Abstract: A system and a related method are provided for associating a user of an electronic system with a demographic. Input behavioral data is captured related to measured interactions with at least one input device. The input data is compared to probability distribution representations for a demographic group and for a wide population, performing the measured interaction(s). The system is configured to associate the user to a demographic group a prescribed threshold is met, based on the comparing.

Abstract: An apparatus receives an instruction indicating a time when a query for the data acquisition is to be executed. The apparatus executes the query at the time indicated in the received instruction, and generates a document using data acquired from the execution of the query.

Abstract: An anonymous reporting system for use in reporting and following up on incidents, accidents, and the like. The system may be accessed via an Internet website. A reporting individual may select a type of incident to report. In one example, the reporting individual may select a level on anonymity and some, none or all of the individual's personal identification is displayed to the organization according to the selected level.

Abstract: There are provided methods and systems to identify an item based on data inferred from information about the item. Information is received that is descriptive of an item capable of being listed on an information storage and retrieval platform. The information is associated with an aspect-value pair, which is an aspect of the item and a value of the aspect and is inferred from the information. An expression of an interest of a user in an additional item is received. The expression is associated with the aspect-value pair. In response to the associating of the expression with the aspect-value pair, the item is identified as the additional item.

Abstract: Separate subsystems are dedicated to handle fact and dimension data storage and retrieval in an optimized manner. Each subsystem acquires, processes, and stores its data separately in a manner appropriate to the characteristics of that data. A query engine combines the data from each subsystem at query time. When a user queries the system, the query engine interacts with each of the subsystems to fetch the data needed to generate a single result set.

Abstract: A metrics generation system provides IT and other computing system metrics from different data sources in a single display. Configuration files containing parameters and instructions are loaded by the system to access different data sources. The metrics generation system retrieves IT system health data, processes and aggregates metrics from the retrieved data and displays the metrics based on user defined parameters and instructions in the configuration files. The metrics generation system is flexible in that it can be changed to extract data from different IT data sources, calculate different metric information having a hierarchy of attribute types and values, and display a variety of metric data in different formats.

Abstract: A method of timing and recording user activity in a knowledge archival and recollection system, the method comprising: configuring an activity tracking module; logging into the knowledge archival and recollection system; prompting the user with a task identifier input interface upon opening an application user interface; initiating a timer upon input into the input interface; stopping the timer upon inactive application interface; and storing timer data into a database server.

Abstract: A method and system for validating data. Warehouse data is generated by transforming source data via an ETL transformation model. A data cube is generated by transforming the warehouse data via an OLAP transformation model. A report dataset (MDS1) is generated from the data cube. A reference dataset (S) is generated from the source data. Whether MDS1 matches S is determined. If MDS1 doesn't match S, then an OLAP inverse transformation is performed on MDS1 to generate an OLAP dataset (MDS2) and whether MDS2 matches S is determined. If MDS1 doesn't match S and MDS2 does not match S, then an ETF inverse transformation is performed on MDS2 to generate an ETL dataset (MDS3) and whether MDS2 matches MDS1 and whether MDS3 matches S is determined. If MDS1 doesn't match S and MDS2 does not match S and MDS3 does not match S, then whether MDS3 matches MDS2 is determined.

Abstract: A system and method for representing, storing and retrieving real-world knowledge on a computer or network of computers is disclosed. Knowledge is broken down into permanent atomic “facts” which can be stored in a standard relational database and processed very efficiently. It also provides for the efficient querying of a knowledge base, efficient inference of new knowledge and translation into and out of natural language. Queries can also be processed with full natural language explanations of where the answers came from. The method can also be used in a distributed fashion enabling the system to be a large network of computers and the technology can be integrated into a web browser adding to the browser's functionality.

Abstract: Apparatus, systems, and methods may operate to monitor database system resource consumption over various time periods, in conjunction with scheduled data loading, data export, and query operations. Additional activities may include generating a database system resource consumption map based on the monitoring, and adjusting database system workload throttling to accommodate predicted database system resource consumption based on the resource consumption map and current system loading, prior to the current database resource consumption reaching a predefined critical consumption level. The current system loading may be induced by data loading, data export, or query activity. Other apparatus, systems, and methods are disclosed.

