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ZTE Communications Special Issue on Data Intelligence 认领 引用
1
《ZTE Communications》 2018年第4期8-8,共1页
The new ear of AI is brought about by three converging forces:the advance of AI algorithms,the availability of big data,and the increasing popularity of high performance computing platforms.Data-driven intelligence,or... The new ear of AI is brought about by three converging forces:the advance of AI algorithms,the availability of big data,and the increasing popularity of high performance computing platforms.Data-driven intelligence,or data intelligence,is a new form of AI technologies that leverages the 展开更多
关键词 AI ZTE Communications Special Issue on Data Intelligence
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ZTE Communications Special Issue on Data Intelligence 认领 引用
2
《ZTE Communications》 2018年第2期2-2,共1页
The new ear of AI is brought about by three eonverging forees： the advanee of AI algorithms, the availability of big data, and the inereasing popularity of high performanee computing platforms. Data-driven intelligen... The new ear of AI is brought about by three eonverging forees： the advanee of AI algorithms, the availability of big data, and the inereasing popularity of high performanee computing platforms. Data-driven intelligenee, or data intelligenee, is a new fore1 of AI teehnologies that leverages the power of big data. 展开更多
关键词 ZTE Communications Special Issue on Data Intelligence
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Spatial data intelligence and city metaverse:A review 认领 引用 被引量：1
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作者 Xiaofeng Meng Yong Li +9 位作者 Ke Liu Yu Liu Bin Yang Xuan Song Guoqiong Liao Senzhang Wang Ziqiang Yu Longbiao Chen Xiao Pan Yuming Lin 《Fundamental Research》 CSCD 2025年第3期1169-1193,共25页
Spatial Data Intelligence(SDI)encompasses acquiring,storing,analyzing,mining,and visualizing spatial data to gain insights into the physical world and uncover valuable knowledge.These understandings and knowledge play... Spatial Data Intelligence(SDI)encompasses acquiring,storing,analyzing,mining,and visualizing spatial data to gain insights into the physical world and uncover valuable knowledge.These understandings and knowledge play a crucial role in connecting physical and virtual realms,such as in developing a City Metaverse(CM)aimed at enhancing and optimizing modern urban environments.The advancement of CM holds immense potential to benefit urban dwellers,making research on SDI an increasingly prominent area of focus.This paper contributes significantly by organizing the relevant research and technologies within a coherent framework.Firstly,we identify SDI technologies capable of collecting real-world information to construct a virtual CM.Subsequently,we delve into the technologies that can be compositely integrated with SDI to facilitate interaction with and management of actual cities from the virtual perspective.Additionally,we emphasize the effectiveness and potential of these methods in practical applications.Lastly,we conclude our survey by discussing emerging challenges associated with technological progress,the industrial chain,legal and regulatory aspects,and ethical and moral considerations. 展开更多
关键词 Spatial data intelligence City metaverse Virtual-real interaction Application prospect Smart city
Urban Big Data and the Development of City Intelligence 认领 引用 被引量：24
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作者 Yunhe Pan Yun Tian +2 位作者 Xiaolong Liu Dedao Gu Gang Hua 《Engineering》 SCIE EI CAS 2016年第2期171-178,共8页
This study provides a definition for urban big data while exploring its features and applications of Chi- na＇s city intelligence. The differences between city intelligence in China and the ＂smart city＂ concept in o... This study provides a definition for urban big data while exploring its features and applications of Chi- na＇s city intelligence. The differences between city intelligence in China and the ＂smart city＂ concept in other countries are compared to highlight and contrast the unique definition and model for China＇s city intelligence in this paper. Furthermore, this paper examines the role of urban big data in city intel- ligence by showing that it not only serves as the cornerstone of this trend as it also plays a core role in the diffusion of city intelligence technology and serves as an inexhaustible resource for the sustained development of city intelligence. This study also points out the challenges of shaping and developing of China＇s urban big data. Considering the supporting and core role that urban big data plays in city intel- ligence, the study then expounds on the key points of urban big data, including infrastructure support, urban governance, public services, and economic and industrial development. Finally, this study points out that the utility of city intelligence as an ideal policy tool for advancing the goals of China＇s urban de- velopment. In conclusion, it is imperative that China make full use of its unique advantages-including using the nation＇s current state of development and resources, geographical advantages, and good hu- man relations-in subjective and objective conditions to promote the development of city intelligence through the proper application of urban big data. 展开更多
关键词 Urban big data City intelligence Ternary space Construction emphases
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The Design and Implementation of the Data Buffer Unit in an Artificial intelligence Computer ITM-1 认领 引用
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作者 张晨曦 《High Technology Letters》 EI CAS 1996年第2期55-58,共4页
