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32 results about "Event modeling" patented technology
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System and method for event tracking across plural contact mediums
InactiveUS20050125276A1Improve customer interactionReduce disadvantagesMarketingSpecial data processing applicationsGraphicsDirected graph
An event tracking system tracks customer interactions to obtain product information that are made across plural contact mediums and displays an intuitive directed graph for analysis of the customer interactions. Each customer interaction is logged at each contact medium with a labeled reference associated with the content of the interaction, a time stamp and an identifier for the product or product user. An event modeling engine analyzes the log to identify contact sessions as contacts by the same identifier within a predetermined time so that an event tracking graphical user interface module prepares each contact session for display as a path of nodes interconnected by edges. Selected directed graph characteristics are highlighted, such as transitions from one contact medium to another or contact session volumes associated with an edge that have a relative volume compared with other contact sessions.
Owner:DELL PROD LP
Method and apparatus for event modeling
The present invention provides a method that allows a developer to add complex dependency logic to an existing database without having to modify the underlying structure of the database. One embodiment of the present invention provides a way to flexibly handle record state transitions by using an event model. The event model is a set of one or more items called an event. Each event in the event model has an associated event type and contains dependency logic that interrelates the events in the event model with one another. Each event represents a set of actions that are optionally contingent upon a condition. The actions and conditions that comprise an event are determine when the event is created. Each event may have a different set of actions and conditions. This enables an event to represent a number of different things. An event can represent anything it is defined to represent. In one embodiment of the present invention an event metamodel is instantiated to represent a number of different event models and the corresponding dependencies that interrelate them. The event metamodel enables the model creator to control what happens to each and every event in the event metamodel without having to modify the underlying structure of the database.
Owner:GOOGLE LLC
Method and apparatus for event modeling
The present invention provides a method that allows a developer to add complex dependency logic to an existing database without having to modify the underlying structure of the database. One embodiment of the present invention provides a way to flexibly handle record state transitions by using an event model. The event model is a set of one or more items called an event. Each event in the event model has an associated event type and contains dependency logic that interrelates the events in the event model with one another. Each event represents a set of actions that are optionally contingent upon a condition. The actions and conditions that comprise an event are determine when the event is created. Each event may have a different set of actions and conditions. This enables an event to represent a number of different things. An event can represent anything it is defined to represent. In one embodiment of the present invention an event metamodel is instantiated to represent a number of different event models and the corresponding dependencies that interrelate them. The event metamodel enables the model creator to control what happens to each and every event in the event metamodel without having to modify the underlying structure of the database.
Owner:GOOGLE LLC
Logistics state monitoring method and system based on combination of sensors
ActiveCN109947007AImprove transportation efficiencyImplement updateProgramme controlMeasurement devicesMicrocontrollerLogistics management
The invention discloses a logistics state monitoring method and system based on combination of sensors. The system comprises intelligent labels, each intelligent label is composed of a label casing, amicrocontroller, a sensor module, a wireless communication module and a power supply module, the label casing is mounted in the surface of a transport cargo, the microcontroller is responsible for work task scheduling of the whole system, via interconnection of different types of sensors, the sensor module can realize sensor data collection and event modeling calculation in the cargo transport environment, events include shocking, collision, overturning, falling off, unsealing and temperature and humidity imbalance, and the wireless communication module sends the sensor data, time label and event record to a monitoring mobile terminal or remote cloud server. Thus, real-time state and event record information of cargoes in the production material transmission and logistics transport process can be monitored effectively, alarm is raises against damage of cargoes timely, and safe transport of sensitive products can be monitored accurately and effectively.
Owner:ZHEJIANG UNIV
Event modeling-based event personalized classification method and system
ActiveCN106250513AEasy to calculateNo longer limited to classificationNatural language data processingSpecial data processing applicationsPersonalizationMicroblogging
The invention discloses an event modeling-based event personalized classification method and system. The method comprises the steps of 1, performing data crawling on daily news, corresponding microblogs and reviews on various forums, and establishing a news library; 2, performing deep mining on data in the news library, building corresponding event models, generating a plurality of tags for each event, and storing event information in the event library; 3, guiding different users to input required different classification conditions and keywords of all categories through a client; and 4, based on the event tags and other attributes, performing different category division on events in the event library according to category matching and category similarity, and visually displaying the events on a user platform. The system can perform personalized classification on news event data according to different requirements by fully utilizing the fast-developing internet and a large amount of emerged news data at present, can be fully connected with various news platforms conveniently, and can provide personalized information services for various platforms.