Abstract: Systems, methods and articles of manufacture are disclosed for generating an incremental ETL job from an instance of an abstract ETL operator model representing an exhaustive ETL job for loading data from a source schema to a target schema. In one embodiment, the abstract operator model may be extended to include incremental variants of operators of the abstract ETL operator model. From the instance of the abstract ETL operator model and from the extended ETL operator model, a corresponding instance of the extended ETL operator model may be generated. An incremental ETL job may be deployed from the instance of the extended ETL operator model. The incremental ETL job may be executed to load data from the source schema to the target schema.

Abstract: A system for defining a report comprises a processor and a memory. The processor is configured to retrieve a set of fields associated with a received indication of a familiar data instance; retrieve a set of report data sources, wherein the set of report data sources is associated with one or more fields selected from a set of fields associated with the familiar data instance; and define a report using a selected report data source from the set of report data sources. The memory is coupled to the processor and is configured to provide the processor with instructions.

Abstract: A method and a system for analyzing a data value of interest in a multidimensional database. The data value of interest is first identified in a structured report. The data source for the structured report is retrieved. A context for the data value of interest in the data source is collected, for example, by extracting a slicer from the structured report, by extracting members of master-detail pages, or by extracting a default measure from the structured report. An analysis specification based on the collected context is then built, and the data value of interest is analyzed using the analysis specification. The result from analyzing the data value of interest may be presented in an analysis view.

Abstract: A program (e.g., tv/movie program) retrieval support device includes the following units. A program-information-accumulation unit (102) accumulating pieces of program information. A program-search-criterion-input unit(101) receiving from a user a search criterion. A program-information-search unit (103) searching the pieces of program information accumulated in the program-information-accumulation unit (102) using the received search criterion. A program-information-display unit (104) displaying a list of pieces of program information found by the search. A program-information-user-selection unit (105) receiving from the user an input of pointing (selecting) a piece of program information from the displayed pieces of program information. A program-search-criterion-generation unit (106) determining whether or not the pointed program is a major program and if the pointed program is a major program then generating new search criteria for narrowing down the search range to be more similar to the selected program.

Abstract: A method for producing a summary A of data points in an unaggregated data stream wherein the data points are in the form of weighted keys (a, w) where a is a key and w is a weight, and the summary is a sample of k keys a with adjusted weights wa. A first reservoir L includes keys having adjusted weights which are additions of weights of individual data points of included keys and a second reservoir T includes keys having adjusted weights which are each equal to a threshold value ? whose value is adjusted based upon tests of new data points arriving in the data stream. The summary combines the keys and adjusted weights of the first reservoir L with the keys and adjusted weights of the second reservoir T to form the sample representing the data stream upon which further analysis may be performed.

Abstract: Embodiments relate to systems and methods for generating interpolated input data sets using reduced input source objects. A database can store operational data, such as financial, climate or other information. A user can input or access a set of target data, representing output the user wishes to be generated from an interpolated set of input data based on an interpolation function. Thus, the average air temperature of a region may be known for the last ten years, along with other inputs such as water temperature, wind speed, etc. The target data can include an expected average temperature for the current year. The interpolation engine can receive the target temperature, and interpolate other climate inputs that will produce the target output temperature. The interpolation engine can also reduce the number of predetermined data objects or the dimensions of input data sets to generate interpolated inputs based on more compact inputs.

Abstract: Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein.

Abstract: System and method for providing a common data model for SAN discovery and/or SAN monitoring information collected from heterogeneous SAN components. In one embodiment, a SAN management server may execute on a host computer and may translate data in one or more vendor-specific languages obtained from a heterogeneous vendor population into canonical data in a uniform language. In one embodiment, the SAN management server may execute a set of rules to convert heterogeneous SAN data obtained from heterogeneous interfaces into canonical data conforming to the common data model. In one embodiment, the canonical data may be stored in a persistent store, which may be queried for information that may be provided to the requestor in the canonical form of the common data model.

