The present disclosure relates to a method, apparatus and system for determining accessible paths between two nodes. According to the method of the present disclosure, an adjacency matrix of a graph, which includes a plurality of points and edges connecting the plurality of points, is first established; then, search is made for an accessible path that can reach a destination from a starting point based on the adjacency matrix. Especially, a termination condition for the searching is set based on an already-sought path during the searching, and the corresponding search is terminated in response to the termination condition being met during the searching. With the present disclosure, it may substantially reduce repeated traversal, obvious reduce the time taken to search for accessible paths between two nodes, and significantly improve the efficiency in searching for the accessible path.

An example operation may include one or more processing transactions of a plurality of blocks of a blockchain of the blockchain network to determine a user of a plurality of users that is a party of the respective transaction and a mining pool of one or more mining pools that included the respective transaction in the blockchain, performing a statistical analysis of the transactions to determine if the transactions of a user of the plurality of users is distributed across the one or more mining pools in a statistically expected manner, determining that the user has a special relationship with one or more of the one or more mining pools if the transactions of the user are not distributed across the mining pools in a statistically expected manner, and for a user that is determined to have a special relationship, determining one or more of the mining pools with which the determined user has a special relationship.

Embodiments are directed to a system, computer program product, and method for dynamic object mining. A received file is segmented, re-formatted, and organized into buffers, while maintaining the order of the received file. Multiple buffers are processed in parallel for object mining. A listener is encoded into the buffers to support asynchronous processing, and more specifically ordering of mined objects. An output file of the mined objected or associated frames is created. The file is populated with a sequential ordering of the objects that follows the order of the received file.

The present disclosure relates to methods and systems for ingesting content from data feeds and to generate an enhanced output of relevant content for presentation to a user to facilitate analysis of the relevant content. Content is received from data feeds, and filtered to identify relevant content with respect to a particular context. The relevant content is then processed, e.g., using natural language processes, to extract entities involved, and to also identify particular activities detailed in the relevant content. Activity-mining is applied to the identified relevant data to classify and assigned activity tags to the extracted entity. Based on the extracted and identified information, an enhanced output is generated for presentation to facilitate research operations. The enhanced output may include overlaid graphical annotations, indicators, and graphical controls over the relevant articles to provide a means for updating a database based on the relevant content.

The present disclosure provides a method and apparatus for evaluating article value based on artificial intelligence, and a storage medium. The solution of present disclosure may be employed to pre-mine high-quality articles and low-quality articles as training data, and train according to the training data to obtain a value-scoring model. As such, value evaluation needs to be performed for the to-be-evaluated article, it is feasible to first perform feature extraction for the to-be-evaluated article, determine a score of the to-be-evaluated article based on the extracted features and the value-scoring model, and thereby implement effective evaluation of the article value.

Disclosed herein is a system and method for public housing evaluation including a computer-implemented public housing evaluation unit that receives survey data from a remotely connected survey device. The survey data comprises information about the physical environment of one or more public housing residents that is used to create a digital public housing environment profile for each survey participant. A plurality of digital public housing environment profiles may be statistically analyzed to create a public housing index identifying interrelationships among physical environment and demographic data in the digital public housing environment profiles. Public housing authority computers may access and view the public housing index to determine whether actions may be taken that may improve a public housing resident's physical environment and/or likelihood that they may successfully transition out of public housing.

Embodiments of methods and apparatuses for acquiring information are provided. One implementation of the method can include: determining an initial area corresponding to a target point of interest, and dividing the initial area corresponding to the target point of interest into a plurality of grids; and generating annotations of the plurality of grids respectively based on characteristics of the plurality of grids. Therefore, whether the user data associated with the each of the plurality of grids is used to generate the attribute of the target point of interest may be directly determined based on the annotation of the each of the plurality of grids, thereby saving the spending of the process of acquiring the user data required for generating the attribute of the target point of interest in data mining. The operation state of the target point of interest may be determined based on the annotation of the grid.

Described is a content mining system comprising a crawler configured to retrieve a plurality of files from a data storage system. The content mining system further comprises a plurality of converters configured to extract data from the plurality of files retrieved by the crawler from the data storage system, where each of the plurality of converters is configured to process a respective type of data. The content mining system further comprises a plurality of queues interposed between the crawler and the plurality of converters, where each queue is associated with a single converter.

A method includes searching a technical document including a first data field, a second data field and a third data field based on search terms and search year ranges related to a technical field, generating a keyword set using the first data field, the second data field and the third data field of the searched technical document, scoring a plurality of keywords included in the keyword set, and selecting some of the plurality of keywords, re-searching the technical document related to the technical field, using the selected keywords, scoring the re-searched technical document to derive a representative document representing the technical field, and deriving a representative keyword representing the technical field, using the second data field included in the representative document, wherein the first data field includes a title of the technical document, the second data field includes a summary of the technical document, and the third data field includes keywords of the technical document.

In an embodiment, the a method is provided. The method includes receiving forecast data in a database with an associated window value. The method also includes accessing data based on associated window values. The method further includes comparing the data accessed based on associated window values to other data.