This paper describes the function,structure and working status of the data buffer unitDBU,one of the most important functional units on ITM-1.It also discusses DBU’s supportto the multiprocessor system and Prolog lan... This paper describes the function,structure and working status of the data buffer unitDBU,one of the most important functional units on ITM-1.It also discusses DBU’s supportto the multiprocessor system and Prolog language. 展开更多
关键词 DBU The Design and Implementation of the Data Buffer Unit in an Artificial intelligence Computer ITM-1 Prolog CPU ITM
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International Papers Contribution on Artificial Intelligence Promotes the Application and Development of Big Data in the Petroleum Industry 认领 引用
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作者 无 《Petroleum Exploration and Development》 SCIE 2020年第2期224-224,共1页
Artificial intelligence is a new technological science that researches and develops theories,methods,technologies and application systems for simulating,extending and expanding human intelligence.It simulates certain ... Artificial intelligence is a new technological science that researches and develops theories,methods,technologies and application systems for simulating,extending and expanding human intelligence.It simulates certain human thought processes and intelligent behaviors(such as learning,reasoning,thinking,planning,etc.),and produces a new type of intelligent machine that can respond in a similar way to human intelligence.In the past 30 years,it has achieved rapid development in various industries and related disciplines such as manufacturing,medical care,finance,and transportation. 展开更多
关键词 International Papers Contribution on Artificial Intelligence Promotes the Application and Development of Big Data in the Petroleum Industry
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Exploration on the Construction of Intelligent Big Data Platform of Ningxia Solar Photovoltaic Industry based on NB-IoT 认领 引用
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作者 Huijun Wang Weiying Chong 《Journal of Electronic Research and Application》 2025年第1期295-301,共7页
As China’s first new energy comprehensive demonstration zone,Ningxia’s solar photovoltaic(PV)industry has developed rapidly,but it still faces shortcomings in terms of intelligence and digitalization.This study focu... As China’s first new energy comprehensive demonstration zone,Ningxia’s solar photovoltaic(PV)industry has developed rapidly,but it still faces shortcomings in terms of intelligence and digitalization.This study focuses on the application and construction of an intelligent big data platform based on Narrowband Internet of Things(NB-IoT)technology within Ningxia’s solar PV industry.It explores the application trends of digital technology in the energy sector,particularly in the PV industry under the backdrop of energy reform,analyzes the technological development status of the smart energy field both domestically and internationally,and details the research methods and design components of the platform(including the photovoltaic base data platform,outdoor mobile application,remote data system,and back-office management system).The study discusses the opportunities and challenges Ningxia’s PV industry faces and proposes a construction pathway.It provides a theoretical foundation and technical support for the digital transformation of Ningxia’s PV industry,facilitating industrial upgrading and sustainable development.Although the current research is limited to the proposed design scheme,it establishes a basis for future empirical research and platform development. 展开更多
关键词 Ningxia Solar photovoltaic NB-IoT Intelligent big data platform Digital transformation
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Introduction to the Special Issue on Machine learning and Blockchain for AIoT:Robustness,Privacy,Trust and Security 认领 引用
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作者 Ji Su Park Pan Yi Jong HyukPark 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期37-40,共4页
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI)and the Internet of Things (IoT). The AIoT system realizes real-time information acquisition through Io... Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI)and the Internet of Things (IoT). The AIoT system realizes real-time information acquisition through IoT sensors and performs intelligent data analysis tasks anywhere along the terminal-edge-cloud continuum,forming a smart and supportive ecosystem. However, AIoT systems face threats related to IoT data trust,system robustness, security, and privacy, making them susceptible to massive cyberattacks. This special issue on Machine Learning and Blockchain for AIoT was designed to showcase applications of machine learning and blockchain within the security domain of AIoT environments, as well as novel methodologies for addressing real-world challenges. The following summary synthesizes the key insights derived from these studies, highlighting their contributions to expanding both the theoretical horizons and practical applications of security within the AIoT landscape. 展开更多
关键词 artificial intelligence things intelligent data analysis tasks internet things smart supportive ecosystem massive cyberattacks machine learning blockchain artificial intelligence
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The City Intelligence Quotient (City IQ) Evaluation System" Conception and Evaluation 认领 引用 被引量：15
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作者 Zhiqiang Wu Yunhe Pan +1 位作者 Qiming Ye Lingyu Kong 《Engineering》 SCIE EI CAS 2016年第2期196-211,共16页