Abstract: A system for supporting OLAP analysis over a network. The system comprises an OLAP server for enabling an OLAP user to perform OLAP analysis via interaction with a client machine on the network. The system also includes a data aggregation module comprising a multi-dimensional datastore, an aggregation engine integrated with the multi-dimensional datastore, and a first interface for loading base data from a data source to the aggregation engine. The aggregation engine performs data aggregation operations on loaded base data, generates aggregated data from the base data, and stores the aggregated data in the multi-dimensional datastore. A second interface receives requests for OLAP analysis from the OLAP server, accesses the aggregation engine to retrieve from the multi-dimensional datastore, aggregated data corresponding to requests, and communicates the retrieved aggregated data to the OLAP server for query servicing, in a manner transparent to the OLAP user.

Abstract: Disclosed is a computer method and system for identifying significance of patterns across a plurality of data patterns, which involves identifying pattern types of the plurality of data patterns, determining a relative pattern significance factor to compare the pattern types. Determining the relative pattern significance factor further involves calculating a percentage change of an identified outlier from a median for a outlier pattern, calculating a value of a step change as a percentage of a last value of a step preceding the step change for a step change pattern and calculating a percentage change from a start value on the fitted curve to an end value on the fitted curve for a trend pattern. A ranked list of the pattern types are returned based on their corresponding relative pattern significant factors.

Abstract: Methods, systems, and articles of manufacture for accessing data stored in multiple data sources. Such methods employ an automated software agent to maintain a collection of data sources available for querying. The data sources may all reside within a single local network or may be distributed throughout multiple locations. Generally, the automated software agent searches a given domain for additional data sources according to a defined set of selection criteria. After discovering an additional data source, the automated software agent configures a query application to reflect the availability the additional data source. Further, the automated software agent may periodically evaluate the collection of data sources against the selection criteria and remove those that are either no longer available or no longer satisfy the selection criteria.

Abstract: A sequence online analytical processing (S-OLAP) system 50 for analysing an event database (41) storing events (12), the system (50) comprising: an S-OLAP engine (53) to compute an S-cuboid (49) for a query on the event database (41); a sequence query engine (54) to form part of the S-cuboid (49) by performing the steps of: selection, clustering, sequence formation and sequence grouping; a cuboid repository (52) to store computed S-cuboids (49) and to be searched by the S-OLAP engine (53) for an S-cuboid query to determine whether an S-cuboid has previously been computed; and a sequence cache (56) to cache constructed sequence groups.

Abstract: An assessment of a request for change is made by first receiving the request for change. The request for change is compared with a plurality of stored requests for change that are stored in a change database. Then, a computation is made, using learned similarity functions, of a similarity value for each of the stored requests for change with respect to the received request for change. Feedback is received with respect to the similarity values. A training set of data is updated based on the received feedback. The updated training set of data is applied to a learning process, to obtain learned similarity functions. The similarity calculator is updated with the learned similarity functions. The similarity functions can be used to evaluate the risk of changes by looking at the impact of similar past changes.

Abstract: A method of organizing content items includes obtaining information (19-21) associating each of a first and at least one further label with respective sets of first content items. At least one first content item is associated with the first label in response to user input. A second content item is obtained. For each of the first and further labels, a similarity measure is calculated between a feature vector characterising the second content item and each of the feature vectors characterising first content items associated with the label. The first label is associated with the second content item upon determining that the second content item is similar to the first content items associated with the first label, according to calculated values of the similarity measure.

Abstract: Embodiments of the invention provide systems and methods for dynamically reporting information stored in a repository. According to one embodiment, a method for dynamically reporting information stored in one or more data repositories can comprise retrieving report metadata from a report repository. The report metadata can define a format for the report and identify one or more queries for the report. Query metadata can be retrieved from a query repository. The query metadata can define one or more queries, for example, Structured Query Language (SQL) queries. Retrieving the query metadata can be based on the one or more queries identified in the report metadata. The one or more queries defined by the query metadata can be performed on the one or more data repositories and a results matrix can be populated with results of performing the one or more queries defined in the query metadata.