Owner:SOUTHWEST PETROLEUM UNIV
Method and apparatus for event modeling
InactiveUS20030028548A1Data processing applicationsDigital data processing detailsRecord statusEvent type
The present invention provides a method that allows a developer to add complex dependency logic to an existing database without having to modify the underlying structure of the database. One embodiment of the present invention provides a way to flexibly handle record state transitions by using an event model. The event model is a set of one or more items called an event. Each event in the event model has an associated event type and contains dependency logic that interrelates the events in the event model with one another. Each event represents a set of actions that are optionally contingent upon a condition. The actions and conditions that comprise an event are determine when the event is created. Each event may have a different set of actions and conditions. This enables an event to represent a number of different things. An event can represent anything it is defined to represent. In one embodiment of the present invention an event metamodel is instantiated to represent a number of different event models and the corresponding dependencies that interrelate them. The event metamodel enables the model creator to control what happens to each and every event in the event metamodel without having to modify the underlying structure of the database.
Owner:GOOGLE LLC
System having business aware framework for supporting situation awareness
InactiveUS20100125476A1Simple definitionOffice automationResourcesSoftware engineeringContext awareness
The present invention relates to a system having a business aware framework for supporting situation awareness, which provides an RFID business event modeling system having a modeling function that allows a developer to easily define RFID business events required in developing RFID applications in conformance to EPC network standards so that the user can specify the steps of acquiring and processing data using the RFID technology and define whether to infer a situation, thereby conveniently using the invention for applications based on EPC and sensor data.
Owner:PUSAN NAT UNIV IND UNIV COOPERATION FOUND
Social media graph representation model-based social risk event extraction method
InactiveCN105956197AEffective convergenceThe result is accurateSpecial data processing applicationsText database clustering/classificationSocial mediaInformation quantity
The invention discloses a social media graph representation model-based social risk event extraction method. The method comprises the following steps of 1) modeling an event by adopting an HCCG model, defining an entity relationship generation rule, describing event attributes, and performing multi-granularity extraction on the event by utilizing word-level and stream-level contexts; 2) performing similarity calculation by utilizing an information quantity ratio of a maximum common subgraph and a minimum common hypergraph according to an HCCG graph of the extracted event; 3) performing incremental clustering on HCCG through context information of social media, and gradually highlighting event elements of news in a clustering process; and 4) performing event judgment through an HCCG model-based clustering result, and judging whether the clustering result is a true event or not. According to the method, dispersed social media information can be effectively collected; intermediate and final event detection results are expressed in a multi-granularity manner visually by using an entity relationship model; and compared with a conventional social media event extraction method, the social media graph representation model-based social risk event extraction method has better generalization application capability and higher accuracy.
Owner:杭州量知数据科技有限公司
Modeling method of video semantic event
ActiveCN103226701AReduce false positivesImprove work efficiencyCharacter and pattern recognitionHuman bodyModel method
The invention discloses a modeling method of a video semantic event, which comprises the steps that an original video image sequence is acquired, and subjected to graying and filtering preprocessing; an initial video image sequence is acquired, and subjected to self-adaption background modeling; an updated background image is acquired; a current image and the updated background image are subjected to pixel differencing correspondingly; a human body area in a foreground is obtained, and tracked by adopting a Meanshift algorithm; new position coordinates of each frame are acquired, and subjected to statistical analysis; and a corresponding movement behavior is judged. With the adoption of the method, under-reporting of an anomalous event is reduced; waste of manpower and material resources is avoided; and the working efficiency of monitoring equipment is improved.
Owner:TIANJIN UNIV
Statistical sound event modeling system and methods
Complex sound events are created by generating multiple different kinds of simpler sounds with randomly varying repetition rates. The average repetition rate can also be variable. The values of sound parameters such as wave selection, pitch distribution, pan distribution and amplitude distribution can have random distributions, as determined by various control inputs, some of which have their own random distributions.
