57 results about "Case identification" patented technology

A landmark case identification system and method in which the user is presented with a set of the most relevant documents on a selected topic. This set, which is dynamic and asserted to be inclusive at any point in time, is presented to the user in a Virtual Digest and initially sorted by court/date order. The user has an option to resort the answer set using a Frequently Cited sort option, which causes the system to dynamically analyze the answer set for references between the documents. Landmark cases are identified by their peers in the domain as they will be referenced and relied upon most often. The user is presented with the resorted answer set, and information detailing how many other cases in the domain referenced them is now included.

The invention discloses a method and a device for synchronization of a test case and a test script, wherein the method and the device are used for improving efficiency and accuracy of the synchronization of the test case and the test script. The method for synchronization of the test case and the test script comprises the steps: obtaining script information of the changed test script, wherein the script information comprises script identification; searching a unified identifier which corresponds to the script identification; submitting the script information of the changed test script and the searched unified identifier to a test case (TC) system, and indicating the TC system to carry out synchronization operation on the self-stored corresponding test case; confirming a change type of the changed test case, wherein the change type includes new increasing, modification and deleting; extracting case information which corresponds to the test case, wherein the case information comprises case identification; establishing a new test script when the change type is the new increasing; modifying the corresponding test script when the change type is the modification; and deleting the corresponding relation between the test case and the corresponding test script when the change type is the deleting.

The invention relates to a software error positioning method and device. The method comprises the steps that through a source code of a testing case driving program, execution path information and a corresponding execution result of the program are acquired, wherein a successful execution path and a failure execution path are involved; an NJW spectral clustering algorithm is adopted for conductingclustering division on the execution path information of the program, an accidental correctness testing case is identified, and the identified accidental correctness testing case is removed; the suspicious degrees of codes are calculated, and a highly-suspicious code of which the suspicious degree is higher than a set suspicious degree threshold value is acquired; an association code associated with the highly-suspicious code is mined on the failure execution path; with the mined association code as a code inspection object, software error positioning is conducted. The software error positioning method has low false report rate and missing report rate on accidental correctness testing case identification, the accuracy rate of software error positioning is increased, and the efficiency ofsoftware error positioning is improved.

The invention discloses a serial/incorporated case identification method and system. The method comprises the following steps of carrying out preprocessing: carrying out word segmentation and part-of-speech tagging on the case detail description of a case, and removing stop words; extracting the important characteristics of the case from the preprocessed case detail description through a method which combines a rule with a dictionary, and converting a case text into a characteristic vector; and according to the characteristic vector, adopting a case characteristic similarity calculation method to obtain the comprehensive similarity of the cases, clustering the cases through the comprehensive similarity, and finding the dense cluster of related cases to identify the serial/incorporated cases. Through the method and the system provided by the invention, clustering is carried out on the basis of characteristic density, and limitation that a traditional clustering algorithm is applied to a numeric type vector is eliminated. A difficult point that possible serial/incorporated case clusters cannot be obtained from a case detail text library is overcome. The method and the system can be applied to case investigation to improve investigation efficiency.

The invention relates to big data, and provides an abnormal case identification method based on artificial intelligence which is applied to a platform server. The method comprises the steps: acquiringdiagnosis and treatment project data corresponding to the same disease, taking diagnosis and treatment time as a unit, and taking the diagnosis and treatment project data as words in a text to conduct text construction, wherein the constructed text comprises the diagnosis and treatment project data of different users of the same disease in the corresponding diagnosis and treatment time period; performing topic model construction on the text to obtain corresponding topic vector distribution, wherein each topic vector distribution is corresponding to one topic and comprises a plurality of wordidentifiers and corresponding word weights, and the topics have different user topic weights for different users; aligning the topic vector distribution corresponding to each text and performing clustering to obtain diagnosis and treatment item categories corresponding to each user at different time to form a diagnosis and treatment sequence corresponding to the user; and inputting the diagnosis and treatment sequence corresponding to each user at different diagnosis and treatment time into the process mining model to obtain a standard clinical path corresponding to the disease type so as to identify the abnormal case.

The invention relates to an automated software test, which discloses an automated test method and device, an apparatus and a storage medium. The method comprises the following steps: receiving an automated test request and reading an incoming parameter data contained in the automated test request; Searching the corresponding outgoing data and case identification of the input parameter data in thepreset spreadsheet; Finding the corresponding target test cases in the test case database according to the case identification, and executing the target test cases to obtain the case execution results; Matching the data of the outgoing parameter data according to the result of the case execution, and obtain the matching result since the invention searches the corresponding outgoing data in the pre-configured spreadsheet according to the obtained incoming parameter data, Then, according to the data of the test case, the data of the test case is matched, so that the parameter data can be obtained from the external system without the operation of opening the wall and the parameter matching is carried out, which ensures the smooth progress of the automated test and also improves the test efficiency.

