Abstract: Systems and methods are disclosed that perform dynamic database schema modification. A database system may receive a request to change a schema. In response to receiving the request to perform the dynamic schema modification, the database system may complete pending transactions and begin modifying the database schema. Any requests to access the database received prior to completion of the modification may be paused, thereby allowing the database to remain online and continue receiving requests while the modification is in progress. After completion of the modification, the paused requests may be resumed.

Abstract: Embodiments relate to an eigenvalue-based data query. An aspect includes receiving a query request that includes a query statement. Another aspect includes calculating eigenvalues of key component elements in the query statement. Another aspect includes matching eigenvalues of nodes in an execution plan of a historical query statement to the eigenvalues of the key component elements. Yet another aspect includes based on determining success of matching the eigenvalues of the key component elements to the eigenvalues of the nodes in an execution plan of the historical query statement, generating an execution plan of the query statement.

Abstract: In response to receiving a request for visiting a first web task associated with a website, a first task node is generated at a breadcrumb root node in a tree structure. In response to sequentially receiving requests for multiple subtasks of the first web task, multiple subtask nodes of the first task node are sequentially established in the tree structure. The subtask nodes of the multiple subtask nodes of the first task node are sequentially connected to the first task node according to a sequential order of the sequentially received requests for the multiple subtasks of the first web task. The multiple subtask nodes of the first task node are processed based a policy of the first web task, which includes dynamically reconfiguring the multiple subtask nodes of the first task node in response to the user's visitation of one or more subtask nodes of the multiple subtask nodes.

Abstract: A distributed processing management apparatus analyzes a source file, extracts a reference item name of a reference item that is referenced in processing, and then generates a deletion program describing a process of deleting, from each of plural records, data of a non-reference item having an item name other than the reference item name. Further, the distributed processing management apparatus generates an insertion program describing a process of inserting, in each of the records, dummy data in the position where the data of the non-reference item was located. Then, the distributed processing management apparatus causes plural servers to execute distributed parallel processing based on processing program. When transmitting records, the servers delete data from the records to be transmitted according to the deletion program, before the transmission. When records are received, the servers insert dummy data into the received records according to the insertion program.

Abstract: A webpage classification method and apparatus, a computing device and a machine readable storage medium are disclosed. Each corpus word in a corpus is converted into a vector by using a word-to-vector tool word2vec, and therefore a processing process such as comparison between corpus words or similarity analysis is converted into vector calculation, so as to more conveniently implement computer automation, thereby improving webpage classification efficiency. Moreover, corresponding corpus words are screened according to preset classification seed words, and a corpus word unrelated to a webpage type may be removed, thereby improving webpage classification accuracy.

Abstract: Providing disaster recovery of a distribute file system metadata server as a service is disclosed. In various embodiments, an indication is received to provide alternative access to a file system metadata server. A copy of a self-describing backup of the file system metadata server is obtained, e.g., from cloud-based storage. The backup is used to provide access to a read only instance of the file system metadata server.

Abstract: Embodiments of the invention include method, systems and computer program products for obtaining a scene from a database. Aspects of the invention include receiving a search request for a scene stored in a database including annotated video content. One or more keywords are extracted from the search request. Extended keywords are generated for each keyword. The extended keywords and keywords are compared to the annotated video content to identify target scenes including target scene annotations. A confidence rating is assigned to each of the target scenes based at least in part on a correlation between the target scene annotations for each of the target scenes and the extended keywords and keywords. And at least one of the target scenes are displayed to the user, wherein the at least one of the target scenes is determined based on the confidence ratings.

Abstract: A method of communicating data in a data grid. The method includes receiving a first search request defined by search criteria of a search query. The method includes communicating the first search request to search for data segments at the first node that match the search criteria. The method includes receiving one or more data segments matching the search criteria. The method includes receiving rebalance information. The method further includes identifying a second node storing rebalance data segments of the plurality of rebalance data segments based on the rebalance information. The method further includes communicating a second search request to search for the rebalance data segments matching the search criteria. The method further includes receiving one or more rebalance data segments matching the search criteria. The method further includes determining search result data using the data segments from the first node and the rebalance data segments from the second node.

Abstract: A method, computer system, and a computer program product for processing a set of data objects of one or more users stored in a computer system is provided. The present invention may include providing data object properties and user properties of the set of data objects. The present invention may include determining a combined property of the data object properties and user properties. The present invention may include determining time dependent properties and at least two metrics, wherein a first metric indicates the deletability of a cluster and a second metric indicates the quality of the cluster, and wherein the first metric is determined using time dependent properties of the cluster. The present invention may include inputting the set of combined properties to a clustering algorithm and using the clustering algorithm to cluster the data objects to identify a best deletable cluster to determine if a data object is deletable.

