Abstract: Tools and techniques are provided to assist detection of invalid clicks in website activity data. A system calculates or otherwise obtains a historic click quality characterization based on historic web analytics data. The system then identifies a click quality anomaly in the website activity data, namely, a departure from the historic click quality characterization. The identified anomalies may then be used to help guide searches for invalid clicks.

Abstract: Two selected checkpoints define a group of paths represented in an analytics database. One or more events which appear between the two checkpoints on each of a plurality of the paths are identified as common bridge events. Path analysis information is then output, such as a bridge event analysis including a list of website visitor common bridge events that are ranked by their frequency of appearance, the frequencies calculated without regard to where each visitor event appears on a given path.

Abstract: A computing device receives a request for data, the request including criteria for data requested to be provided to the client device. Via a service configured to retrieve the requested data, at least some of the criteria are transmitted to a staging data store that includes transactional data. Via the service, data relevant to at least some of the criteria transmitted to the staging data store is received from the staging database. The data received from the staging database is stored in a data structure included in the computing device. At least some of the data stored in the data structure is transmitted to a client device.

Abstract: A technique for monitoring software which efficiently communicates transaction trace data, including static and dynamic data, from an agent to a manager is disclosed. A tree data structure describes transactions as a sequence of transaction elements. Each branch may correspond to one type of transaction. The nodes along a branch may be associated with components of monitored software that are invoked to perform the transaction. A provisional branch may be constructed when an agent is unable to initially identify the transaction. Transaction data may be stored in association with the nodes in the provisional branch during the monitoring. After information needed to identify the transaction becomes available to the agent, the provisional branch is updated. The transaction data is reported in response to determining the branch in the tree data structure that matches the provisional branch.

Abstract: A system, method, and computer program product for learning objects and facts from documents. A source object and a source document are selected and a title pattern and a contextual pattern are identified based on the source object and the source document. A set of documents matching the title pattern and the contextual pattern are selected. For each document in the selected set, a name and one or more facts are identified by applying the title pattern and the contextual pattern to the document. Objects are identified or created based on the identified names and associated with the identified facts.

Abstract: A computer-implemented method includes accessing a plurality of data records, each data record having a plurality of data fields. The method further includes analyzing values for one or more of the data fields for at least some of the plurality of data records and generating a profile of the plurality of data records based on the analyzing. The method further includes formulating at least one subsetting rule based on the profile; and selecting a subset of data records from the plurality of data records based on the at least one subsetting rule.

Abstract: A system and method for populating and analyzing a member consumer profile database for implementing an incentive driven targeted product marketing program is disclosed. To implement the targeted product marketing program, personal profile information is collected from several member consumers and stored in a profile database. A group of the member consumers are identified and selected, and the promotion operator provides a promotion to this group on behalf of a sponsor. During and/or after the promotion, information is solicited from the member consumer about the promotion in exchange for rewards. In addition, interactive behavior information of the member consumer is tracked. The solicited information and the interactive behavior information can then be used to enrich the profile database for future promotions.

Abstract: Improved method of and apparatus for aggregating data elements in multidimensional databases (MDDB). In the preferred embodiment, the apparatus is realized in the form of a high-performance stand-alone (i.e. external) aggregation server which can be plugged-into conventional MOLAP systems to achieve significant improvements in system performance. In accordance with the principles of the present invention, the stand-alone aggregation server contains a scalable MDDB and a high-performance aggregation engine that are integrated into the modular architecture of the aggregation server. The stand-alone aggregation server of the present invention can uniformly distribute data elements among a plurality of processors, for balanced loading and processing, and therefore is highly scalable.