Owner:ANALOG DEVICES INC
Process-oriented air pollution event modeling method
ActiveCN106599557AKnow the timeUnderstand spaceSpecial data processing applicationsInformaticsProcess orientedSimulation
The invention discloses a process-oriented air pollution event modeling method. The method comprises the steps of firstly, defining an air pollution event and identifying snapshots of the air pollution event at all moments according to air pollution standards; and then performing modeling on the air pollution event from a process perspective according to a spatial relationship of the same air pollution event snapshots in a continuous time sequence, thereby obtaining an air pollution process-based model. According to the modeling method provided by the invention, time and spatial information of all stages of the air pollution event can be intuitively obtained; association of air pollution events with the surrounding geographic environment and special events can be assistantly comprehended; and guidance is provided for exploring causes for the air pollution event and policies.
Owner:WUHAN UNIV
Abnormal event alarm high-resolution video intelligent processor
ActiveCN104159089ALower performance requirementsReduce analytical stressClosed circuit television systemsFeature extractionVideo encoding
The invention provides an abnormal event alarm high-resolution video intelligent processor. An A / D (Analog to Digital) processing unit in the high-resolution video intelligent processor is accessed to perform digital processing on a high-resolution video, and outputting video streams to an intelligent video analysis unit DSP (Digital Signal Processor); and the intelligent video analysis unit DSP is used for outputting the video stream superimposed with analysis data to a H.246 video encoding unit for compressed encoding, and outputting target detection and feature extraction data to a central processing unit ARM (Advanced RISC Machine) for performing abnormal event management and judgment. Distributed hybrid architecture is adopted, and abnormal event modeling is performing on the basis of a business rule, so that the functions of acquisition, encoding, intelligent analysis, alarming, compression, network transmission and the like are realized on high-resolution video streams of 1080P and more than 1080P, and an integral solution is provided for intelligent analysis and processing of high-resolution video images.
Owner:中国兵器装备集团自动化研究所有限公司
System and method for collaborative viewing of a four dimensional model requiring decision by the collaborators
InactiveUS8954862B1Facilitate decision-makingTransmissionInput/output processes for data processingVirtual cameraVisual perception
A method and system for documenting collaboration by a team analyzing telemetry data, where the data is used to generate a three dimensional visual display modeling the objects and events recorded by the telemetry data. One of the collaborating team members controls display of the model, and each collaborator is able to interact with the visual display and to employ a virtual camera to display and record operation of the model from a perspective selected by the member. Collaborating team members enter time-stamped notes which are displayed in sequential order for all collaborators on a common portion of a display screen upon replay of the simulation. Each team member is provided with a microphone and audio gear to collaborate by voice with other members of the team. The notes and virtual camera views coupled to the simulation provide decision makers on the team with an improved understanding of the problem modeled by the simulation, thereby facilitating an improved decision.
Owner:VALADOR
Maritime search and rescue task simulation evaluation method for amphibious aircraft
PendingCN113777953AReduce the number of actual drillsReduce riskSimulator controlSustainable transportationSearch and rescueComputer science
The invention relates to a maritime search and rescue task simulation evaluation method for an amphibious aircraft, and the method comprises the following steps: constructing a maritime search and rescue simulation model of the amphibious aircraft: constructing a simulation frame based on a multi-agent modeling method for a special task mode of the amphibious aircraft, and conducting detailed modeling on the search and rescue force intelligent agent by applying a discrete event modeling method; constructing research on a maritime search and rescue disposal scheme of the amphibious aircraft: determining an action scheme of the task before an actual search and rescue activity or analog simulation deduction is started; conducting comprehensive evaluation of the disposal schemes based on the simulation deduction data: evaluating expected execution effects of different disposal schemes under the same search and rescue task according to the simulation deduction data; and achieving simulation of maritime search and rescue tasks of the amphibious aircraft and evaluation of the expected execution effect of the search and rescue scheme, and providing technical support for actual use of the amphibious aircraft in the future.
Owner:BEIHANG UNIV
Prophet-random forest-based e-commerce event-driven demand prediction method
ActiveCN111639978AImprove forecast accuracyResolution cycleKernel methodsMarket data gatheringPredicting performanceOutlier
The invention discloses an e-commerce event-driven demand prediction method based on Prophet-random forest. The method comprises the steps: obtaining the historical sales data of an e-commerce platform, and the sales data comprises the time sequence data and the user data of purchasing related products; cleaning historical sales data to improve data quality; performing scale compression on the time series data to reduce data volatility; performing event modeling based on festival activities and e-commerce platform promotion events; adding an event regression amount to the Prophet model, carrying out Prophet prediction, removing and interpolating outliers belonging to an event effect range, and carrying out random forest prediction; prophet prediction and random forest prediction results are combined; and precision evaluation is carried out to observe the generalization ability and the prediction effect of the model. According to the invention, prediction is carried out by using Prophetand a random forest according to the characteristics of an e-commerce event demand and a non-event demand, so that the prediction precision of an e-commerce event-driven demand is improved.
