Abstract: A system, method and computer-readable medium for missing data identification, including identifying columns in tables of a database, generating categorical columns of categorical data by transforming data values in the columns into categorical data values, generating a co-occurrence matrix corresponding to a pair of categorical columns in the categorical columns, determining an expected frequency of co-occurrence corresponding to each unique pair of categorical data values based at least in part on a marginal totals corresponding to categorical data values in the co-occurrence matrix, and identifying one or more locations of missing data based at least in part on the count of co-occurrence of each unique pair of categorical data values and the expected frequency of co-occurrence corresponding to each unique pair of categorical data values.

Abstract: A computer-implemented method according to one embodiment includes identifying a first group of textual data, determining a plurality of word combinations within the first group of textual data, and determining a first plurality of key words for the first group of textual data, utilizing the plurality of word combinations.

Abstract: A system includes reception of a first instruction at a first system to effect a first change to a hierarchy data model, storage of a first record including first values specifying the first change in a local memory of the first system, reception of a second instruction to effect a second change to the hierarchy data model, storage of a second record including second values specifying the second change in the local memory of the first computer system, reception of an instruction to save the changed hierarchy data model, and, in response to the instruction, transmit the first record and the second record to a second system. The first record and the second record are received and merged to generate a third record including third values specifying a third change to the hierarchy data model, and a query language statement is generated to effect the third change to the hierarchy data model based on the third record.

Abstract: Aspects of the invention relate to a computer-implemented method of improving the efficiency of an electronic collateralisation search engine that uses assets distributed on one or more remotely-located asset depositories. The method comprises selecting from a database of asset records of the remotely-located assets of a collateral giver, a subset of asset records having asset characteristics that satisfy a collateral giver's one or more predefined threshold criteria. Restricting a received search of collateral giver's asset records, which match a collateral receiver's query, to the subset of collateral giver's asset records.

Abstract: A system, method, and computer-readable medium for resolving an identity of an entity, comprising parsing entity identifier information associated with the entity to provide an entity identifier element, the entity identifier information comprising temporal information; classifying the entity identifier element to provide a classified entity identifier element; normalizing the classified entity identifier element to provide a classified and normalized entity identifier element; and, associating the classified and normalized entity identifier element and the temporal information with the entity to resolve the identity of the entity at a particular point in time.

Abstract: A computer-implemented method for storing blockchain data includes: obtaining, by a blockchain node, a first key-value pair corresponding to data to be stored, in which the first key-value pair includes a value of the data to be stored and a first key of the data to be stored; identifying, based on the first key, a corresponding leaf node in a tree data organization structure; and modifying, by the blockchain node, the first key, to update the first key-value pair to obtain an updated key-value pair including the value of the data to be stored and the modified first key, and storing the updated key-value pair into a conflict data storage structure corresponding to the identified leaf node.

Abstract: Techniques and tools are described for producing time-series data using faceted search based on document creation time. For example, index information can be created from events (e.g., by adding meta-data and indexing the events as documents). In addition, index information can be created that maps document creation time to time ranges. Search queries can then be executed (e.g., comprising ad-hoc filters to filter on the meta-data), and search results can be faceted on the time ranges to produce time-series data. The time-series data can be graphed to display trends of activity (e.g., trends of events based on user activity).

Abstract: This disclosure relates generally to an information retrieval technology and more particularly to a creation of a taxonomy to facilitate subsequent search and retrieval of information. In one embodiment, an information retrieval device is disclosed, that comprises a processor and a memory that stores instructions, which, on execution, causes the processor to receive an input corpus. Thereafter, input document clusters are generated from top input n-grams associated with the input corpus. Further, top-ranked input n-grams are determined from the top input n-grams. Thereafter, an external corpus is identified based on the top-ranked input n-grams. An enriched corpus (external and input corpus), is clustered based on top enriched n-grams associated with the enriched corpus to generate enriched document clusters. Further, for each n-gram of the enriched corpus, corresponding n-gram clusters are determined.

Abstract: Systems, methods, and computer storage media having computer-executable instructions embodied thereon that return query completions are provided. A user of a computing device like a mobile phone may enter a prefix. In turn, the prefix and location information associated with the device are transmitted to a server device. The server device receives the prefix and location information. The prefix and the location information are matched with names and locations of entities stored in a database connected to the server device. The server device transmits query completion data to the mobile device. The query completion data includes one or more names that complete the received prefix. The names provided by the server device may be associated with entities that are within a threshold radius of the location information.