Abstract: A method for training a computing system using keyboard biometric information. The method includes depressing two or more keys on a keyboard input device for a first sequence of keys. The method then determines a key press time for each of the two or more keys to provide a key press time characteristic in the first sequence of keys. The method also determines a flight time between a first key and a second key to provide a flight time characteristic in the first sequence of keys, the first key being within the two or more keys. The method includes storing the key press time characteristic and the flight time characteristic for the first sequence of keys, and displaying indications associated with the first sequence of keys on a display device provided on a portion of the keyboard input device.

Abstract: Apparatus and methods for creating a composite data source having a common data representation from disparate sources of voice data. Data transmission links are established to heterogeneous messaging data sources, requests for voice data is sent using data access protocols, the voice data is received, and a set of voice data transformation rules are selectively applied to the voice data to transform the data into a common data representation. The common data representation can also be used as a source for reporting and graphical displays to monitor the operational aspects of the sources of voice data.

Abstract: An explanatory people matching system and method matches people in accordance with inferences from usage behaviors, and delivers reasons for the matching to the matched people. The usage behaviors may include behaviors such as subscriptions and accesses to computer-implemented objects. The reasons for the matching that are delivered to the matched people may include references to usage behaviors, inferences of common interests, and/or expressions of interest between the matched people. Additional explanatory information may be provided upon request by the matched people.

Abstract: Methods and apparatuses are provided for adapting hierarchical structure information associated with a first ranking function tuned for use in a first domain for use in a second domain.

Abstract: A computer readable storage medium comprises executable instructions to provide a Graphical User Interface for displaying visualizations of a multi-dimensional database. An action is received within a visualization of a table of the multi-dimensional database, the action performed by a user when selecting a cell of the table. A slice in the visualization is populated in response to the action. The visualization is filtered to drill down on dimensions associated with the cell.

Abstract: The present invention provides a computer-implemented method of problem solving that includes graphically displaying a plurality of concepts, dynamic links between the concepts, and solving a problem based on the displayed concepts and dynamic links. Other embodiments include: a computer-readable medium having instructions thereon for causing a suitably programmed information-processing apparatus to perform a method of the problem solving that includes graphically displaying a plurality of concepts, displaying dynamic links between the concepts, and solving a problem based on the displayed concepts and dynamic links. Still other embodiments include a computerized apparatus that includes a display output unit, a display drive unit that causes a plurality of concepts to be displayed on the display unit, and that causes dynamic links between the concepts to be displayed, and a solution unit that solves a problem based on the displayed concepts and dynamic links, and that displays the solution.

Abstract: A query that is based on a predefined format of an arbitrary query language is received. A data analyzing component performs the query to obtain a query result. The query result and a report layout specification are provided from the data analyzing component to a data processing component, the data processing component being on a computer. The data processing component associates the query result with at least one element of the report layout specification to generate an association. The query result is provided from the data processing component through an interface based on the report layout specification without reliance on the type of the arbitrary query language to a rendering component. The report layout specification is provided from the data analyzing component to the rendering component to render the query result in a report according to the association without reliance on the type of the arbitrary query language.

Abstract: Embodiments of the invention relate to automated system problem diagnosing. An index is created with problem description information of previously diagnosed problems, a diagnosis for each problem, and a solution to each diagnosis. System states, traces and logs are extracted from a source system with a new problem. The problem diagnosis system generates problem description information of the new problem from the system states, traces and logs. Problem description information of the new problem is compared with problem description information in the problem description index. A search score is computed for each document in the problem description index. The search score is a measure of similarity between each document in the index and the description of the new problem. A matching score is assigned to each previously diagnosed problems based on the search score. The matching score is a measure of similarity between the new problem and each previously diagnosed problem.