Abstract: According to one aspect of the invention, for a database statement that specifies evaluating reporting window functions, a computation-pushdown execution strategy may be used for the database statement. The computation-pushdown execution plan includes producer operators and consolidation operators. Each producer operator computes a respective partial aggregation for each reporting window function based on a subset of rows, and broadcasts the respective partial aggregation. Each consolidation operator fully aggregates all partial aggregations broadcasted from the producer operators. Alternatively, an extended-data-distribution-key execution plan may be used. Each producer operator sends rows based on hash keys to sort operators for computing partial aggregations for at least one reporting window function based on a subset of rows. Each consolidation operator receives and fully aggregates all partial aggregations broadcasted from the sort operators.

Abstract: A system and method are provided for the collection of business performance data and the identification of patterns or rules from such data that are key predictors of future business performance. The performance data are preferably collected using one or several questionnaires containing a plurality of questions that probe into specific performance areas of companies. The questionnaires are used to collect responses applicable to a plurality of companies and the responses applicable to each company are stored in a database as separate company profiles to define the knowledge-base from which a rule induction engine may identify the key discriminators of business performance.

Abstract: Improved method of and apparatus for aggregating data elements in multidimensional databases (MDDB). In the preferred embodiment, the apparatus is realized in the form of a high-performance stand-alone (i.e. external) aggregation server which can be plugged-into conventional MOLAP systems to achieve significant improvements in system performance. In accordance with the principles of the present invention, the stand-alone aggregation server contains a scalable MDDB and a high-performance aggregation engine that are integrated into the modular architecture of the aggregation server. The stand-alone aggregation server of the present invention can uniformly distribute data elements among a plurality of processors, for balanced loading and processing, and therefore is highly scalable.

Abstract: Disclosed herein are representative embodiments of tools and techniques for reusing derived measures of cubes in customized cubes. According to one exemplary technique, a base cube of a customized cube is determined. Additionally, a footprint of a derived measure of the base cube is determined. Also, a report that uses the customized cube is generated using the derived measure of the base cube.

Abstract: A system in accordance with the present invention may include one or more processors, memory from which the processor may fetch instructions according to a clock operating at a frequency, a display device, and one or more programs stored in the memory, with instructions to create a structured file for storing data related to the media presentation, access the data related to the media presentation from the presentation application, organize the data related to the media presentation according to an event, and export the organized data related to the media presentation to the structured file. These instructions may also be executed as steps of a method and may be fetched during the execution of one or more programs stored in a computer-readable storage medium.

Abstract: There are provided systems and methods that can assist interactively a knowledge user/contributor to obtain a straight answer to his/her request for knowledge about one or more subject matter, can mediates a large group of unknown inquirers and present them with distilled stage of knowledge related to a subject matter, and/or can guide and assist, individually or socially, to find or discover credible and value significant knowledge at much faster rate than the current traditional method of using search engine directories, social networking, blogging, and bookmarking websites. The methods, systems and services of the presented disclosure can significantly increase productivity of knowledge-based users and quality of their work.

Abstract: A system and method to batch and collate construction notices, legal notices, and other documents by recipient, such that multiple notices can be sent in a single mailing, and to allow for these document batches to accumulate over time until the approaching of a deadline for the document's delivery.

Abstract: A method includes recording a report navigation workflow followed by any of a plurality of users. The recorded report navigation workflow included data identifying an ordered series of reports selected from a plurality of reports. The report navigation workflow is electronically saved. The acts of recording and saving are repeated to maintain a report knowledgebase. The report knowledgebase is utilized to guide a subsequent report navigation for one of the plurality of users.

Abstract: Embodiments of the invention provide systems and methods for presenting a quantitative view of a set of information made up a number of messages. For example, these messages can comprise emails, Short Message Service (SMS) messages, Multimedia Message Service (MMS) messages, Instant Messages, and/or any of a variety of other types of messages related to an application, process, resource, etc. of a system. Embodiments of the present invention provide for categorizing each of the messages, quantifying each category based on the messages therein, applying a weight to each of the quantified categories, plotting the weighted and quantified categories on a matrix, and presenting the matrix as a summary of the weighted and quantified categories. For example, the matrix may be presented in a dashboard, portal, or other element of a user interface of an application to which the messages are related.