Abstract: This application is directed to a method for automatically identifying and transferring relevant image data implemented at a server with a processor and memory including one or programs executable by the processor. The server obtains content items from a personal content collection of a user, analyzes the content items to identify attributes associated with the images, generates rule sets based on the identified attributes, applies the generated rule sets to a plurality of unclassified images, identifies a first set of one or more of the unclassified images, associates each image of the first set with the content items and stores the first set in the personal content collection. A second set of unclassified images is placed in a candidate list to be periodically, without user intervention, monitored and updated for storing in the personal content collection. The generated rule sets are updated after images are stored in the content collection.

Abstract: Methods that can parallel search a partitioned data set extended (PSDE) indexes are provided. One method includes managing a set of quick indexes in a memory device in which the set of quick indexes include references to storage locations for a subset of members of a PDSE stored in a set of long-term storage devices. The method further includes receiving a request to determine a storage location of a member of the PDSE and, in response to the request, searching the set of quick indexes to determine the storage location. Systems and computer program products for performing the above method are also provided.

Abstract: A system for enhanced information flow in an enterprise is disclosed. The system includes a monitoring module configured to determine one or more metrics associated with at least one of an agent or a data item. The system further includes a rating module configured to provide a rating to the data item based on the one or more metrics associated with the at least one of the agent or the data item. The system further includes a computing module configured to compute a review parameter based on the rating of the data item. The system further includes a display module configured to display an indicator associated with the computed review parameter.

Abstract: A recipe management system includes a versioning system that tracks the revision history of templates and their child instances. Modifications to templates and instances create new records with new primary key identifiers and version identifiers. However, each new version of a template or instance has the same root identifier as the prior versions. When a template is modified, a flag is set in its child instances, but they are not modified automatically. When an instance is modified, it has no effect on the parent template. At runtime, a recipe model is loaded to an equipment model to execute a recipe on a piece of equipment. Only approved versions of equipment models are used during execution, even if newer versions exist. During execution, new equipment models can be created. The recipe management system includes an execution engine that can be hosted as a standalone executable or in a system platform.

Abstract: Methods and systems to identify video content based on video fingerprint matching are described. In some example embodiments, the methods and systems generate a query fingerprint of a frame of video content captured at a client device, query a database of reference fingerprints, determine the query fingerprint of the frame of captured video content matches a reference fingerprint, and identify the video content based on the match of fingerprints.

Abstract: A user can capture an image of a text object of interest and have that image submitted for processing. The image can be pre-processed to improve quality and then submitted to an optical character recognition process to identify the words, characters, or strings in the image. At least some of these results can be submitted as a query to a search engine to obtain potential matches. In order to improve the accuracy of the results, information such as the titles for the results can be compared against each recognized word, character, or string from the image, including the ordering of those elements. An updated relevancy score can then be generated based on the full, ordered set. The recognized text is also analyzed to attempt to recognize model numbers or other identifiers that can be weighted more heavily as being indicative of accurate matches. Matches are selected from the re-ranked results.

Abstract: One embodiment provides a method comprising adjusting a runtime of a dataflow processing environment to operate on multiple batches of objects. The method further comprises pre-allocating one or more vectors of objects, and processing the multiple batches one at a time. The one or more vectors of objects are re-used during processing of each batch.

Abstract: A method, apparatus, and computer implemented method for analyzing a Big Data dataset, the method comprising performing analysis on a big data dataset by applying a set of analytical tool to a Big Data Model; wherein the Big Data Model decouples the Big Data dataset into properties and metadata; wherein each of the properties represent part of the Big Data dataset to enable processing and analysis; wherein the metadata enables calculation of summary information for the Big Data dataset.

Abstract: The method includes identifying a first data table that includes a set of rows and a structure. The method further includes creating a second data table and a third data table having a matching structure as the first table. The method further includes distributing the set of rows of the first data table, wherein the set of rows is distributed between one or more of the second data table and the third data table based upon preset parameters. The method further includes, generating one or more operations for the set of rows. The method further includes executing one of the one or more generated operations on the second data table and the third data table.

Abstract: Provided are a database (DB) managing method and system, wherein, while forming an index of a DB, a lower value and an upper value of key values of a plurality of records included in one page are stored as separators and an overlapping part of the key values is deleted from the plurality of records by using the separators to save a storage space where pages of the index is stored, and thus the performance of the DB is improved.

Abstract: Systems and techniques for determining significance between entities are disclosed. The systems and techniques identify a first entity having an association with a second entity, apply a plurality of association criteria to the association, weight each of the criteria based on defined weight values, and compute a significance score for the first entity with respect to the second entity based on a sum of a plurality of weighted criteria values. The systems and techniques utilize information from disparate sources to create a uniquely powerful signal. The systems and techniques can be used to identify the significance of relationships (e.g., associations) among various entities including, but not limited to, organizations, people, products, industries, geographies, commodities, financial indicators, economic indicators, events, topics, subject codes, unique identifiers, social tags, industry terms, general term/s, metadata elements, classification codes, and combinations thereof.