Owner:WUHAN UNIV OF TECH
Real-time factory abnormity supervision system
PendingCN108960664AShort response timeEnable real-time supervisionOffice automationResourcesManagement unitClosed loop
The invention discloses a real-time factory abnormity supervision system comprising a processing module, a mobile application, an event modeling unit, a hierarchical push modeling unit, and a closed loop management unit, wherein the mobile application, the event modeling unit, the hierarchical push modeling unit, and the closed loop management unit are connected with the processing module. With the mobile application, the event modeling unit, the hierarchical push modeling unit, and the closed loop management unit, all posts can receive events to which own attention is paid at any time at anyplace and thus the mobile internet infiltrates into all aspects in work and daily life gradually, thereby bringing revolutionary changes to the traditional industry. With introduction of the mobile internet technology into the system, the limitation of factory walls is broken and the original production safety monitoring mode is changed, so that safety supervision extends to the entire Internet. Besides, on the basis of combination of abnormal event reminding with the mobile technology, the management staff members can obtain abnormity information at any time at any place, so that the responsetime of abnormal event processing is shortened and the eal-time supervision of abnormal events is realized truly.
Owner:北京名道恒通信息技术有限公司
Method and apparatus for reliable media transport
Methods and apparatuses to model the relation between the delay samples and congestion losses and to protect media flows against congestion losses are disclosed. In one embodiment, the method comprises measuring congestion by delay samples, and performing a dynamic FEC algorithm that uses convex hull clustering for loss-event classification, including determining an FEC rate according to the loss-event classification. In another embodiment, the method comprises measuring congestion by delay samples, modeling loss events associated with the delay samples by grouping loss events as unions of convex hulls to identify a period of potentially increased congestion, dynamically changing the FEC rate based on the modeling, and applying FEC protection to the media flow during the period based on the FEC rate. In yet another embodiment, the method comprises forming clusters using past loss events and their {FTT, F{dot over (T)}T} or {RTT, R{dot over (T)}T} estimates, and estimating future loss events using most recent {FTT, F{dot over (T)}T} or {RTT, R{dot over (T)}T} estimates and their membership in convex hull clusters.
Owner:NTT DOCOMO INC
Voice interaction system and method based on power service
PendingCN111176607AFacilitate large-scale promotion and implementationEasy integration and accessSound input/outputSpeech recognitionEvent planningEvent modeling
The invention relates to a voice interaction system and method based on power service. The method comprises a voice collection unit, a voice playing unit, and a service flow control unit, and the voice collection unit, the voice playing unit, and the service flow control unit carry out the mutual calling of data through a callback interface; the voice acquisition unit comprises a voice input module, a volume analysis module and a state display module; the voice playing unit comprises an audio stream analyzing and playing module and an operation control module; and the service process control unit comprises a service event modeling module, an event management module and a callback management module.
Owner:STATE GRID SHANDONG ELECTRIC POWER +1
Modeling method, device, equipment and storage medium for triggering events
Owner:ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD
Event-driven demand forecasting method for e-commerce based on prophet-random forest
ActiveCN111639978BImprove forecast accuracyMake up for the problem that the time series prediction interval is too wideKernel methodsMarket data gatheringEngineeringPredicting performance
The invention discloses an event-driven demand forecasting method for e-commerce based on Prophet-random forest, comprising the steps of: acquiring historical sales data of an e-commerce platform, the sales data including time series data and user data for purchasing related products; cleaning the historical sales data , improve data quality; compress time series data to reduce data volatility; conduct event modeling based on festival activities and e-commerce platform promotion events; add event regressors to the Prophet model, and perform Prophet prediction, eliminate and interpolate as events Outliers within the effect range, and perform random forest prediction; combine Prophet prediction and random forest prediction results; perform accuracy evaluation to observe model generalization ability and prediction effect. Aiming at the characteristics of e-commerce event demand and non-event demand, the present invention uses Prophet and random forest for prediction respectively, and improves the prediction accuracy of the event-driven demand of e-commerce.
