Abstract: A method of providing a calendar service includes obtaining time-series data, determining whether the time-series data correspond to an outlier, obtaining, based on the determination that the time-series data correspond to an outlier, non-time-series data linked to the time-series data corresponding to the outlier, and displaying at least one of the non-time-series data and the time-series data corresponding to the outlier on a calendar page.

Abstract: A computer-implemented method executed using a first networked computer and comprising: receiving a digitally stored workflow pattern that specifies at least an input data source, a data transformation process, and an output data destination, the workflow pattern comprising a structured plurality of name declarations and value specifications that are human readable and machine readable, the data transformation process specified in the workflow pattern including one or more references to processing logic, a processing logic source outside the workflow pattern at which the processing logic is stored, and one or more available process engines that are capable of processing the processing logic; machine parsing the workflow pattern and dividing the workflow pattern into a plurality of execution units, each execution unit being associated with a particular process engine among the one or more available process engines; accessing the input data source specified in the workflow pattern and loading at least a portion

Abstract: A method includes searching, in response to a received policy query request, a preset policy library for a transmission policy that matches the policy query request, wherein the policy query request comprises hardware information of a transmitting end, hardware information of a receiving end, and data information of to-be-transmitted data in the transmitting end, and wherein the data information comprises a total data volume of the to-be-transmitted data, a data category comprised in the to-be-transmitted data, and a data volume of each data category, and feeding back a query result of the policy query request to the transmitting end.

Abstract: A method may include (i) obtaining first data records structured in accordance with a first schema, (ii) determining, for the first schema, one or more first schema property values for each schema property in a set of pre-defined schema properties, (iii) determining, for a second schema, one of more second schema property values for each schema property in the set of pre-defined schema properties, (iv) providing, to a schema matching engine, first and second schema property values, where the schema matching engine contains schema mapping techniques and rules, where each rule suggests a schema mapping technique based on schema properties from the set of pre-defined schema properties, (v) applying the rules to select a schema mapping technique, (vi) transforming the first data records in accordance with the selected schema mapping technique, and (vii) providing the transformed first data records in a data structure in accordance with the second schema.

Abstract: Implementations relate to determining whether and/or how to implement a user request to prevent a particular search result from being provided in response to a search query. Some of those implementations grant or deny the request based on processing of the particular search result, the search query, and/or account information for a user submitting the user request. For example, some implementations process such information utilizing a classifier in determining whether to automatically deny the request, automatically approve the request, or to provide the request for manual review. Some additional or alternative implementations at least selectively automatically expand (or suggest for automatic expansion) an approval of a request to search result(s) and/or to one or more search queries that are not specified in the request.

Abstract: Various embodiments for an error message replacement system are described herein. An embodiment operates by receiving, at a computing device, a request from a browser to access a website external to a domain of the computing device. The request is provided to a server associated with the website and a response is received. Within the response, an error code indicating that the request was not properly executed by the server is identified. The response includes an identification of a first error page. A second error page corresponding to the error code is identified. The second error page is provide for display, at the browser, in lieu of the first error page responsive to identifying the error code.

Abstract: Disclosed are implementations for ranking a feed in a social network. In one aspect, a method of generating a feed includes identifying a group of users associated with a first user, identify notifications for the first user based on the group of users, determine one or more actions that may result from each of the identified notifications, rank the notifications based on the one or more determined actions; and display the notifications to the first user according to the ranking.

Abstract: A system located in a building. The system including a processing circuit configured to receive tags describing points of a piece of building equipment, the piece of building equipment connected to the system. The processing circuit configured to map the tags to classes of a schema of a graph data structure. The processing circuit configured to perform clustering to generate clusters of the points. The processing circuit configured to identify, based on the clusters, relationships in the schema of the graph data structure between the tags mapped to the classes of the schema of the graph data structure. The processing circuit configured to communicate data to a second system based at least in part on the tags mapped to the classes and the relationships.

Abstract: An activity of interest is modeled by a non-stationary discrete stochastic process, such as a pattern of mutations across a cancer genome. Initially, input genomic data is used to train a model to predict rate parameters and their associated uncertainty estimation for each of a set of process regions. For any arbitrary set of indexed positions of the stochastic process that are identified in an information query, the rate parameters and their associated estimation uncertainties are scaled using the model to obtain a distribution of the events of interest and their associated estimation uncertainties for the set of indexed positions. In one practical application, and in response to a search query associated with one or more base-pairs, a result is then returned. The result, which represents deviations between the estimated and observed mutation rates, is used to identify genomic elements that have more mutations than expected and therefore constitute previously unknown driver mutations.

Abstract: A request is received to create a graph database from one or more relational databases. For each relational database, data objects in the relational database are identified. For each data object, a graph data object corresponding to the data object is created. The graph data object is linked to the data object. A set of associated data objects in the relational database are determined, and for each associated data object, an associated graph data object is created if a graph data object corresponding to the data object does not exist. For each created graph data object, a graph data relation object is created that represents a relationship between the graph data object and the associated graph data object. Created graph data objects, associated graph data objects, and graph data relation objects are stored in the graph database. The graph database is provided to one or more applications.