Abstract: A method includes classifying a relationship between a first group and each of one or more additional groups based on at least one of a number of communications during a time period and a frequency of the communications. The communications are between one or more members of the first group and one or more members of each of the one or more additional groups. The method includes generating social network data based on the relationship between the first group and each of the one or more additional groups.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for disambiguation of aliases. A method includes selecting a particular alias, selecting one or more past communications in which the particular alias is used, identifying an item of recipient contact information associated with the selected past communication, identifying a contact record associated with the recipient contact information, and for each contact record, generating or updating a score for the alias, and storing the score in association with the contact record.

Abstract: The present invention relates to the generation of customised documents using document templates or master documents in a document generation system. In particular, the present invention relates to master documents requiring information specifying various definitions used in the document generation process.

Abstract: In one embodiment, a scheduled collaboration session in a social network is detected, the scheduled collaboration session to occur at a time in the future and at that time provide real-time communication among participants. A plurality of participants expected to attend the scheduled collaboration session are detected. A subject matter of the scheduled collaboration session is detected. One or more key words are derived from the detected subject matter of the scheduled collaboration session. Profiles maintained in the social network for the plurality of participants expected to attend the scheduled collaboration session are updated based on the one or more key words, the updating to include refining an area of expertise indicated in the profiles.

Abstract: A system and method determines analyzes usage of an online mapping system by users, determines popularity of geographic regions and stores the processed data which is optionally in a visual data layer over the map.

Abstract: One embodiment of the disclosure relates to a method of detecting a change in the state of a system. The method comprises embedding time series data relating to the system within a reconstructed phase space having a D-dimensional embedding dimension. D is greater than two. The method further comprises enclosing the reconstructed phase space in a D-dimensional bounding space and partitioning the bounding space into a plurality of regions. The method further comprises generating a matrix having a plurality of cells. The matrix comprises a row and a column for each of the plurality of regions. A value stored in each cell is based on a probability that the system will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded data within at least one of the first region and the second region.

Abstract: A method of detecting a change in the state of a system is provided. The method comprises embedding time series data relating to the system within a reconstructed phase space. The method further comprises partitioning the reconstructed phase space into a plurality of regions. The method further comprises generating a matrix having a plurality of cells. The matrix comprises a row and a column for each of the plurality of regions. A value stored in each cell is based on a probability that the system will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded data within at least one of the first region and the second region.

Abstract: An interactive and intelligent user interface for inputting a query, generating a query result including one or more matching concepts stored in a knowledgebase of one or more media types, and presenting the user with a rich personalized query result based on the user's preferences and personal information, and provides improved relevant search results.

Abstract: Summarizing a set of reviews is disclosed. In some embodiments, a set of reviews is analyzed, e.g., by an at least partially automated process. A summary of the information included in the set of reviews is provided. The summary includes a visual indication of a range and distribution of opinions expressed in the set of reviews. In some embodiments, the set of reviews includes reviews from one or more members of an online or other user community, such as customers of an online store, subscribers to a podcast, blog, or other online source of content, etc.

Abstract: The various embodiments herein provide a method for providing a personalization solution based on a multi-dimensional data. The method comprises of identifying a target event for personalization, profiling a plurality of entities associated with the target event, identifying a plurality of attributes adapted for predicting the target event, identifying one or more relevant attributes from the plurality of attributes, determining a personalization context associated with the target event, identifying at least one analysis algorithm for processing the identified target event and creating a predictive analytical model for building an optimal personalization solution. The target event is a personalization task which is formulated by analyzing an interaction between the plurality of entities. The plurality of entities are explanatory factors adapted for predicting an outcome of the target event.