Owner:WUHAN UNIV OF TECH
A general modeling method and system for heterogeneous disaster events
ActiveCN103440347BTo achieve a unified descriptionConducive to unified archivingSpecial data processing applicationsData informationMetamodeling
The invention relates to a common modeling method and system of heterogeneous disaster events. The method comprises the steps of building a disaster event meta-modeling frame, building a mode structure of a disaster event meta-model and building a heterogeneous disaster event information model. The method and the system have the advantages and positive effects that the problems that existing heterogeneous disaster events lack effective description means and information models are not uniform are solved; the disaster event meta-model is built; four metadata components and eight-tuple node information description models are developed and the mapping relations between the geography markup language, the sensor model language, the event pattern markup language, sensor network common data information models and an event meta-model are designed; compared with existing disaster event management modes, the disaster event meta-model in the method and system provided by the invention comprehensively describes related information of the heterogeneous disaster events, thus providing supports for unified management and accurate discovery of the disaster events and proving that the method is beneficial to modeling of the heterogeneous disaster events and is more practical and reliable in disaster even management.
Owner:WUHAN UNIV
Trigger event modeling method and device, equipment and storage medium
The invention relates to the technical field of automatic driving, and discloses a trigger event modeling method, a device and equipment and a storage medium, and the method comprises the steps: obtaining a preset risk concentration point, taking the preset risk concentration point as a first modeling condition, carrying out the division of an automatic driving system according to a preset division strategy, and obtaining a corresponding layer, and taking the corresponding layer as a second modeling condition, carrying out combined analysis on the first modeling condition and the second modeling condition to obtain a trigger event, analyzing and refining the automatic driving system to obtain a corresponding process node, and analyzing the trigger event according to the corresponding process node to obtain a target trigger event, and performing modeling according to the target trigger event. According to the method, the trigger event is obtained and modeled by performing combined analysis on the preset risk concentration point and the layer, and the trigger event can be effectively modeled, so that the safety of a driver is improved.
Owner:ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD
Optimization method and equipment for marine target cooperative detection equipment
ActiveCN113344473BRealize closed-loop feedbackImprove real-time response performanceResourcesCoschedulingTime windows
Owner:BEIJING UNIV OF POSTS & TELECOMM
Production process event modeling method based on rules
The invention relates to a production process event modeling method based on rules, and belongs to the technical field of software engineering. The production process event modeling method is characterized by including the following steps that production process events are classified, and essential attributes of the events are set; trigger rules of the production process events are defined, and relationships are built between the events through the trigger rules; a production process event trigger rule base is built, and the trigger rules are stored in the base for management; the production process is described through the production process events and the trigger rule base. According to the production process event modeling method, the production process is described through event models, and by the cooperation of the trigger rules of the events, the built production process event models are easy to understand, maintain and expand; by the adoption of an event trigger mechanism based on the rules, the models can be flexibly configured and adjusted according to the application of different industries; through configuration of the rules, the production process event models can adapt to the production characteristics of the different industries to describe production activities of the different industries.
Owner:SHENYANG JIANZHU UNIVERSITY
A logistics status monitoring method and system based on multi-sensor fusion
ActiveCN109947007BMonitor safe transportationProgramme controlMeasurement devicesMicrocontrollerLogistics management
The invention discloses a logistics state monitoring method and system based on multi-sensor fusion. The system includes several smart labels, and each smart label is composed of a label shell, a microcontroller, a sensor module, a wireless communication module and a power supply module; the label shell Installed on the surface of the transported goods; the microcontroller is responsible for the task scheduling of the entire system; the sensor module is interconnected through multiple types of sensors to realize sensor data collection and event modeling calculations in the cargo transport environment, including vibration, impact, dumping, falling, demolition Sealing, temperature and humidity imbalance and other events; the wireless communication module sends sensor data, time stamps and event records to the monitoring mobile terminal or remote cloud server; the present invention can effectively monitor the real-time status and events of goods during the delivery of production materials and logistics transportation Record information, and timely alarm when the goods are damaged, so as to accurately and effectively monitor the safe transportation of sensitive products.
