Name
Title | ||
|---|---|---|
Detecting outlier pairs in complex network based on link structure and semantic relationship. |
Abstract | ||
|---|---|---|
•The differences between link and semantics are utilized to detect outlier pairs.•A k-step index algorithm is proposed to calculate the term weighting.•Frobenius norm and linear transformation are combined to rank the top-K differences.•Direct and indirect link relations are both considered in link structure model. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.eswa.2016.10.026 | Expert Systems with Applications |
Keywords | Field | DocType |
Outlier pair detection,Complex network,Link structure,Semantic relationship,K-step index | Data mining,Weighting,Matrix (mathematics),Computer science,Artificial intelligence,Complex network,Semantic similarity,Pattern recognition,Outlier,Matrix norm,Linear map,Machine learning,Semantics | Journal |
Volume | ISSN | Citations |
69 | 0957-4174 | 2 |
PageRank | References | Authors |
0.38 | 27 | 3 |