The invention provides a method and device for storing and taking articles on the basis of face recognition. The method comprises the steps that face features of a user are collected through a camera;whether current face features exit in a face data list or not is judged, wherein the face data list comprises face features of at least one user; if the current face features exist in the face data list, one case of a locker is opened randomly, after the user stores the articles, first case closing information is received, case identification of the case and the face features of the user are correspondingly saved in a storage list, and then it is determined that the user stores the articles at present. The process that the user carries around bar code paper, a card, a key and the like after depositing the articles is not needed; the user can store the articles by means of the face recognition method, the user can store and take the articles conveniently, unnecessary troubles brought by misoperation of the user are effectively avoided, and the user can free hands thoroughly.

The invention relates to a sentence meaning composition relation lamination identification method based on central blocks, and belongs to the technical field of computer science and Chinese information processing. The sentence meaning composition relation lamination identification method based on the central blocks is based on contemporary Chinese language semantics, and solves the problem of Chinese sentence meaning composition relation identification in a Chinese sentence meaning structural model. The sentence meaning composition relation lamination identification method based on the central blocks gives a concept of 'layer central block' firstly, and achieves effective mapping from a syntactic structure to a sentence meaning structure. A sentence meaning composition relations identification problem is divided into three layer relation identification problems, namely a relation between predicates, a relation between basic case and the predicates, and a relation between general case and sentence meaning compositions. Central block identification algorithm, basic case identification algorithm, general case identification algorithm, identification algorithm of the relation between the predicates, identification algorithm of the relation between the basic case and the predicates, identification algorithm of the relation between the general case and the sentence meaning compositions are respectively provided. A computer can analyze and acquire the sentence meaning composition relation in high accuracy rate and efficiency, and study of the Chinese sentence meaning structural model is further promoted.

The invention provides a business processing method and device, and the method comprises the steps: receiving a project case processing request of a user, and enabling the project case processing request to carry project target case identification information and the identity identification information of the user; obtaining project target case details pre-stored in a database according to the project target case identification information, and creating a credit agreement order based on the project target case details and the identity identification information of the user; obtaining performance data information of the credit agreement order within a preset duration; and adjusting the credit evaluation of the user according to the performance data information.

The invention discloses a non-vehicle insurance assessment remote online video survey system. The system comprises a case structured information processing subsystem, a case online remote video acquisition subsystem and a system user. The system user uses a smart phone or a computer to perform data interaction with the case structured information processing subsystem and the case online remote video acquisition subsystem through a Unicom network, a telecommunication network or a mobile network so as to realize insurance assessment remote online video survey. According to the non-vehicle insurance assessment remote online video survey system, rapid acquisition of insurance case field information and online case identification are realized, and online loss assessment and claim settlement byassessors are facilitated. The client role is converted into the on-site assessor, the scheduling pressure of the assessor is released, and the client does not need to wait for the survey personnel inplace, so that the client experience and satisfaction are improved, and a large amount of on-site survey labor cost is saved.

Speech keywords are extracted from voice data on a response that an operator has made to an inquiry from a customer while referring to case data. Response keywords to be responded to the inquiry are extracted from the case data. After detecting a common keyword in the speech and response keywords, a support keyword is extracted from the speech keywords that appears in the response at a time near the appearance of the common keyword and that does not match the response keywords. Auxiliary data is stored which includes case identification information uniquely identifying the case data, a customer level indicating a knowledge level of the customer about the inquiry, and the support keyword.

The invention discloses a non-vehicle insurance public estimation remote online video survey system and method, and the system comprises a case structured information processing subsystem, a case online remote video collection subsystem, and a system user. The system user uses a smart phone or a computer to perform data interaction with the case structured information processing subsystem and thecase online remote video collection subsystem through a Unicom network, a telecommunication network or a mobile network so as to realize insurance public estimation remote online video survey. According to the non-vehicle insurance public estimation remote online video survey system and method, rapid acquisition of insurance case field information and online case identification are realized, and online loss assessment and claim settlement by public estimators are facilitated. The client role is converted into the on-site public estimation personnel, the scheduling pressure of the public estimation personnel is released, and the client does not need to wait for the survey personnel in place, so that the client experience and satisfaction are improved, and a large amount of on-site survey labor cost is saved.

The invention discloses a high-fraud-risk case identification method and apparatus, and a computer device, relates to the technical field of information, and mainly aims to improve the identification precision of high-fraud-risk cases. The method comprises the steps of obtaining attribute information corresponding to a to-be-identified case, wherein the attribute information comprises time information and position information; inputting each piece of attribute information into a preset spatial-temporal feature extraction model for feature extraction to obtain a spatial-temporal feature vector corresponding to the to-be-identified case; calculating the similarity between the to-be-identified case and a first sample high-fraud-risk case based on the spatial-temporal feature vector corresponding to the to-be-identified case and the spatial-temporal feature vector corresponding to the first sample high-fraud-risk case; and judging whether the to-be-identified case is a high-fraud risk case or not according to the calculated similarity. The method is suitable for identifying high-fraud risk cases.