Abstract: Some aspects include reception of a selection of a part of a report, the selected report part associated with queries of a semantic layer, and creation of a description of a Web Service call to return contents of the selected report part. In some aspects, a Web Service call associated with a part of a report is received, the report part associated with queries of a semantic layer, and a query is determined based on the Web Service call to return contents of the report part.

Abstract: A method for creating a data warehousing scheme having optimally selected components. A mathematical model of a goal for the data warehousing scheme is input into an optimization engine. At least one constraint on the data warehousing scheme is input into the optimization engine. A mathematical optimization algorithm is performed using the optimization engine, wherein an output of the optimization engine is an optimized data warehousing scheme having optimally selected components. The optimized data warehousing scheme can be stored.

Abstract: A system for reconciling object for a configuration management databases employs statistical rules to reduce the amount of manual identification required by conventional reconciliation techniques. As users manually identify matches between source and target datasets, statistical rules are developed based on the criteria used for matching. Those statistical rules are then used for future matching. A threshold value is adjusted as the statistical rules are used, incrementing the threshold value when the rule successfully matches source and target objects. If the threshold value exceeds a predetermined acceptance value, the system may automatically accept a match made by a statistical rule. Otherwise, suggestions of possibly applicable rules may be presented to a user, who may use the suggested rules to match objects, causing adjustment of the threshold value associated with the suggested rules used.

Abstract: Interest-driven business intelligence server systems that provide performance metadata are described. In the disclosed embodiments, an interest-driven business intelligence server system receives a report specification. The report specification includes at least reporting data requirement. The interest-driven business intelligence server determines performance metadata information for an interest-driven data pipeline that is utilized to generate reporting data based on the report specification. The performance metadata information for the interest-driven data pipeline is transmitted to an interest-driven user visualization system by the interest-driven business intelligence server system.

Abstract: A method and a system for managing enterprise data are provided. The system comprises a processor and a memory coupled to the processor. The memory comprises a definition module defining a Data Management Architecture (DMA). Further, the DMA comprises at least one of an enterprise portal, an enterprise model, at least one adaptor, and a set of metrics. The enterprise portal comprises a set of service tools. The set of service tools is configured to perform a set of services on the data. The enterprise model is configured to analyze an enterprise process to create and modify enterprise metadata of the data originating from the enterprise process. Further, the adapter is configured to communicate with a data source associated with the enterprise process for extracting the enterprise metadata from the data source. Furthermore, the set of metrics may represent an analysis of the data.

Abstract: A computer system and database adapted to help with the synthesis and assembly of informational units (lexemes) required for the preparation of professional reports. The system works iteratively, and uses certain characteristics of professional reports to predict which lexemes a user is likely to need at each iteration, allowing the user to select the most useful lexemes from a very large number of lexemes stored in a lexicon for this purpose. The characteristics of professional reports that enable the process of selection include context, predicance and coherence. The report, consisting of an assembly of lexemes, can be exported as text files having different linguistic styles, or as computer code permitting efficient retrieval and computerized analysis of the content of the report for billing, administration, or research.

Abstract: A system and method for processing a base vector derived from data stored in an OLAP cube. The system comprises a component configured for defining a base vector and a comparison vector, wherein the comparison vector comprises one or more dimensions corresponding to dimensions of the base vector. The system includes a component configured for defining a time scope associated with the base vector. The system further comprises a component configured for performing one or more analysis operations on the comparison vector to generate comparison values and a component configured for rendering the base and comparison vectors. According to another aspect, the system includes a component for altering or modifying individual data cells in the base vector and/or parameters associated with the base vector and/or analysis operation.

Abstract: Information processing techniques are disclosed for managing knowledge across a distributed entity. For example, a method comprises the following steps. A database of information is maintained representing knowledge attributable to at least one distributed entity. An interface is provided for presenting at least a portion of the information maintained in the database and for presenting one or more responses to one or more queries to the database. At least a portion of the one or more responses is indicative of at least one of an expansion, a transfer and a leveraging of the knowledge attributable to the at least one distributed entity.