After a systematic review of 38 current intelligent city evaluation systems （ICESs） from around the world, this research analyzes the secondary and tertiary indicators of these 38 ICESs from the perspec- tives of sc... After a systematic review of 38 current intelligent city evaluation systems （ICESs） from around the world, this research analyzes the secondary and tertiary indicators of these 38 ICESs from the perspec- tives of scale structuring, approaches and indicator selection, and determines their common base. From this base, the fundamentals of the City Intelligence Quotient （City IOD Evaluation System are developed and five dimensions are selected after a clustering analysis. The basic version, City IQ Evaluation System 1.0, involves 275 experts from 14 high-end research institutions, which include the Chinese Academy of Engineering, the National Academy of Science and Engineering （Germany）, the Royal Swedish Academy of Engineering Sciences, the Planning Management Center of the Ministry of Housing and Urban-Rural Development of China, and the Development Research Center of the State Council of China. City IQ Evaluation System 2.0 is further developed, with improvements in its universality, openness, and dy- namic adjustment capability. After employing deviation evaluation methods in the IQ assessment, City IQ Evaluation System 3.0 was conceived. The research team has conducted a repeated assessment of 41 intelligent cities around the world using City IQ Evaluation System 3.0. The results have proved that the City IQ Evaluation System, developed on the basis of intelligent life, features more rational indicators selected from data sources that can offer better universality, openness, and dynamics, and is more sen- sitive and precise. 展开更多
关键词 iCity Evaluation system Open data Intelligent city-being Intelligence quotient
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Analysis of Key Technologies for Health Monitoring of Highway and Bridge Structures 认领 引用
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作者 TANG Jianfan 《外文科技期刊数据库（文摘版）工程技术》 2026年第3期092-097,共6页
Roads and Bridges are a crucial part of national infrastructure, and the stability of their structures directly affects people's lives and property as well as the effectiveness of economic development. This articl... Roads and Bridges are a crucial part of national infrastructure, and the stability of their structures directly affects people's lives and property as well as the effectiveness of economic development. This article first examines the current specific needs and actual situation of monitoring highways and Bridges, and then focuses on discussing how to use health monitoring to solve some practical problems. The article pays particular attention to problems such as fatigue damage, rust and corrosion, or sudden destruction of infrastructure over long periods of use, and therefore attaches great importance to structural health monitoring. The article also elaborates on technical aspects such as how sensors are arranged, how signals are collected, and how data is processed, ultimately building a modern monitoring system that operates relying on the latest sensing technology and intelligent data integration methods. The article transmits the monitored data in real time and analyzes it in combination with multiple parameters, which greatly improves the ability to detect structural problems in advance and the accuracy of determining exactly where the damage is. The results of the research show that the system has not only improved in terms of monitoring accuracy and response speed, but also demonstrated good stability and reliability in actual field use, providing a reliable reference basis for safety assessment of highways and Bridges as well as daily maintenance management. This article also provides theoretical assistance and practical technical support for the long-term stable operation and risk prevention of infrastructure, and hopes to promote the wider application of monitoring technology in the field of transportation engineering, ultimately achieving the goal of comprehensive and continuous tracking and observation of the overall health of highways and Bridges, as well as rapid and timely maintenance measures. 展开更多
关键词 Structural health monitoring Sensor technology Intelligent data fusion Real-time alerts Risk control
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A Trusted NUMFabric Algorithm for Congestion Price Calculation at the Internet-of-Things Datacenter 认领 引用 被引量：1
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作者 Shan Chun Xiaolong Chen +1 位作者 Guoqiang Deng Hao Liu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2021年第3期1203-1216,共14页
The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information.However,it... The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information.However,it is difficult to predict the congestion state of the link-end accurately at the source.In this paper,we presented an improved NUMFabric algorithm for calculating the overall congestion price.In the proposed scheme,the whole network structure had been obtained by the central control server in the Software Defined Network,and a kind of dual-hierarchy algorithm for calculating overall network congestion price had been demonstrated.In this scheme,the first hierarchy algorithm was set up in a central control server like Opendaylight and the guiding parameter B is obtained based on the intelligent data of global link state information.Based on the historical data,the congestion state of the network and the guiding parameter B is accurately predicted by the machine learning algorithm.The second hierarchy algorithm was installed in the Openflow link and the link price was calculated based on guiding parameter B given by the first algorithm.We evaluate this evolved NUMFabric algorithm in NS3,which demonstrated that the proposed NUMFabric algorithm could efficiently increase the link bandwidth utilization of cloud computing IoT datacenters. 展开更多
