Name
Title | ||
|---|---|---|
An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things. |
Abstract | ||
|---|---|---|
With the rapid advances of sensing technologies and wireless communications, large amounts of dynamic data pertaining to industrial production are being collected from many sensor nodes deployed in the industrial Internet of Things. Analyzing those data effectively can help to improve the industrial services and mitigate the system unprepared breakdowns. As an important technique of data analysis,... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TII.2017.2684807 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Clustering algorithms,Heuristic algorithms,Internet of Things,Big Data,Clustering methods,Immune system,Production | Fuzzy clustering,Canopy clustering algorithm,Data mining,CURE data clustering algorithm,Clustering high-dimensional data,Data stream clustering,Computer science,Algorithm,Consensus clustering,FLAME clustering,Cluster analysis | Journal |
Volume | Issue | ISSN |
13 | 3 | 1551-3203 |
Citations | PageRank | References |
31 | 0.99 | 12 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingchen Zhang | 1 | 372 | 19.17 |
| Chunsheng Zhu | 2 | 817 | 69.34 |
| Laurence T. Yang | 3 | 6870 | 682.61 |
| Zhikui Chen | 4 | 692 | 66.76 |
| Liang Zhao | 5 | 49 | 2.65 |
| P. Li | 6 | 214 | 28.84 |