Abstract: The described embodiments contemplate a system, method and computer-readable medium with computer-executable instructions for managing an information technology network. The novel system includes a network of data sources and a federated configuration management database capable of communicating with the data sources. The data sources also may be federated. The federated configuration database management identifies among the data sources. The system also includes a core database that is capable of communicating with the federated configuration management database. The core database defines relationships of the data sources with a business practice.

Abstract: A method is provided in one example and includes receiving first sets of metadata elements representing an inventory of objects in a data storage location of a network environment and presenting an inventory view of the objects to a user. The inventory view includes a first summary of the inventory objects. The method further includes receiving a request from the user to manipulate the inventory view based on a first selected dimension group and presenting to the user a manipulated inventory view that includes a second summary of a first subset of the inventory objects. In more specific embodiments, the method includes receiving a request from the user to perform a protection task on objects of the first subset and initiating the protection task. The protection task includes one of applying a remediation policy to the objects of the first subset and registering the objects of the first subset.

Abstract: Search query analytic reports may assist a website operator in understanding web traffic patterns in relation to the website. A search query analytic report may be generated by receiving web search data for a website from multiple data sources and assigning the web search data into multiple website-specific categories of the website. The web search data is then analyzed based on the website-specific categories to generate the search query analytic report. Server status reports may provide details on errors in the indexing of web pages stored on a server that hosts a website. A server status report may be generated by analyzing the server log data to determine web page indexing behaviors of the one or more web crawlers with respect to the web pages stored on the server.

Abstract: A computer implemented method, system, and/or computer program product generates technical business data requirements from functional process requirements. Such method, system, and/or computer program product include data processing infrastructure. The data processing infrastructure may further include at least one data persistence component and at least one business process hierarchy. The computer implemented method, system, and/or computer program product obtain a set of technical elements concerning functional process requirements for each business process within the business process hierarchy. Such method, system, and/or computer program product classify technical elements into functional objects, link each of the functional objects to at least one process within the business process hierarchy and generate a plurality of business data roadmap templates in the data processing infrastructure.

Abstract: A method of evaluating an implementation of a DBMS is provided. The method comprises collecting data associated with the implementation of the DBMS and accessing a database comprising problems and their associated solutions, wherein the solutions are configured to remedy at least one of the problems. The method further comprises comparing the data associated with the implementation of the DBMS with the problems and identifying at least one problem associated with the DBMS. Finally, a DBMS risk assessment report is generated that identifies the problem associated with the DBMS and a solution configured to remedy the problem.

Abstract: In an apparatus for generating a series, a task discrimination unit identifies a task executed on a first device and tasks executed on a second device, on the basis of messages exchanged between those devices. A memory stores models defining caller-callee relationships between caller tasks on the first device and callee tasks on the second device. A series grouping unit produces a series of tasks from a callee-eligible sequence of tasks executed on the second device during a processing time of the identified task on the first device. The series grouping unit achieves this by selecting one of the models that defines the identified task on the first device as a caller task and extracting a portion of the callee-eligible sequence that matches at least in part with the callee tasks defined in the selected model while excluding therefrom the tasks that cannot be the callee tasks.

Abstract: A system, a method and a computer program product for managing activities in project management. The system includes an activity sensor for collecting activity data from user inputs and event logs; a model builder for creating a project model by integrating said activity data with project tasks; and a central repository for storing the project model created by said model builder. The method includes steps for collecting activity data from user inputs and event logs; creating a project model by integrating said activity data with project tasks; and storing the created project model. Accordingly, the project manager can track various activities that occurred during the project and team members can share information and knowledge.

Abstract: Disclosed herein are representative embodiments of tools and techniques for reusing derived measures of cubes in customized cubes. According to one exemplary technique, a base cube of a customized cube is determined. Additionally, a footprint of a derived measure of the base cube is determined. Also, a report that uses the customized cube is generated using the derived measure of the base cube.

