|
|
|
|
|
Fangling Leng, Fan Li, Yubin Bao, Tiancheng Zhang and Ge Yu
As graph models become increasingly prevalent in the processing of scientific data, the exploration of effective methods for the mining of meaningful patterns from large-scale graphs has garnered significant research attention. This paper delves into the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuting Chen, Pengjun Zhao, Yi Lin, Yushi Sun, Rui Chen, Ling Yu and Yu Liu
Precise identification of spatial unit functional features in the city is a pre-condition for urban planning and policy-making. However, inferring unknown attributes of urban spatial units from data mining of spatial interaction remains a challenge in ge...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abner Perez-Haro and Arturo Diaz-Perez
Policy mining is an automated procedure for generating access rules by means of mining patterns from single permissions, which are typically registered in access logs. Attribute-based access control (ABAC) is a model which allows security administrators ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mattia D?Emidio
Computing shortest-path distances is a fundamental primitive in the context of graph data mining, since this kind of information is essential in a broad range of prominent applications, which include social network analysis, data routing, web search opti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan Qiu, Qingfeng Du, Kanglin Yin, Shuang-Li Zhang and Chongshu Qian
With the development of cloud computing technology, the microservice architecture (MSA) has become a prevailing application architecture in cloud-native applications. Many user-oriented services are supported by many microservices, and the dependencies b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sedick Baker Effendi, Brink van der Merwe and Wolf-Tilo Balke
Every day large quantities of spatio-temporal data are captured, whether by Web-based companies for social data mining or by other industries for a variety of applications ranging from disaster relief to marine data analysis. Making sense of all this dat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Di Jin, Aristotelis Leventidis, Haoming Shen, Ruowang Zhang, Junyue Wu and Danai Koutra
Graphs emerge naturally in many domains, such as social science, neuroscience, transportation engineering, and more. In many cases, such graphs have millions or billions of nodes and edges, and their sizes increase daily at a fast pace. How can researche...
ver más
|
|
|
|
|
|