Name
Title | ||
|---|---|---|
Discovering geo-dependent stories by combining density-based clustering and thread-based aggregation techniques. |
Abstract | ||
|---|---|---|
•This work combines geo-clustering and content aggregation to detect unexpected behavior in a city.•Content analysis provide explanatory information to anomalous clusters.•Results show that the complementarity of content and geo-location is beneficial.•Feasibility to be deployed in real scenarios. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2017.11.019 | Expert Systems with Applications |
Keywords | Field | DocType |
Data mining,Crowd detection,Density-based clustering,Content aggregation,Event detection | Data science,Data mining,Metadata,Social media,Social network,Computer science,Thread (computing),Cluster analysis,Commodity hardware | Journal |
Volume | ISSN | Citations |
95 | 0957-4174 | 2 |
PageRank | References | Authors |
0.36 | 21 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Héctor Cerezo-Costas | 1 | 9 | 1.90 |
| Ana Fernández Vilas | 2 | 463 | 48.02 |
| Manuela I. Martín-Vicente | 3 | 39 | 4.00 |
| Rebeca P. Díaz Redondo | 4 | 364 | 41.03 |