Name
Abstract | ||
|---|---|---|
Many corpora of intelligence interest are so large that it is impractical to read them entirely. Analysts need tools that will focus attention on significant structures and particular documents. Here we exploit singular value decomposition and word2vec as tools for this purpose, and compare them with one another in a real-world application -- a malware forum from the dark web.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3110025.3116205 | ASONAM '17: Advances in Social Networks Analysis and Mining 2017
Sydney
Australia
July, 2017 |
Field | DocType | ISBN |
Data mining,Singular value decomposition,World Wide Web,Computer science,Exploit,Deep Web,Word2vec,Malware | Conference | 978-1-4503-4993-2 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nasser Alsadhan | 1 | 0 | 0.68 |
| D. B. Skillicorn | 2 | 256 | 32.50 |
| Richard Frank | 3 | 75 | 9.59 |