4 results about "Log mining" patented technology

The invention discloses a service full-link real-time perspective and driving method, device and equipment and a storage medium, and the method comprises the steps: building a hybrid data integration system, and integrating data dispersed in each heterogeneous service system to a lightweight order center; obtaining a data change event of the core business system through database log mining and issuing the data change event to a message queue; updating the lightweight order center based on the incremental data; calling a source system interface to acquire and process missing data in real time during query through an on-demand back-to-source mechanism; assembling the basic data and the supplementary data into a complete business object, and generating a full-link state view through state mapping; and when the key service state node is identified to be changed, broadcasting an event to a subscription system to trigger downstream service process automation. According to the invention, real-time integration and second-level response of service data are realized, data blind areas are eliminated while stability is guaranteed, full-link state perspective and service process automation are realized, and service operation efficiency and reliability are improved.

The invention discloses a trusted cross-organization process mining method and system based on a block chain, and the method comprises the steps: filtering an original event log, and obtaining an interaction event log; private and public process models are mined by using the original and interactive event logs; the public process model after block chain smart contract verification is linked and synchronized among the nodes; any organization submits the merging operation as a transaction to a block chain, and the block chain is driven by a smart contract to fuse the public process model of each collaborative organization into a global public process model and synchronize the global public process model; any organization submits the simplified operation as a transaction to a block chain, the block chain is driven by a smart contract, and public process model fragments related to the own side and the own side related collaborative organization are obtained and synchronized according to global public model simplification; and integrating the public process model fragment and the own private process model under a block chain to generate a cross-organization collaboration process model from a local organization perspective. According to the invention, mining and optimization of cross-organization business processes are facilitated.

The embodiment of the invention provides an incremental data synchronization method and device, equipment, a storage medium and a program product, and relates to the field of distribution. The method comprises the following steps: acquiring transaction logs recorded according to a system change number sequence from a main node; dividing the transaction log into a plurality of log segments according to the numerical value interval of the system change number, and executing a log mining operation on each log segment in parallel to extract change data; sorting the mined change data according to the system change number; and applying the sorted changed data to a local database of the standby node. According to the method, a segmented parallel processing mechanism based on the system change number is added, and the synchronization efficiency of massive transaction logs is improved.

This application discloses a method, system, and storage medium for constructing a multi-view trace graph of an industrial process, belonging to the field of industrial process mining technology. The method includes: acquiring event logs of the industrial process; based on the event logs, mining and generating an initial behavioral relationship graph reflecting the behavioral dependencies between activities, wherein the initial behavioral relationship graph has activities as nodes and behavioral dependencies between activities as edges; extracting multi-view attribute information associated with activities from the event logs, wherein the multi-view attribute information includes at least one or more of resource attributes, scale attributes, product attributes, and personnel attributes; embedding and mapping the multi-view attribute information to generate a multi-view fusion feature vector for each activity node; combining the initial behavioral relationship graph with the multi-view fusion feature vector to construct a multi-view trace graph, which is used to uniformly represent the interaction between the execution structure and multi-view attributes of the industrial process.