40 results about "Link diagram" patented technology

An implicit links enhancement system and method for search engines that generates implicit links obtained from mining user access logs to facilitate enhanced local searching of web sites and intranets. The implicit links search enhancement system and method includes extracting implicit links by mining users' access patterns and then using a modified link analysis algorithm to re-rank search results obtained from traditional search engines. More specifically, the implicit links search enhancement method includes extracting implicit links from a user access log, generating an implicit links graph from the extracted implicit links, and computing page rankings using the implicit links graph. The implicit links are extracted from the log using a two-item sequential pattern mining technique. Search results obtained from a search engine are re-ranked based on an implicit links analysis performed using an updated implicit links graph, a modified re-ranking formula, and at least one re-ranking technique.

A method and process provides structure recognition to a node-link diagram formed by a plurality of digital ink strokes drawn on a canvas of an electronic device by an input device. The method and process include grouping related strokes into multiple hypotheses reflecting structure interpretations of the strokes in a group. Confidence scores are computed for the multiple hypotheses based on local evidence regarding the strokes of the stroke groups and surrounding strokes. Constraints are applied among the hypotheses, and a collectively high scoring assignment of accept/reject values of the hypotheses are determined under the applied constraints. The hypotheses with collectively high scoring assignments are accepted as a representation of the node-link diagram, where structure information is provided to the strokes of the node-link diagram, making the node-link diagram electronically editable.

The invention belongs to the technical field of information, provides a service link calling relation view based on TCP and a fault root cause positioning method, and aims to provide a method capableof determining the range of fault influence for the defects. According to the main scheme, the method comprises the steps of conducting netstart data collection on a host where a server is located toacquire original calling information between servers, cleaning original data and storing the original data in a database; respectively reading IP calling relation information and the IP detailed attributes from the database; according to IP calling relation information, obtaining a calling relation between services and detailed attributes of the services, and storing the calling relation and the detailed attributes into redis; obtaining and analyzing an original alarm to obtain alarm data of the associated service, and storing the alarm data into redis; and obtaining the data and the alarm data stored in the step 4 from redis, marking the red corresponding alarm service in a link in a visual link diagram, changing the node shape, and then displaying alarm information in details.

Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising automatically creating a link graph comprising nodes representing webpages, links representing hyperlinks, and weights for each link representing a number of times a hyperlink associated with the respective link redirected the a user devices from a webpage associated with a first node connected to the link to a webpage associated with a second node connected to the link; and determining based on the link graph a programmatically expected path for a particular user, wherein the programmatically expected path identifies, at least, two or more webpages that the particular user is programmatically expected to visit and specifying a programmatically expected order at which the particular user will visit the webpages.

The invention discloses a real-time data processing system and method supporting multiple engines, service processing is disassembled, a plug-in for realizing a certain specific function of a service is generated as required, and the plug-in and the engines have no direct relationship; analyzing service requirements to perform processing flow arrangement, dragging a corresponding plug-in to confirm a data processing method and a data flow direction, and obtaining flow arrangement information to construct a data execution link diagram; and obtaining execution engine information according to a data execution link diagram generated in the process arrangement, obtaining actual processing logic through an execution bridge, and calling and executing the actual processing logic. According to the method, plug-in type flow arrangement is supported based on multiple engines, each processing link is allowed to be defined, the flexibility is high, and the use is convenient.

The embodiment of the invention discloses a data processing method. The method comprises the following steps: acquiring a pre-stored direct-current engineering tree structure diagram; obtaining at least one visualization program based on the DC engineering tree structure diagram, wherein the at least one visualization program corresponds to at least one target device in the DC engineering tree structure diagram; acquiring data transceiving information between nodes in the direct-current engineering tree structure diagram from the at least one visualization program; creating a target link diagram based on the data transceiving information and the direct-current engineering tree structure diagram; and sequentially displaying a plurality of views in the target link diagram based on the hierarchy of the DC engineering tree structure diagram. The embodiment of the invention further provides equipment and a computer readable storage medium.

The invention discloses a sequence recommendation method based on an edge enhanced global decoupling graph neural network, and the method comprises the steps: an input layer: taking all items in training data as nodes, taking an interaction sequence between a user and the items as edges, constructing a global link graph, and inputting the global link graph to a graph neural network; the decoupling learning layer is used for aggregating influence probabilities of a preset number of factors from all neighbor projects of the project and influence probabilities of a preset number of factors from a plurality of previous projects of the project of the target user according to an interaction time sequence; according to the prediction layer, decoupling item representations of the global level and the local level are accumulated and multiplied by the initial embedding representations of the candidate items, and the probability that the target user appears as the next interaction item after the item vi is obtained; iteratively training to complete the graph neural network; the item with the maximum probability output by prediction of the trained graph neural network is the item recommended to the target user. The method has the beneficial effects of perceiving transfer of user intentions and recommending products to users more accurately.