Abstract: A system, method, and computer-readable medium are disclosed for performing a data schema mapping operation. The data schema mapping operation includes receiving product information from a product supplier, the product information comprising a first document corresponding to a first data schema, the first data schema comprising an unspecified JavaScript Object Notation (JSON) schema; identifying a plurality of components within the first document corresponding to the first data schema, the plurality of components comprising JSON data elements; identifying a second plurality of components corresponding to a second data schema, the second data schema comprising a defined data schema, the second data schema being associated with a data center services provider, at least some of the second plurality of components being associated with a relational database; and, mapping a component of the document corresponding to the first data schema to a component corresponding to the second data schema.

Abstract: A database system receives a query. The database system retrieves an old query execution plan (QEP), OldPlan, for the query. The database system submits the query to an optimizer. The optimizer returns a new QEP, NewPlan, for the query. The database system submits the OldPlan and the NewPlan to a machine learning classifier (ML classifier). The ML classifier predicts that executing the NewPlan will result in a performance regression as compared to executing the OldPlan. The database system executes the OldPlan instead of the NewPlan.

Abstract: A method for using an artificial intelligence-based framework to automatically discover and extract information about private and public companies that is accessible from public data sources is provided. The method includes: receiving first information that relates to an identification of a company; determining, based on the first information, publicly accessible data sources via which second information that relates to the company is available; receiving user input that relates to a type of company-specific data to be accessed from the data sources; retrieving, based on the received user input, a subset of the second information; and outputting the subset of the second information. The second information may include leadership profiles, information about products and services, a company description, and/or information about corporate policies.

Abstract: A method of determining relevancies of objects to a search query includes associating multiple tags with multiple objects, recording bookmarks to the multiple objects, or both, and determining a relevance score for each of the multiple objects and a search query. One embodiment of the method combines full-text relevance algorithms with tag relevance algorithms. Other embodiments include statistical relevance algorithms such as statistical classification or rank regression algorithms. When a user executes a search query, a results list containing the objects is returned, with the objects organized based on the relevance scores. The objects are organized by, for example, listing those with the highest relevance scores first or by marking them with an indication of their relevance.

Abstract: Embodiments provide methods and systems for merchant data cleansing in payment network. Method performed by server system includes accessing electronic payment transaction records from transaction database. Each electronic payment transaction record includes merchant data fields. Method includes determining set of electronic payment transaction records with ambiguous merchant data fields having matching probability scores less than predetermined threshold value computed by probabilistic matching model and identifying at least one issue for non-matching of each of set of electronic payment transaction records. Method includes determining data model based on at least one issue of each of set of electronic payment transaction records. Data model is one of: phone-to-city model, payment aggregator model, and merchant name normalization model.

Abstract: Methods and systems are described herein for improvements for reducing client-server network traffic. For example, methods and systems allow for the reduction of client-server network traffic by altering search filters based on their respective rank and/or frequencies of being searched with other search filters included in a search query. In this way, users do not have to resubmit queries that are illogical or would return a null set of search results. For example, a first query may be received. A first search may be performed based on the first query. A first search filter may be selected based on a hierarchical tree structure of search filters. A second query may be generated comprising the first search filter and one or more other search filters, wherein the second query comprises fewer search filters than the first query, and a second search may be performed based on the second query.

Abstract: Embodiments of the present invention are directed to facilitating performing data extraction via efficient extraction rule matching. Generally, an extraction rule can be determined to match an event based on a two-step process. In particular, initially, a determination that a set of fixed substrings associated with the extraction rule matches fixed substrings of the event can be made. Based on fixed substring match, a determination can be made that a set of fields associated with the extraction rule matches fields of the event. In such a case, the extraction rule can be deemed to match the event and used to extract values from the event.

Abstract: A device implementing a system for providing location based search results includes at least one processor configured to detect that a location of a device is within a location of a store or within a threshold distance of the location, and establish a connection with a wireless network of the store. The at least one processor is configured to access an intranet associated with the store, the intranet being accessed via a network identifier previously stored on the device in association with the store, and receive user input for a search. The at least one processor is configured to obtain, via the intranet, at least one of a query completion suggestion or search result having been targeted to the location of the store or the threshold distance of the location, and display the at least one of the query completion suggestion or the search result in association with the search.

Abstract: An information processing apparatus includes at least one processor, in which the processor receives a search objective target selected as a search objective from among a plurality of objective targets which are objective target subjects or objective target objects capable of being the search objective, receives a search condition designated for the search objective target, outputs a search result obtained by searching for a search target based on the search condition, and accumulates the search condition used for a search performed as the search objective target, as a search history, for each of the plurality of objective targets.

Abstract: A system and method are disclosed for scoring sentiments of communication activity and includes one or more databases that stores data describing electronic communication between one or more customer devices and one or more service center devices and a computer. The computer is configured to monitor communication activity of the one or more customer devices and the one or more service center devices to determine whether a communication channel has been opened between the one or more customer devices and the one or more service center devices and identify one or more communication activities associated with the electronic communications. The computer is further configured to compare the identified one or more communication activities with one or more predetermined communication data, determine a sentiment score based on one or more correlations between the identified one or more communication activities and the communication data.