Abstract: The present disclosure discloses a clothing information processing method, comprises: the server receives the clothing information sent by a washing device and saves it; the server receives request information sent by an intelligent terminal; the server obtains the corresponding clothing information according to the request information and sends it to the intelligent terminal. In this disclosure, the server receives the clothing information sent by the washing device and stores the clothing information. In this way, in the whole washing cycle, even after this washing cycle, the user can obtain the clothing information from the server through the intelligent terminal, which avoids that in the prior art, after the stage of uploading clothing information by the washing device is completed, the intelligent terminal can no longer obtain clothing information.

Abstract: A method and apparatus for processing a table, a device, a storage medium and a product. An implementation of the method comprise: receiving a content query request for a target table; acquiring a target tree structure of the target table according to the content query request; where, the target tree structure is obtained by performing absorbing processing and merging processing on at least one target cell in the target table; acquiring to-be-queried content in the content query request; and querying target content matching the to-be-queried content from the target tree structure.

Abstract: In a computer embodiment, in a polyglot database management system (DBMS) that contains a guest language runtime environment, a database buffer is configured that the guest language runtime environment does not manage. In the polyglot DBMS, logic that is defined in a guest language is invoked to retrieve, into the database buffer, a value stored in a database in the polyglot DBMS. Compiling the logic causes semantic analyzing the logic to detect that usage of the retrieved value cannot occur after the retrieved value is overwritten in the database buffer. When detecting that such usage of the retrieved value cannot occur, the logic is executed without, after the retrieved value is overwritten in the database buffer, retaining a copy of the retrieved value in a memory region that the guest language runtime environment manages.

Abstract: The provided invention relates to search engines and may be used to search for vacancies and resumes in databases. Further, the invention may be used to sort out vacancies and resumes by professional area and other predetermined similarity criteria. The technical result is to reduce labor costs for the preparation of materials required for machine learning, reduce the amount of machine computing, accelerate the receipt of results, and reduce the time for analyzing search results. To achieve the technical result, the recommender system uses learning and working databases, wherein the learning sequences are formed by sorting and processing the learning database matrices based on user feedback with regard to the degree of correspondence of the results presented to them to the query subject.

Abstract: A system for maintaining a meta-database including meta-data representing decentralized data from source databases, which cause inefficient selection of modeling data and/or variables. Each of source and meta-data interfaces communicate with the respective database(s). A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from the source interface, compresses the data, and synchronizes the data with the meta-data using the meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: The present invention relates to a method for segmenting a PDF document and a method for loading a PDF document in a webpage. The method for segmenting a PDF document includes: S101, inspecting whether a PDF document includes an original directory structure or not; S102, if yes, segmenting the PDF document into multiple PDF sub-documents according to the original directory structure; and S103, if no, segmenting the PDF document into multiple PDF sub-documents according to document contents of the PDF document and a lexical database corresponding to the PDF document. The present invention segments a PDF document into multiple PDF sub-documents to ease operations of for example online reviewing, downloading and searching of the PDF document, and improve a user's experience of use.

Abstract: Examples described herein provide a computer-implemented method that includes training a machine learning model. The model is trained by generating a set of training queries using at least one of a query workload and relationships between tables in a database, building a query graph for each of the set of training queries, computing, for each training query of the set of training queries, a selectivity based at least in part on the query graph, and building, based at least in part on the set of training queries, an initial join result distribution as a collection of query graphs.

Abstract: Systems and methods for creating a reorganization-immune blockchain index using mono-increasing sequence records are described. For example, the system may receive on-chain data for a plurality of blocks, wherein the plurality of blocks comprises a first block comprising a first event of a plurality of blockchain events within the on-chain data. The system may determine a first sequence number for the first event, wherein the first sequence number is based on a mono-increasing sequence record.

Abstract: A system includes a communications interface configured to receive a plurality of data series captured by a plurality of sensors. A first database includes at least a first data series of the plurality of data series. A second database includes metadata related to the first data series. One or more processors are configured to receive an instruction including an indication of a computation to perform and metadata filter criteria, query the second database to determine at least a portion of the first data series that satisfies the metadata filter criteria by reference to at least the metadata related to the first data series, access, from the first database and based on results of the query of the second database, the portion of the first data series, and perform the computation on the portion of first data series accessed from the first database.

Abstract: A source table organized into a set of batch units is accessed. The source table comprises a column of data corresponding to a semi-structured data type. One or more indexing transformations for an object in the column are generated. The generating of the one or more indexing transformation includes converting the object to one or more stored data types. A pruning index is generated for the source table based in part on the one or more indexing transformations. The pruning index comprises a set of filters that index distinct values in each column of the source table, and each filter corresponds to a batch unit in the set of batch units. The pruning index is stored in a database with an association with the source table.