Abstract: The present invention includes a rotation based transformation method for preserving data privacy. A rotation based transformation method according to an embodiment of the present invention divides a given data set into a plurality of data subsets, applies a plurality of different rotation matrixes to the plurality of divided data subsets, respectively, to rotate the plurality of data subsets, and re-concatenates the plurality of rotated data subsets to generate a rotated data set. The rotated data set is released and used for data clustering. The rotation based transformation method is effectively used when the impact of the AK-ICA attack is mitigated. Meanwhile, when the two parties are related to the present invention, the two parties need to agree on parameters, such as the number of data subsets. It is preferable that the data subsets be divided into equal sizes.

Abstract: A received report query specifies a dimension coordinate constraint and an associated grain for the dimension coordinate constraint. At least one query is generated to the dimensionally-modeled fact collection. A result of providing the at least one query to the dimensionally-modeled fact collection is processed. The processed result includes an indication of every dimension coordinate satisfying the dimension coordinate constraint and having a particular value at the associated grain, and the processed result further includes facts of the dimensionally-modeled fact collection that are specified by at least one other dimension coordinate indicated by the processed result having the particular value at the associated grain and not satisfying the dimension coordinate constraint.

Abstract: A system, method and computer readable storage medium is provided for collecting search requests from a variety of sources, analyzing those search requests in order to determine current trends in searches and other interne entries, and utilizing the search trend information to make enterprise data available to searching users through one or more access methods. One or more listening posts associated with a variety of data store sites accessible to searching users are configured to gather and perform initial filtering of the search requests to the associated sites and other entries. The search request information and other entry information is transmitted to one or more analysis servers that perform additional analysis of key words and phrases in order to categorize and score the searches and entries. Data mining techniques are then used to determine search trends of value to the enterprise performing such search trend analysis.

Abstract: An online behavior tracking system includes a unique ID module configured to determine attributes of a user device, and calculate a unique ID for a user from the attributes. The unique ID is used to track online behavior for the user across different domains. Also, the online behavior tracking system is used in a content evaluation system which delivers content treatments to users and tracks online behavior of the users in response to the delivered treatments.

Abstract: Cloud database is a single integrated universal database for enterprises, which provides a single database for online analytical processing (OLAP) and online transaction processing (OLTP) capabilities on the same database which stores real data. Cloud Database (cDB) can use any column oriented distributed database hosted on cluster of distributed file system to store the data into files. cDB uses divide and conquer principle to process the analytical queries. cDB hosts databases for various application which uses different database of different vendors. cDB adapter is interface between the enterprise application and cDB and handles query processing for the application.

Abstract: An operation procedure extrapolating system includes a history recording unit, a sort unit and an extrapolating unit. The history recording unit records history records of processes that at least one image processing apparatus is instructed to perform in a series of operation procedures. Each history record includes operator information, time information, content information and an object image. The sort unit sorts the history records into sets defined for individual operations, based on a comparison among the object images of the recorded history records. The extrapolating unit extrapolates operation procedures in at least one of the individual operations, based on the content information of the history records included in the set defined for the at least one of the individual operations and a sequence of the operator information of the history records included in the set defined for the at least one of the individual operations.

Abstract: A computer readable storage medium includes executable instructions to define a report part with a report part element and a report part identifier. A report part computation context including a report identifier, a report part element identifier and a context data path is identified. The report part is associated with the report part computation context. The report part is evaluated according to the report part computation context. A report part value is returned.

Abstract: An approach for systematically and objectively assessing the health of a web site, or other complex system, using two layers of information. A scoring method is used to provide an objective qualitative judgment, together with detailed areas of analysis if desired. A set of metrics is identified, and a health score for each metric is calculated based upon assessment parameters or angles, based upon the actual data and upon the expectations. The overall health score of the system is then calculated as a composite metric based upon the individual metric health scores. A total score, together with a visual representation of the individual metric scores, is presented to the end user. The two layers of information utilized in the general framework include the domain (which determines the set of metrics and assessment parameters, e.g., web site analysis) and the model (or processing desired, e.g., a scoring model or alert model).

Abstract: A method and system for identifying a subject of a document and facts included within are described. A source document that includes facts and linking documents that include hyperlinks to the source document are identified. The anchor texts of the hyperlinks are identified and candidate labels are generated based on the anchor texts. One of the candidate labels is selected based on first predefined criteria and associated with the source document and/or the facts included within the source document.