The invention discloses a storage link alarm method and apparatus. The method comprises the following steps: setting alarm thresholds of various levels of components in a storage device, wherein each component corresponds to a preset number of alarm thresholds; collecting the data of the various levels of components; dividing the data of each component into different alarm states via the alarm thresholds, wherein each alarm state corresponds to a connecting line; and drawing an end-to-end link diagram by using the connecting lines corresponding to the alarm states. By adoption of the storage link alarm method and apparatus, the alarm data can be superposed and displayed in an end-to-end link, an alarm condition overview containing front and back end switches, a host and applications whole of the whole storage system for management personnel so as to provide reference for the operation analysis.

The invention provides a system test method and device, equipment, a medium and a program product, and the method comprises the steps: obtaining a business logic network diagram of a preset business in a system, the business logic network diagram comprises a plurality of function units and a circulation path of test data among the plurality of function units; then determining one or more test single chains according to the business logic network diagram by utilizing a preset model; and testing each test single chain by using a preset test model according to the test data and the functional unit library, and displaying a test result on a link diagram corresponding to the test single chain. A plurality of test single chains, namely test processes, are constructed at one time through the business logic network diagram, and the technical problem that how to simplify a plurality of associated tests in an automatic test needs to repeatedly compile the test processes or integrate a plurality of use cases is solved. The technical effects of designing a plurality of associated test items at one time and enabling developers to master the function logic of the system more clearly and integrally are achieved.

The invention discloses a multi-scale link prediction method and system based on a hierarchical link mode, and the method comprises the steps: constructing K k-order link graphs based on a visible graph of a real target network; vector representations of the nodes on different scales are obtained according to the k-order link graph, and the final representation of each node is obtained by splicing the vectors; constructing a dichotomy training set; and establishing a dichotomy model for multi-scale link prediction. The system comprises a link graph module used for constructing K k-order link graphs based on a visible graph of a real target network; the node representation module is used for obtaining vector representations and final representations of nodes on link diagrams with different scales; the classification module is used for constructing a dichotomy training set; and the prediction module is used for establishing a dichotomy model and performing multi-scale link prediction. According to the method, the high-order link of the network can be effectively captured, and the problem that the network is too sparse is better solved; the prejudice of artificially defining edge embedding binary operators is overcome; and the prediction performance is improved.

The embodiment of the invention provides a link diagram repairing method based on Granger causal relationship test and a diagram similarity technology. The method comprises the following steps: acquiring historical data of all nodes in a target calling link diagram; performing Granger causality test processing on the nodes according to historical data to obtain a Granger causality test processing result; generating a Granger causality graph according to a Granger causality test processing result; according to a plurality of selected different threshold values, performing cutting processing on directed connection edges in the Granger causality graph to obtain a cut Granger causality graph; determining the Granger causality graph with the highest similarity as a target Granger causality graph; and repairing the target calling link diagram through the target Granger causality diagram to obtain a repaired target calling link diagram. The target calling link diagram is repaired through the target Granger causality diagram, so that the availability and the validity of the link data can be improved, and the working efficiency is improved.

The embodiment of the invention provides a modeling auxiliary device and method. In the technical scheme provided by the embodiment of the invention, the modeling auxiliary device comprises: a data import module, which is used for importing storage process data; a blood relationship analysis module, which is used for obtaining a blood relationship link diagram of the storage process according to the storage process data; an element analysis module, which is used for obtaining an evaluation result according to the storage process data; and a table analysis module, which is used for analyzing tables related to the storage process according to the storage process data. According to the embodiment of the invention, research and development personnel can be helped to analyze and organize a large number of storage processes and businesses, and the difficulty in a process of migrating core businesses of a passenger ticket system to a micro-servitization direction is reduced.

The invention discloses a power data asset operation management and control data production link generation method and device, and the method comprises the steps: building a link relation through sequentially querying a ledger table, a blood relationship table, a metadata table and a task table related to a power data asset operation management and control system; distinguishing a link type through a preset field, and reversely generating a link; and analyzing the node position of the generated link, storing corresponding data, and drawing a node generated link diagram. According to data assets in a current electric power data asset operation management and control system, a data link automatic generation process of the data assets from a source business system to a data center and then to an application is established by combining data warehouse characteristics and a big data technology, so as to support link state and process monitoring; complex and multi-class job scheduling tasks in links of data acquisition, data transmission, data processing and data supply are acquired and fused, and a more flexible, more comprehensive and more reliable monitoring tool and means are provided for data management personnel.

