more instances of consumption data and wherein each event is associated with a user; adding the events to an event stack comprising a predetermined stack limit; and storing the consumption data for each event in a data structure configured to correlate related consumption data and provide a temporal context to the stored consumption data wherein addition of graphical symbols to a visualization display is responsive to the arrangement of the consumption data in the data structure.

Abstract: Embodiments of the present invention provide a method, system and computer program product for inferred user identity in content distribution. In an embodiment of the invention, a method for inferred user identity in content distribution includes retrieving a set of data of a particular classification from a data store of a computing device of an unidentified user requesting access to content in a content distribution system. The method further includes comparing the set of data of the particular classification to known patterns of data of the particular classification corresponding to different known users. The method yet further includes inferring an identity of the unidentified user based upon at least a partial matching of the compared set of data of the particular classification and known patterns of data of the particular classification. Finally, the method includes managing user interactions of the unidentified user based upon the inferred identity.

Abstract: In a mobile terminal, user search information used in a Location Based Service (LBS) application is stored. A user search pattern is determined from the user search information. User search pattern information corresponding to search condition data is extracted and displayed when the search condition data are input in a search pattern mode of the LBS application.

Abstract: A new process called a vector approximation graph (VA-graph) leverages a tree based vector quantizer to quickly learn the topological structure of the data. It then uses the learned topology to enhance the performance of the vector quantizer. A method for analyzing data comprises receiving data, partitioning the data and generating a tree based on the partitions, learning a topology of a distribution of the data, and finding a best matching unit in the data using the learned topology.

Abstract: The hierarchical relationships between objects in different levels of an object structure (such as a contract) are stored as elements in two-dimensional matrix representations. In general, the matrix representations facilitate queries, clustering of like objects and contracts, and comparisons that identify common objects and contracts.

Abstract: In one embodiment, a system and method of predicting sale transaction conversion rate of an item operates through a search of information in response to a query over a network. The system and method can includes discovering available information of the item of interest, extracting certain of the available information of the item, analyzing the certain information by comparing the information to other item information, weighting the information for the item in comparison to other items of the category, calculating a predictive score for the item of interest, and presenting the information of the item of interest ranked according to the predictive score as compared to other items of the category.

Abstract: A method is illustrated as retrieving a plurality of search queries and defining relationships between search queries in the plurality of search queries based on semantic data associated with the search queries. A visual representation of the plurality of search queries may be generated and the visual representation may be partitioned into a plurality of tiles, each tile representing a predefined portion of the visual representation.

Abstract: Described herein are methods, systems, apparatuses and products for automatically discovering patterns in a text corpus. An aspect provides extracting at least one context string related to at least one annotator from the at least one text corpus; analyzing the at least one context string for at least one sequence, the at least one sequence comprised of at least one subsequence; determining at least one sequence signature for each at least one sequence by applying applicable rules to the at least one sequence; and grouping the at least one sequence signature into at least one group.

Abstract: This invention provides a terminal searching for web pages on the web and extracting the prescribed data from the web pages and a server verifying and accumulating the extracted data. The prescribed data can be extracted from the web pages on the web in a manner that the process relating to the data extraction is distributed between the terminal and the server. Therefore, necessary processes up to the data extraction are distributed, and the burden placed on each apparatus can be lessened. Further, new data not formerly found in the web pages can be found out and extracted from the web pages that has been updated or newly made.

Abstract: A method, system and apparatus is provided for identifying pharmaceutical products. A database of known pharmaceuticals is provided with links to virtual 3D models of each pharmaceutical. When a pill needs to be identified, an image of the pill is transmitted to the database CPU. The CPU screens out non-matching records and obtains perspective data. based on the orientation of the pill. The CPU manipulates a 3D model into the same perspective as the pill to facilitate identification.