Owner:ZHEJIANG UNIV
A Video Semantic Event Modeling Method
ActiveCN103226701BReduce false positivesImprove work efficiencyCharacter and pattern recognitionHuman bodyMaterial resources
The invention discloses a modeling method of a video semantic event, which comprises the steps that an original video image sequence is acquired, and subjected to graying and filtering preprocessing; an initial video image sequence is acquired, and subjected to self-adaption background modeling; an updated background image is acquired; a current image and the updated background image are subjected to pixel differencing correspondingly; a human body area in a foreground is obtained, and tracked by adopting a Meanshift algorithm; new position coordinates of each frame are acquired, and subjected to statistical analysis; and a corresponding movement behavior is judged. With the adoption of the method, under-reporting of an anomalous event is reduced; waste of manpower and material resources is avoided; and the working efficiency of monitoring equipment is improved.
Owner:TIANJIN UNIV
Event modeling method and device, computer equipment and storage medium
PendingCN113687957AImprove processing efficiencyInterprogram communicationEvent modelData transmission
The invention relates to an event modeling method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring service attribute information of a data transmission party; positioning a target service field to which the data transmission party belongs in the service architecture according to the service attribute information; analyzing the service attribute information, and determining a service event contained in the data transmission party and an event type corresponding to the service event; and establishing an event model according to the target service field, the service event and the corresponding event type, and indicating a data transmission party to perform data processing according to the event model. By adopting the method, the data processing efficiency can be improved.
Owner:SHANGHAI PUDONG DEVELOPMENT BANK
A high-definition video intelligent processor for abnormal event alarm
ActiveCN104159089BLower performance requirementsReduce analytical stressClosed circuit television systemsAnalysis dataHigh-definition video
The invention provides an abnormal event alarm high-resolution video intelligent processor. An A / D (Analog to Digital) processing unit in the high-resolution video intelligent processor is accessed to perform digital processing on a high-resolution video, and outputting video streams to an intelligent video analysis unit DSP (Digital Signal Processor); and the intelligent video analysis unit DSP is used for outputting the video stream superimposed with analysis data to a H.246 video encoding unit for compressed encoding, and outputting target detection and feature extraction data to a central processing unit ARM (Advanced RISC Machine) for performing abnormal event management and judgment. Distributed hybrid architecture is adopted, and abnormal event modeling is performing on the basis of a business rule, so that the functions of acquisition, encoding, intelligent analysis, alarming, compression, network transmission and the like are realized on high-resolution video streams of 1080P and more than 1080P, and an integral solution is provided for intelligent analysis and processing of high-resolution video images.
Owner:中国兵器装备集团自动化研究所有限公司
A method and system for event personalization classification based on event modeling
ActiveCN106250513BEasy to calculateNo longer limited to classificationNatural language data processingSpecial data processing applicationsPersonalizationThe Internet
The present invention discloses a method and system for event individualized classification based on event modeling. The method includes 1. Crawling data from daily news, corresponding microblogs and comments on major forums, and establishing a news database ;2. In-depth mining of the data in the news database, establishing a corresponding event model, and generating multiple labels for each event, and then saving the event information in the event database; 3. Guiding different users to input different requirements through the client Classification and keywords of each category; 4. Based on event tags and other attributes, events in the event library are divided into different categories according to category matching and category similarity, and are displayed on the user platform in an intuitive way. This system can make full use of the rapid development of the Internet and a large number of emerging news data to realize personalized classification of news event data according to different requirements, and can easily fully connect with various news platforms to provide personalized information for various platforms Serve.
Owner:SOUTHWEST PETROLEUM UNIV
Criminal event modeling method based on self-excitation point process
The invention discloses a criminal event modeling method based on a self-excitation point process, and the method comprises the steps: firstly extracting crime cases containing crime longitudes and latitudes and crime types, and forming a crime data set; extracting crime core features by using a feature selection method of a fuzzy set; extracting a core feature subset from the crime feature set; mapping crime data into a bipartite graph by using the extracted core feature subset, and dividing the bipartite graph into two parts, namely crime places and crime types; subjecting the crime types and the crime sites to embedding update, using crime intensity values in a self-excitation point process for representing crime rates of the specific crime types at given time and the crime sites, and finally, using a trigger function for representing an interaction process of criminal events, so that a dynamic process of criminal activities is modeled. Reliability and applicability of the interaction mode between the crime type and the crime places are described by adopting the self-excitation point process model, and the significance and durability characteristics of crimes and places with different potential characteristics can be found.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
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