关键词 Internet of Things cloud computing intelligent data aggregation distributed optimization trusted network calculation
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The safety parameters monitoring system for the coal mine based on CAN bus communication and intelligent data acquisition 认领 引用 被引量：4
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作者 Bin Guangfu Chu Wangwen +1 位作者 Balbir S. Dhillon He Wenbiao 《Engineering Sciences》 2008年第4期92-96,共5页
In this paper,a monitoring and controlling system for the safety in production and environmental parameters of a small and medium-sized coal mine has been developed after analyzing the current domestic coal production... In this paper,a monitoring and controlling system for the safety in production and environmental parameters of a small and medium-sized coal mine has been developed after analyzing the current domestic coal production and security conditions. The client computer can convert the analog signal about the safety in production and environmental parameters detected from the monitoring terminal into digital signal,and then,send the signal to the coal mine safety monitoring centre. This information can be analyzed,judged,and diagnosed by the monitoring-management-controlling software for helping the manager and technical workers to control the actual underground production and security situations. The system has many advantages including high reliability,better performance of real-time monitoring,faster data communicating and good practicability,and it can effectively prevent the occurrence of safety incidents in coal mines. 展开更多
关键词 small and mediumsized coal mine safety CAN bus communication intelligent data acquisition production parameters monitoring environmental parameters monitoring
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Blockchain Technology and Simulation Case Analysis to Construct a Big Data Platform for Urban Intelligent Transportation 认领 引用 被引量：1
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作者 GONG Yan LIAO Jin‑hua 《Journal of Highway and Transportation Research and Development(English Edition)》 2019年第4期77-87,共11页
The traditional architecture of an urban intelligent transportation data network has a hierarchical distribution.In this architecture,organizations independently manage and upload data,thereby making data sharing diff... The traditional architecture of an urban intelligent transportation data network has a hierarchical distribution.In this architecture,organizations independently manage and upload data,thereby making data sharing difficult to achieve.To solve this problem,a big data platform of urban intelligent transportation was built in this paper by using blockchain technology.In this platform,block data are used as the core,thereby removing the centralized data management of each organization.This method also completely changes the modes of data acquisition,processing,analysis,and storage and fully realizes platformbased large data sharing,decentralization,and distributed computing of the multi-source system of urban intelligent transportation.The big data platform of urban intelligent transportation based on blockchain technology should also solve several key problems,including the unification of data from different sources,the unified supervision and operation of data,and the compatibility with other advanced technologies.To solve these problems,the key technologies for large data platforms were evaluated from a technical perspective.These technologies include the unified technology of each node,the supervision and operation of multitechnology sharing,and the technology compatibility with vehicle networking and vehicle-road collaboration.By taking the problem of traffic flow data loss in road networks under haze as a simulation case scenario,the application of block chain technology was described.By taking some road networks in Beijing as examples,the simulation results show that under the traditional intelligent transportation data network framework,given the limitations of equipment installation layouts and subordinate management organizations,the coverage of road networks for data acquisition is greatly affected by the objective environment,which may lead to data loss.The data acquisition system should also run independently,thereby preventing data sharing at the bottom of the network.The big data platform architecture of urban intelligent transportation based on blockchain technology addresses the limitations of various organizations,realizes data sharing in urban intelligent transportation,and solves the data loss problem under the traditional network architecture. 展开更多
关键词 transportation engineering big data platform blockchain technology urban intelligent transportation data simulation case
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Research on Marketing Business System under the Background of Intelligent Data Analysis 认领 引用
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作者 HE Zhiwen 《外文科技期刊数据库（文摘版）经济管理》 2021年第9期036-038,共3页
