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2421results about "Database models" patented technology

Alarm root cause analysis method, device and equipment and storage medium

The invention provides an alarm root cause analysis method, device and equipment and a storage medium, and relates to the technical field of operation and maintenance. The invention provides a methodfor carrying out alarm root cause analysis based on double correlation, and the method can integrate the time sequence correlation of different alarms and the topological correlation of different alarms to mine root cause alarm information from a large amount of alarms. Time sequence association information based on alarm is obtained. clustering the plurality of alarms; obtaining root cause alarminformation according to the target class conforming to the topology association condition; The alarm root cause analysis method and device can screen out alarms with strong correlation in time sequence and topology at the same time and filter out accidental adjacent noise information in time and accidental adjacent noise information in topology, and therefore interference of the noise informationon alarm root cause analysis can be avoided, and the accuracy of the alarm root cause analysis is improved. Meanwhile, a large amount of business domain knowledge is not needed, and manual definitionof reasoning rules is not needed, so that the cost of alarm root cause analysis is saved.
Owner:HUAWEI CLOUD COMPUTING TECH CO LTD

Method and device for determining data consanguinity based on structural data

The present invention provides a method and device for determining data consanguinity based on structural data. The method comprises: parsing a selection statement to obtain a source abstract syntax tree, and organizing the table information and the field information obtained by traversing the source abstract syntax tree into a source list layer by layer; obtaining the target abstract syntax treeby parsing the insertion statement, and organizing the table information and the field information obtained by traversing the target abstract syntax tree into the target list layer by layer; traversing the source manifest to obtain the source table information and traversing the target manifest to obtain the target table information to obtain the table granularity data kinship relationship; extracting the target field information for the target table from the target manifest, starting from the first layer of the source manifest, finding the source field in the source table with the same name as the target field information of the target table layer by layer, and when the source table to which the source field belongs no longer comes from the subquery, determining the corresponding source field to be the source field with blood relationship corresponding to the target field information. The scheme can parse the field-level granularity of data consanguinity based on structured data.
Owner:RAJAX NETWORK &TECHNOLOGY (SHANGHAI) CO LTD

Risk management platform for steel trade financial business and risk management method

ActiveCN107491885APrevent and Avoid RisksLoss prevention and avoidanceResourcesSpecial data processing applicationsReal time analysisBusiness process
A risk management platform a steel trade financial business is a universal integrated risk management service platform which can automatically perform dynamic identification, real-time analysis, risk result processing and evaluation and quantifying the risk according to the data on the risks that are related in a steel trade financial business process based on a risk identification rule. The risk management platform comprises a risk management client frontend unit, a risk management channel gateway unit, a risk management core real-time service unit, a risk management background management service unit, a risk management offline service unit, a risk management near-line service unit and a risk management data service unit. The risk management platform and the risk management method have advantages of realizing abstract universal data model, integrating a rule engine which can be dynamically managed and changed, separating a real-time processing data according to a scene chronergy characteristic, realizing near-line model processing and offline model processing, finishing full-scene coverage of a risk management business, realizing independence between a client and a gateway architecture, reducing impact of business system change to a risk management back-end core, and flexibly decoupling a risk management logic and a business logic.
Owner:SHANGHAI GANGFU E COMMERCE

An automatic construction method for a big data knowledge graph in the field of public security

ActiveCN109710701APromote search intelligent recommendationImprove the efficiency of searching for effective informationDatabase modelsData abstractionQuality control
The invention discloses an automatic construction method for a big data knowledge graph in the public security field, relates to the technical field of data mining and artificial intelligence, and comprises the following steps: firstly, establishing a standard system for the public security field, and then establishing an Entity-mapping library in the public security field; storing the main attributes of the entities into a file storage database; pushing the data to a memory storage database, carrying out automatic series connection on fragmented entities, abstracting the data into three categories of entities, relations and events after the previous preparation work is finished, and sequentially finishing automatic construction of the public security field knowledge map by virtue of machine learning and deep learning services through knowledge modeling, knowledge extraction and entity fusion; Besides, the automatic construction capability is realized, the quality control and optimization of the knowledge graph are carried out, the public security field search intention analyzer is constructed, the intelligent recommendation of the user search is promoted, and the efficiency of obtaining effective information by the user search is improved.
Owner:INSPUR SOFTWARE CO LTD
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