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3results about How to "Improve case handling efficiency" patented technology

Method and system for tracing fund link based on directional anchor point and balance consistency constraint

PendingCN122434653AReduce false connection rateincrease credibility
The application discloses a fund link backtracking method and system based on directional anchor point and balance consistency constraint, and belongs to the technical field of big data analysis. The method comprises the following steps: locating anchor point transaction according to a suspect list; constructing an entry reverse index of transaction data and a net change ledger of each account; and reversely tracking the anchor point transaction in combination with the entry reverse index to obtain all feasible fund link sets with the anchor point transaction as a starting point; wherein the authenticity of each layer of fund connection is ensured based on the net change ledger in the reverse tracking process. The application can analyze massive water data, thereby efficiently and credibly tracing the source of the case-related fund, and generating a structured evidence chain meeting the requirements of judicial evidence.
Owner:INST OF SOFTWARE - CHINESE ACAD OF SCI

A remote sensing algorithm online operation intelligent recommendation method and system for public interest litigation

ActiveCN120912917BSimplify knowledge requirementsImprove recommendation efficiencyData processing applicationsCharacter and pattern recognitionStochastic gradient descentAlgorithm
The application belongs to the field of remote sensing algorithm process modeling and recommendation, and discloses a remote sensing algorithm online operation intelligent recommendation method for public prosecution of public interest litigation, acquires a certain number of remote sensing algorithm processes of environmental resource public interest litigation, and performs data cleaning and semantic classification on nodes; the standardized remote sensing algorithm process is matrixed to obtain a feature matrix; the feature matrix is subjected to an independent path extraction algorithm to obtain a plurality of independent path sequences; a prefix of the independent path sequence is subjected to frequent item mining to obtain a prefix part for training, and a tail node is used as a label; long-term features are extracted through a pyramid RNN model, and a random gradient descent algorithm is used to train a neural network to obtain a training model. The application simplifies the recommendation of remote sensing algorithms for environmental resource public interest litigation, converts a graph recommendation task into a sequence recommendation task, simplifies the knowledge demand of algorithm modeling personnel on a complex graph structure, and improves the recommendation efficiency of a recommendation system.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)

Structured extraction and identification method and system for multi-modal key information of legal consultation

The invention discloses a legal consultation multi-mode key information structured extraction and identification method and system, and relates to the field of legal services. The method comprises the steps of obtaining a legal consultation request submitted by a user; analyzing the multi-modal evidence file, and establishing a triple mapping relationship among text contents, visual elements and spatial positions; constructing a legal evidence ontology dictionary, performing cross-modal semantic understanding on visual-text joint information with a spatial mapping relationship, and extracting a structured evidence tuple comprising legal entities, entity attributes and relationships among entities; and carrying out logic merging on the structured evidence tuple according to the case element template to generate a standardized case fact structural body. The method has the advantages that unstructured evidence files such as contracts, borrows and discriminants are automatically converted into structured case fact structural bodies which can be directly used for case analysis, document generation and legal reasoning.
Owner:BEIJING INSTITUTE OF TECHNOLOGY (ZHUHAI)