Under the background of intelligent data, the marketing business system is of great significance to the operation and development of enterprises. This paper studies the marketing business system under the background o... Under the background of intelligent data, the marketing business system is of great significance to the operation and development of enterprises. This paper studies the marketing business system under the background of intelligent data analysis. By studying the current situation of marketing business system, we can understand the current marketing business environment of the enterprise. The research on the practical significance of the marketing business system under the background of intelligent data analysis finds that the marketing business system under the intelligent data is beneficial for enterprises to integrate the information of the market and the consumer groups. Based on the intelligent data market segmentation, update marketing business philosophy, optimize the network marketing strategy these three aspects, the construction of intelligent data analysis under the background of marketing business system, is conducive to promoting the development of enterprise marketing higher quality. 展开更多
关键词 intelligent data marketing business system marketing strategy business idea market segmentation
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System dynamics based evolutionary game model for data transaction quality regulation 认领 引用
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作者 Jian YANG Taotao YANG Congcong ZHANG 《Frontiers of Computer Science》 SCIE EI CAS CSCD 2026年第3期169-172,共4页
1 Introduction.With the rapid development of emerging technologies such as the Internet of Things(IoT)and artificial intelligence(AI),data has become an indispensable key asset and core resource across various industr... 1 Introduction.With the rapid development of emerging technologies such as the Internet of Things(IoT)and artificial intelligence(AI),data has become an indispensable key asset and core resource across various industries[1].Data trading as an emerging business model,relies on high-quality data products for its healthy development[2,3]. 展开更多
关键词 emerging technologies internet things iot system dynamics data transaction quality evolutionary game model internet things business modelrelies artificial intelligence ai data
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Design and Implementation of Cloud Platform for Intelligent Logistics in the Trend of Intellectualization 认领 引用 被引量：9
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作者 Mengke Yang Movahedipour Mahmood +2 位作者 Xiaoguang Zhou Salam Shafaq Latif Zahid 《China Communications》 SCIE CSCD 2017年第10期180-191,共12页
Intellectualization has become a new trend for telecom industry, driven by intelligent technology including cloud computing, big data, and Internet of things. In order to satisfy the service demand of intelligent logi... Intellectualization has become a new trend for telecom industry, driven by intelligent technology including cloud computing, big data, and Internet of things. In order to satisfy the service demand of intelligent logistics, this paper designed an intelligent logistics platform containing the main applications such as e-commerce, self-service transceiver, big data analysis, path location and distribution optimization. The intelligent logistics service platform has been built based on cloud computing to collect, store and handling multi-source heterogeneous mass data from sensors, RFID electronic tag, vehicle terminals and APP, so that the open-access cloud services including distribution, positioning, navigation, scheduling and other data services can be provided for the logistics distribution applications. And then the architecture of intelligent logistics cloud platform containing software layer(SaaS), platform layer(PaaS) and infrastructure(IaaS) has been constructed accordance with the core technology relative high concurrent processing technique, heterogeneous terminal data access, encapsulation and data mining. Therefore, intelligent logistics cloud platform can be carried out by the service mode for implementation to accelerate the construction of the symbiotic win-winlogistics ecological system and the benign development of the ICT industry in the trend of intellectualization in China. 展开更多
关键词 cloud platform cloud computing intelligent logistics big data intellectualization
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Spatial-temporal large models: A super hub linking multiple scientific areas with artificial intelligence 认领 引用 被引量：5
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作者 Zezhi Shao Tangwen Qian +2 位作者 Tao Sun Fei Wang Yongjun Xu 《The Innovation》 EI 2025年第2期9-10,共2页
Intelligent spatial-temporal data analysis,leveraging data such as multivariate time series and geographic information,provides researchers with powerful tools to uncover multiscale patterns and enhance decision-makin... Intelligent spatial-temporal data analysis,leveraging data such as multivariate time series and geographic information,provides researchers with powerful tools to uncover multiscale patterns and enhance decision-making processes.As artificial intelligence advances,intelligent spatial-temporal algorithms have found extensive applications across various disciplines,such as geosciences,biology,and public health.1 Compared to traditional methods,these algorithms are data driven,making them well suited for addressing the complexities of modeling real-world systems.However,their reliance on substantial domain-specific expertise limits their broader applicability.Recently,significant advancements have been made in spatial-temporal large models.Trained on large-scale data,these models exhibit a vast parameter scale,superior generalization capabilities,and multitasking advantages over previous methods.Their high versatility and scalability position them as promising super hubs for multidisciplinary research,integrating knowledge,intelligent algorithms,and research communities from different fields.Nevertheless,achieving this vision will require overcoming numerous critical challenges,offering an expansive and profound space for future exploration. 展开更多