Abstract: A reporting program and system for updating a master copy of a geographic database is disclosed. According to the method and system, reports are obtained that relate to data contained in a geographic database. Satellite images of the geographic locations represented by the data in the reports are obtained. The satellite images are analyzed to confirm a need to make changes to the master copy of the geographic database based on the reports. After confirming the need to make the changes, the master copy of the geographic database is updated.

Abstract: A knowledge archival and recollection system accessible by a user, comprising: a data acquisition module in communication with a database server, a file archive and a database connectivity module; a data presentation module in communication with a report module and a search module; a timing module in communication with the database server; an automatic billing module in communication with a report module and database server; a messenger monitor module in communication with the database server, and the file archive; a database connectivity module in communication with the data acquisition module, the file archive, the database server, the report module, the search module, the automatic billing module, the timing module and the messenger monitor module; the system gathers user activity data and files accessed by user through the data acquisition module and archives the data and files on the database server and file archive for retrieval by each user.

Abstract: An analyzing apparatus extracts a plurality of sequence candidates for communications related to unauthorized access performed between a plurality of information processing apparatuses on a basis of communication histories stored in a storage unit storing the communication histories between the plurality of information processing apparatuses. The apparatus calculates and outputs an evaluation value representing a degree of probability that the respective plurality of sequence candidates are unauthorized accesses on a basis of normality of a transaction which is restorable by a second communication history excluding a first communication history corresponding to each of the plurality of sequence candidates, among the communication histories stored in the storage unit.

Abstract: A system and method of data correlation and analysis of past activities and prediction of future activity that includes establishing a database comprising structured metadata on at least one computer and a distributed system of networked computers having a plurality of access levels, configuring a database front-end to parse incoming data, the database front-end defining a plurality of entities and events, each having one or more attributes, and correlation IDs, which are user defined attribute relationships that correlate events and entities, collecting data, parsing the incoming data in the database front-end into structured metadata, the distributed analysis engine correlating the incoming structured metadata with structured metadata in the database and determining micro-patterns in the structured metadata, generating a graphical representation of a composite network of the determined micro-patterns as super-objects, and predicting future activity from the one or more super-objects representing the determi

Abstract: A method and system for generating, revealing, and delivering explanations of computer-based inferences of expected levels of interest between people is described. The inferences may be based, at least in part, on behavioral information. The method and system may include variations of a mutual commitment process that only reveals a first party's inferred or expressed interest in a second party if a reciprocal inferred or expressed interest is confirmed.

Abstract: Load shedding schemes for mining data streams. A scoring function is used to rank the importance of stream elements, and those elements with high importance are investigated. In the context of not knowing the exact feature values of a data stream, the use of a Markov model is proposed herein for predicting the feature distribution of a data stream. Based on the predicted feature distribution, one can make classification decisions to maximize the expected benefits. In addition, there is proposed herein the employment of a quality of decision (QoD) metric to measure the level of uncertainty in decisions and to guide load shedding. A load shedding scheme such as presented herein assigns available resources to multiple data streams to maximize the quality of classification decisions. Furthermore, such a load shedding scheme is able to learn and adapt to changing data characteristics in the data streams.

Abstract: A system and method is described herein that includes a software-based functionality to assess the relationship between reliability, operational, maintenance and plant betterment activities and to determine the frontier of efficient spending and other measures of performance to achieve a level of reliability that is based on data from units of similar design and performance.

Abstract: The invention relates to a method for detecting and eliminating SCR breach operations by a second party within the memory space allocated to a first party, in a multi-tasking system, which comprises: (a) pre-recording by the first party within a knowledge base the structure and/or behavior of an SCR stack; (b) implanting within the SCR stack a dedicated SCR for reporting on the structure and/or behavior of said SCR stack when the SCR stack is activated; (c) when the SCR stack is activated, comparing the data reported by the dedicated SCR with the pre-recorded stack structure and/or behavior; (d) whenever non-matching in the structure and/or behavior is found, ceasing the activity of the activated stack, and alerting.