Name
Abstract | ||
|---|---|---|
To effectively manage and analyze graph data in many real-life graph applications, SCAN algorithm can efficiently help users to detect useful clusters, such as social networks, communication networks, gene networks, and so on. However, dirty data exist in graph data, for example, some edges are missing in graph data. In this case, the clustering results of SCAN over the dirty graph data cannot mee... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00089 | 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) |
Keywords | DocType | ISBN |
Social networking (online),Image edge detection,Clustering algorithms,Data models,Communication networks | Conference | 978-1-6654-1485-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiufeng Xia | 1 | 1 | 2.38 |
| Jida Min | 2 | 0 | 0.34 |
| Chuanyu Zong | 3 | 8 | 2.87 |
| Jiajia Li | 4 | 0 | 0.34 |
| Xiangyu Liu | 5 | 0 | 0.34 |
| Tao Qiu | 6 | 18 | 4.42 |