The invention discloses a test joint debugging method and device based on a block chain, and relates to the technical field of block chains, and the method comprises the steps of storing the information of products needing to be subjected to test joint debugging and the development information of the products into the block chain, and enabling all the products to correspond to each other through a link diagram; after the environment joint debugging is started, analyzing the development information of the product, if the product is not developed, judging the influence degree of the product on other products, and if the influence degree exceeds a preset threshold value, pausing test joint debugging; and if the influence degree does not exceed the preset threshold value, performing test joint debugging on the developed product. The test joint debugging efficiency and the problem solving rate can be improved through the block chain.

The invention discloses a data calculation method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: receiving a data request, and extracting one or more request attributes and entry parameter values in the data request; forming a request group by the one or more request attributes, calling a data association relation table, and generating a corresponding group graph-like link graph by adopting a directed acyclic graph algorithm and taking the request group as a destination node; and traversing the group graph-like link diagram by using a directed acyclic graph algorithm, calling a corresponding calculation model based on the to-be-calculated attribute identifier in the attribute group, further calculating the value of the one or more request attributes according to the input parameter value in the data request, and outputting the value. According to the implementation mode, calculation of data with different attribute complexity degrees can be met through a universal data calculation method, and the method is high in logic reusability and easy to maintain.

The embodiment of the invention discloses an object detection method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps of determining a target detection object, and setting target detection object identification information for the target detection object; obtaining execution data of the target detection object according to the identification information of the target detection object, and generating an execution link diagram of the target detection object based on the execution data; and performing anomaly detection based on the execution link diagram of the target detection object. According to the technical scheme, the execution information of the target detection object can be comprehensively acquired, and anomaly detection can be quickly and accurately performed based on the comprehensive execution information, so that the fault processing efficiency can be effectively improved, the fault processing real-time performance can be improved, meanwhile, monitoring and analysis of database operation and database performance can be realized, and effective data support is provided for positioning, processing and backtracking of fault problems.

The invention relates to a method for generating a multi-system method call link graph, which comprises the following steps of: A, starting a pinpoint service, sampling all system calls and storing call link information of a text structure; B, storing the calling link information into a non-relational database through FlumeNg service; C, reading multiple pieces of calling link information from thenon-relational database through at least two data analyzers for analysis, and determining a calling relationship among the methods; and D, determining a hierarchical relationship among the methods according to the calling relationship among the methods, forming a directed acyclic tree diagram taking method names as node values, and storing the directed acyclic tree diagram into a non-relational database for describing calling link diagrams of the methods in all systems. According to the method, the calling relations among all the methods in different systems can be efficiently analyzed, the method calling link diagram is formed, and meanwhile the correctness of the method calling relations is guaranteed.

The embodiment of the invention discloses a data link processing method and system applied to a big data platform and a medium, and relates to the technical field of data processing.The method comprises the steps that when an ETL tool synchronizes source data to the big data platform, a first source data capture plug-in captures a first synchronization task and processes the first synchronization task to obtain first uploading information; when the big data platform synchronizes the source data to the application database, a second source data capture plug-in captures a second synchronization task and processes the second synchronization task to obtain second uploading information; when an application system calls source data from an application database, the data link identification plug-in captures a calling task and acquires calling information, and processes the calling task and the calling information to obtain link uploading information; and the visual display system merges the received first upload information, the second upload information and the link upload information to generate a data flow link diagram. According to the embodiment of the invention, the link data management efficiency can be improved.

The invention relates to a method for realizing pipeline link visualization, which comprises the following steps of: acquiring asset information of a machine room, and obtaining pipeline link data information according to equipment data and link data in the asset information; generating a corresponding JSON file from the pipeline link data information by using a preset industry specification style; and performing rendering by using a WebGL technology through the JSON file to obtain a pipeline link diagram of the machine room. According to the method and device, the connection relation and the operation state of the pipeline links of different classifications in the scene can be more visually displayed, the input manpower for data center operation and maintenance is reduced, the pipeline links are more efficiently managed, the daily machine room operation and maintenance work is met through the browser, and the cost is reduced and the efficiency is improved. The invention also relates to a device for realizing pipeline link visualization, a storage medium and equipment.