关键词 spatial temporal large models multivariate time series traditional methodsthese intelligent spatial temporal data analysis geographic information artificial intelligence geographic informationprovides
An Optimized Approach to Vehicle-Type Classification Using a Convolutional Neural Network 认领 引用
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作者 Shabana Habib Noreen Fayyaz Khan 《Computers, Materials & Continua》 SCIE EI 2021年第12期3321-3335,共15页
There are numerous application areas of computing similarity between process models.It includes finding similar models from a repository,controlling redundancy of process models,and finding corresponding activities be... There are numerous application areas of computing similarity between process models.It includes finding similar models from a repository,controlling redundancy of process models,and finding corresponding activities between a pair of process models.The similarity between two process models is computed based on their similarity between labels,structures,and execution behaviors.Several attempts have been made to develop similarity techniques between activity labels,as well as their execution behavior.However,a notable problem with the process model similarity is that two process models can also be similar if there is a structural variation between them.However,neither a benchmark dataset exists for the structural similarity between process models nor there exist an effective technique to compute structural similarity.To that end,we have developed a large collection of process models in which structural changes are handcrafted while preserving the semantics of the models.Furthermore,we have used a machine learning-based approach to compute the similarity between a pair of process models having structural and label differences.Finally,we have evaluated the proposed approach using our generated collection of process models. 展开更多
关键词 Machine learning intelligent data management similarities of process models structural metrics dataset graph edit distance process matching artificial intelligence
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The Logic of Digital Finance in the Age of Digital Economy 认领 引用
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作者 Zhuoyuan Chen 《Proceedings of Business and Economic Studies》 2024年第2期53-59,共7页
This paper explores the development logic,trends,and challenges of digital finance in the era of the digital economy.As a crucial component of the digital economy,digital finance has completely transformed the traditi... This paper explores the development logic,trends,and challenges of digital finance in the era of the digital economy.As a crucial component of the digital economy,digital finance has completely transformed the traditional financial services model through factors such as technological innovation,data intelligence,and personalized user experiences,paving the way for new business models and market opportunities.However,the rapid development of digital finance also faces challenges such as competition,security,and regulation.This paper emphasizes the importance of finding a balance between innovation and security in the development of digital finance and discusses the potential of digital finance in promoting financial inclusion and sustainable development.Through comprehensive analysis,this paper aims to provide valuable insights for academic researchers and industry practitioners,promoting the healthy development of digital finance. 展开更多
关键词 Digital economy Digital finance Technological innovation Data intelligence User experience Competition Security Regulation Financial inclusion Sustainable development
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An Intelligent Graph Edit Distance-Based Approach for Finding Business Process Similarities 认领 引用 被引量：1
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作者 Abid Sohail Ammar Haseeb +2 位作者 Mobashar Rehman Dhanapal Durai Dominic Muhammad Arif Butt 《Computers, Materials & Continua》 SCIE EI 2021年第12期3603-3618,共16页
There are numerous application areas of computing similarity between process models.It includes finding similar models from a repository,controlling redundancy of process models,and finding corresponding activities be... There are numerous application areas of computing similarity between process models.It includes finding similar models from a repository,controlling redundancy of process models,and finding corresponding activities between a pair of process models.The similarity between two process models is computed based on their similarity between labels,structures,and execution behaviors.Several attempts have been made to develop similarity techniques between activity labels,as well as their execution behavior.However,a notable problem with the process model similarity is that two process models can also be similar if there is a structural variation between them.However,neither a benchmark dataset exists for the structural similarity between process models nor there exist an effective technique to compute structural similarity.To that end,we have developed a large collection of process models in which structural changes are handcrafted while preserving the semantics of the models.Furthermore,we have used a machine learning-based approach to compute the similarity between a pair of process models having structural and label differences.Finally,we have evaluated the proposed approach using our generated collection of process models. 展开更多
关键词 Machine learning intelligent data management similarities of process models structural metrics dataset graph edit distance process matching artificial intelligence
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