Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Dynamic frequent subgraph mining algorithms over evolving graphs: a survey
BE Bostanoğlu, N Abuzayed - PeerJ Computer Science, 2024 - peerj.com
Frequent subgraph mining (FSM) is an essential and challenging graph mining task used in
several applications of the modern data science. Some of the FSM algorithms have the …
several applications of the modern data science. Some of the FSM algorithms have the …
Using process mining in real-time to reduce the number of faulty products
Process mining is a field of research whose tools can be used to extract useful hidden
information about a process, from its execution log files. The current problem is that there is …
information about a process, from its execution log files. The current problem is that there is …
Resource management for data stream processing in geo-distributed environments
H Arkian - 2021 - inria.hal.science
The deployment of Data Stream Processing (DSP) frameworks in geo-distributed computing
infrastructures can bridge the gap between Cloud and edge devices and reduce data …
infrastructures can bridge the gap between Cloud and edge devices and reduce data …
Frequent subgraph mining over dynamic graphs
NNI Abuzayed - 2022 - search.proquest.com
Frequent subgraph mining (FSM) is an essential and challenging graph mining task used in
several applications. Modern applications employ evolving graphs, so FSM is more …
several applications. Modern applications employ evolving graphs, so FSM is more …