Abstract: A system for use in restoring data processing capabilities in the event of an interruption. System including a user catalog program that when executed by a processor configures the system to store indexes of data utilized by the system, a system management facility (SMF) program that when executed by the processor configures the system to create SMF audit records that track the catalog activity as SMF data, and a virtual catalog program that when executed by the processor configures the system to intercept portions of the SMF data over a timeline. The portions correspond to the creation, deletion and modification of the data files, and catalog the intercepted portions of SMF data over the timeline.

Abstract: Systems and methods provide identification of a first configuration specifying a first column of a first data source, acquisition, based on the first configuration, of a first sequence of values stored in consecutive rows of the first column, and storage of the first sequence of values in a storage device in association with an identifier of the first data source and the first column.

Abstract: A system for identifying information in high dimensional, low latency streaming data having dynamically evolving data patterns. The system processes, continuously and in real-time, the streaming data. Processing includes filtering the data based on event data to identify diagnostic data points by comparing the event data with an experimental design matrix and performing a modeling operation using the identified diagnostic data points in order to identify efficiently any current and emerging patterns of relationships between at least one outcome variable and predictor variables. The at least one a-priori, pre-designed experimental design matrix is generated based on combinations of the predictor variables and at least one outcome variable. The experimental design matrix is also generated based on at least one of main effects, limitations, constraints, and interaction effects of the predictor variables and combinations.

Abstract: Systems and methods are provided for management of data item recovery operations based on classification of data items with respect to a target recovery time. Data items may be classified using metadata regarding versioning and other data storage operations performed on the data items, and the timing of those storage operations with respect to the target recovery time (TRT). Each class may be associated with one or more recovery actions. The recovery actions may involve modifying the metadata rather than the underlying data items.

Abstract: Provided are method and apparatus for creating and adding blocks based on a structured directed acyclic graph (DAG) and building a distributed ledger. In the present invention, a chain structure is extended to the structured DAG while Proof of Work (PoW) and Nakamoto consensus are used. Objectives of the present invention are, to scale up the capacity, shorten the latency, deconcentrate mining power and increase the chance of processing transactions with low or no fees without compromising security and decentralization.

Abstract: A method, apparatus, and computer-readable medium for quantitatively grouping a set of persons into a plurality of groups of three or more persons using computational clustering, the method including storing a set of data objects corresponding to the set of persons, storing a plurality of attributes corresponding to each data object in the set of data objects, generating a plurality of multidimensional objects by encoding each data object in the set of data objects as a multidimensional object based at least in part on two or more attributes corresponding to that data object, each multidimensional object corresponding to a data object in the set of data objects, and generating the plurality of groups of three or more data objects based at least in part on applying a clustering algorithm to the plurality of multidimensional objects.

Abstract: A method for combining an embedding of a graph having a plurality of nodes and edge connections and classifications of distributed ledger-based activities may include: receiving information for historical distributed ledger-based activities comprising identifications of the plurality of nodes in the graph as involved in illicit activities, licit activities, or unknown; applying sampling to sample labels and associated features; training a first classifier based on the plurality of historical distributed ledger-based activities, the node information, and the sample labels; receiving a current distributed ledger-based activity from the distributed ledger network; predicting a classification for the current distributed ledger-based activity using the first classifier; extracting features from the current distributed ledger-based activity; enriching the extracted features based on one or more neighbors of the nodes involved in the current distributed ledger-based activity; reclassifying the current distributed le

Abstract: In some examples, a system arranges data in a plurality of nodes in a tree structure, where a given node of the plurality of nodes is associated with a probabilistic data structure that provides a probabilistic indication of whether data is present in the given node. The system determines, for reads of the given node, a false positive measure of false positives indicated by the probabilistic data structure, and prioritizes a compaction of the given node based on the determined false positive measure.

Abstract: A method of database recovery includes starting a first database server, starting a second database server, starting a third database server, and starting an application server after starting the first database server, the second database server, and the third. The first, second, and third database servers are configured to store data according to first, second, and third database management systems, respectively, and the application server is configured to run application modules of a set of application modules. The method of database recovery further includes starting a search module, starting a product catalog management module, starting a web connectivity module after starting the search module, starting a graphical user interface module after starting the web connectivity module, and starting at least one business operations module.

Abstract: A method for operating a database includes receiving, from a user, data and an instruction to store the data in a key-value based database, determining a context of the data, selecting, according to the determined context, a data write routine, writing the data and its context to the database using the selected data write routine, and writing the data to a cache associated with the database. In addition, indexes may be created in the database and cache separate from the native indexes of the database and cache.