Abstract: An optical image of a check is obtained at the approximate time of a check-based financial transaction and the approximate time of the check-based financial transaction is recorded. Geographical position/location data and/or voice memo data is then obtained at, or about, the time the optical image of the check is obtained. Optical Character Recognition (OCR) technology is then used to extract image-based financial transaction data from the optical image of the check and the geographical position/location data, and/or voice memo data, is also transformed into financial transaction data associated with the check and the check-based financial transaction. The extracted and/or transformed financial transaction data is then used, at least in part, to automatically assign a financial category to the check-based financial transaction and/or transform the category status of the check-based financial transaction.

Abstract: A system and computer implemented method, in the case of pre-employment screening and where other commercial goods and services require review of an individual (ie an Applicant), wherein a Reviewer uses an automated, efficient permission based system to identify and access private and semi-private information of an Applicant maintained in their social network accounts, with particular benefit where these have privacy settings. The system initiates a Reviewer request, automates the Applicant's identification of and approval to their social network and automates the retrieval of relevant information and reporting to the Reviewer. The process can be initiated by either the Reviewer or the Applicant. The system filters for potential legally discriminatory protected class information from the Reviewer residing in social network accounts and returns relevant information in an efficient, automated and permission based manner.

Abstract: Methods, articles of manufacture and systems for managing execution of workflows. One embodiment provides a computer-implemented method for managing execution of a data driven multi-step workflow. The method includes receiving input data for a step of the workflow and performing the step of the workflow on the input data to obtain a result set. Then, at least one rule is applied to the result set for determining whether one or more associated conditions are satisfied. The at least one rule defines the one or more associated conditions and an associated process. If the one or more associated conditions are satisfied, the associated process is performed on the result set.

Abstract: In one embodiment the present invention includes a computer implemented method of relating data and generating reports. The method includes storing, by an OLAP system, a network data structure that relates a plurality of data objects. The method further includes storing transactional data in an in-memory database in the OLAP system. The method further includes generating, by the OLAP system, a report using the stored transactional data according to the network data structure. In this manner, deficiencies of the traditional star schema paradigm of data warehousing may be avoided.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to arbitrating polling results and provide a novel and non-obvious method, system and computer program product for collaborative arbitration of polling results in a collaborative environment. In an embodiment of the invention, a method for collaborative arbitration of polling results in a collaborative environment can be provided. The method can include placing a poll within a message and sending the message to a select group of collaborators in the collaborative environment. The method further can include receiving poll results from a collaborator in the select group in a reply to the message, extracting the poll results from the reply and placing the poll within a new message along with the extracted poll results. Thereafter, the new message can be sent to the select group.

Abstract: A method for updating speed limit, service stop location, or other attributes for road segments in a digital map (18) by extrapolating probe data from a subset of probe data which has been profiled to have originated from trustworthy probe traces. Probe measurements from a plurality of probes is collected and profiled against known information. From this, a subset of trustworthy probes is identified, comprising those probe traces which observe the known attribute of interest within an acceptable range for a majority of the driving time. These trustworthy probe traces are tracked during travel on other road segments whose attribute data is unknown or unreliable. A specification for the unknown or unreliable attribute on the other road segments can be extrapolated based on the collected information from all of the trustworthy probe traces as they travel that road segment. The digital map (18) can then be updated by setting attribute information in relation to the extrapolated behavior data.

Abstract: A query technique and interactive tool for analyzing unstructured data and structured data together through an easy-to-use interface. The query technique uses field indexes within a search engine to enable fast response times, scalability across large data sets, and availability to large audiences. This invention enables embodiments to combine the best features from search experiences with the best features from business intelligence experiences. A preferred embodiment of this technique enables all features to be fully composable so that one request includes structured data analysis features including multi-column grouping and aggregations as well as unstructured data analysis features including search term stemming and dynamic summaries.