Abstract: Methods, systems, and devices supporting differential support for frequent pattern (FP) analysis are described. Some database systems may analyze data sets to determine FPs of data attributes within the data sets. However, if data distributions for different types of data attributes vary greatly, more frequent data attribute types may skew the FPs away from the less frequent types. To reduce the noise of common attributes while maintaining sensitivity to the less common attributes, the database system may implement multiple minimum support (e.g., frequency) thresholds. For example, the database system may adaptively categorize the different data attribute types into data categories based on their distributions and may dynamically determine support thresholds for the categories. Using different minimum support thresholds for different data categories allows the system to filter out data attribute patterns based on the distributions of the data attribute types in the pattern.

Abstract: Systems and methods for analyzing input data records are provided in which a master process initiates a plurality of concurrent first processes each of which comprises, for each data record in at least a subset of a plurality of input data records, creating a parsed representation of the data record and independently applying a procedural language query to the parsed representation to extract one or more values. A respective emit operator is applied to at least one of the extracted one or more values thereby adding corresponding information to a respective intermediate data structure. The respective emit operator implements one of a predefined set of statistical information processing functions. The master process also initiates a plurality of second processes each of which aggregates information from a corresponding subset of intermediate data structures to produce aggregated data that is, in turn, combined to produce output data.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for expanding user segments automatically utilizing user embedding representations generated by a trained neural network. For example, a user embeddings system expands a segment of users by identifying holistically similar users from uniform user embeddings that encode behavior and/or realized traits of the users. Further, the user embeddings system facilitates the expansion of user segments in a particular direction and focus to improve the accuracy of user segments.

Abstract: Embodiments of the present disclosure provide methods, electronic device and computer program products for managing and performing data backup jobs. The method of managing a data backup job includes receiving, from a first client, a backup request for a backup job. The backup request at least indicates a first set of parameters for performing the backup job and initial parameter values corresponding to the first set of parameters. The method further includes determining updated parameter values of the first set of parameters based on a second set of parameters associated with the backup job which are pre-stored at a backup console, the first set of parameters and the initial parameter values. The method further includes transmitting the updated parameter values to the first client to cause the first client to perform the backup job based on the updated parameter values.

Abstract: Techniques for determining character string differences between a target character string and one or more candidate character strings are provided. In some implementations, a target bitmap is produced for the target character string and a target bitmap weight is calculated. A candidate bitmap and a candidate bitmap weight associated with a candidate character string is obtained. In response to determining that the candidate bitmap weight differs from the target bitmap weight by less than a first threshold value, an exclusive OR operation is performed between the target bitmap and the candidate bitmap. In response to determining that number of ones in the result of the exclusive OR is less than a second threshold value, the candidate character string is included in a character set that includes one or more character strings that are close to the target character string.

Abstract: Methods and systems disclosed herein relate generally to generating and using graph models to perform entity-specific mappings to investigatory events. More specifically, data-reliability metrics are used to selectively use proxy nodes in graph-model trajectories during generation of the mappings.

Abstract: Technical solutions are described to implement a scalable write ahead log using a distributed file system. A general aspect includes a method for providing consistency among metadata replicas and content in an enterprise content management cluster. The method includes recording a transaction log entry in response to receiving a content modification request, the transaction log entry including a version identifier set to a first version value. The method also includes updating the transaction log entry to a second version value in response to successfully modifying content and one of a plurality of metadata replicas containing metadata corresponding to the request. The method also includes updating the transaction log entry to a third version value in response to successfully modifying each of the metadata replicas. The present document further describes examples of other aspects such as methods, computer products.

Abstract: Computing systems and related methods are provided for performing database actions responsive to input gestures made by a user. One exemplary method involves a server identifying a gesture on a graphical user interface display on a client device, identifying a subset of displayed content on the graphical user interface display corresponding to the gesture, determining a database action based on at least one of characteristics associated with the gesture and the gestured content, performing the database action with respect to an object in a database, and updating the gestured content on the graphical user interface display to reflect performance of the database action.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for extending an action vector.

Abstract: For improving data placement optimization in a computing storage environment, an application layer and/or a user are allowed to attach anticipated usage metadata and directive metadata to a file. The anticipated usage metadata contains a plurality of attributes describing characteristics of the file and the directive metadata contains directives comprising storage instructions for the file. Additionally, a set of metadata is added to the file at a time of creation. The core metadata includes characteristics such as an importance factor as to how essential the anticipated usage metadata and directive metadata should be followed when determining file placement with the computing storage environment.

Abstract: The embodiments relate to generating hierarchical patterns based on a corpus of text. The corpus is analyzed, which includes extracting a set of features of the corpus. A set of grammatical patterns are generated based on the extracted features. The set of grammatical patterns includes at least one grammatical pattern generated from an internal pattern and at least one grammatical pattern generated from an external pattern. The grammatical patterns of the set are organized into a hierarchy and/or are ranked. The hierarchy and/or ranking are visually displayed.