The embodiment of the invention discloses a batch risk case identification method and device and an electronic device. The method comprises: acquiring original event data corresponding to multiple risk cases; processing the original event data of the plurality of risk cases to obtain target event data of the plurality of risk cases, the target event data comprising a preset variable for describingcommitting features; clustering the target event data of the plurality of risk cases based on a density clustering algorithm to obtain clustering results of the plurality of risk cases; and identifying batch risk cases based on the clustering result.

The invention relates to the field of artificial intelligence, and discloses a fraudulent case identification model training method and device and computer equipment, which can more accurately identify fraudulent cases which are not marked in historical claim settlement cases under the condition of fewer fraudulent samples so as to increase the number of positive samples, and have the effect of filtering dirty data at the same time, the condition that samples in an original data set are unbalanced is improved, and then the fraudulent case classifier is constructed through the obtained data set, so that the classification accuracy of the obtained fraudulent case classifier is higher.

The invention relates to an arbitrary strength combined test case generation method, which comprises the following steps of: 1, generating a combined test case complete set; 2, mapping a use case identification vector; 3, selecting test cases, setting an initial cumulative vector as a zero vector, calculating the weight and dispersion of each test case, performing weighting to obtain a target function value, obtaining the test case with the maximum target function value, adding an identification vector corresponding to the case into the cumulative vector, wherein the calculation of the weightand the dispersion depends on the bit operation between the identification vectors; and 4, judging whether the coverage table meets the coverage requirement or not through the accumulation vector, ifso, screening out the minimum coverage table by adjusting the weights of the weight and the dispersion, otherwise, returning to the step 3, and continuing to select the test cases. According to the invention, the generation of the minimum coverage table of any intensity can be realized.

The invention discloses a one-case-one-code information transmission, verification and management method. The method comprises the steps of issuing judicial information, submitting the judicial information, allocating the judicial information, generating a case identification code and generating a case two-dimensional code. Firstly, judicial information is issued, enters a one-case one-code information transmission, management and verification platform; the one-case one-code information transmission, management and verification platform allocates judicial information to the case coding area, the case fingerprint area and the case index area; a serial number, a verification code, a case index and a case identification code are generated in a case coding area, a case fingerprint area and a case index area, the serial number, the verification code and the case index are combined through the method to generate the case identification code, and the case identification code generates a casetwo-dimensional code through a two-dimensional code generation algorithm. The one-case-one-code information transmission, verification and management method has the advantages that consulting is moreconvenient and accurate, the storage cost is low, the safety is high, and consulting traces are left.

The invention discloses a sensitive case identification method and device. The sensitive case identification method comprises the steps of obtaining case information of a target case; performing key information matching processing on the case information and preset sensitive case feature information, and identifying whether the target case is a sensitive case or not according to a matching result,wherein the sensitive case feature information comprises stability-related case information, hot topic information of a preset media platform and sensitive party information. By adopting the technical scheme, whether the case is a sensitive case or not can be automatically judged according to the case information, the technical scheme is applied to a sensitive case identification scene, the laborcost can be reduced, and the sensitive case identification efficiency is improved.

The invention relates to interface testing equipment for testing by an interface testing method. The testing equipment is electrically connected with a power supply device and comprises a testing instruction acquisition module, a precondition query module, a parameter information acquisition module, a use case module acquisition module and a test case generation module, wherein the test case generation module is used for generating a test case for an interface to be tested and a test module for the interface to be tested according to the parameter information of the use case to be tested and atemplate of the use case to be tested; the parameter information acquisition module comprises a pre-information query module, a pre-use case generation module and a use case parameter acquisition module; and the power supply device comprises a solar battery and a 220V mains supply, wherein the solar battery and the 220V mains supply independently work, and the solar battery and the 220V mains supply are automatically switched through a photoinduction module and a solar battery electric quantity detection module. By use of the equipment, test use case identification and precondition conditioninformation are associated, the test efficiency of automated testing is improved, and in addition, the working stability of the device is improved.

The invention discloses a method based on the automatic log of a collection system, a storage medium and an application server. The method comprises the following steps of when a browser is detected to be started, detecting whether a starting mode of the browser is a preset starting mode, wherein the preset starting mode is to start the browser at a debtor information interface; when the startingmode of the browser is a preset starting mode, collecting the search information contained in a search web page displayed by the browser, and generating a first work log according to the search information; associating the first work log with a first case identification corresponding to the debtor information interface and storing the first work log. The invention forms a specific working log withthe debtor information of the collection system through the network searching record and the recording text record, so as to solve the problems encountered in the work and play the roles of reminding, tracing and proving in the follow-up.

The invention discloses a method for signing for a case, and terminal equipment. The method comprises the following steps that: according to case information in advance, setting a case identificationcode for the case; and through the terminal equipment, scanning the case identification code corresponding to the case to finish signing for the case. By use of the method, the case identification code is set for the case in advance, so that the case identification code can be scanned through the terminal equipment to finish signing for the case. Compared with a traditional pen and paper signing-for way, the way obviously greatly improves efficiency, and in addition, specific signing-for time can be obtained so as to bring convenience in traceability; and through the case identification code,the case can be more easily searched, and management is convenient.