Name
Title | ||
|---|---|---|
Semantic Analysis of Web Pages Using Cluster Analysis and Nonnegative Matrix Factorization |
Abstract | ||
|---|---|---|
In this paper, the web pages concerning products sale are analyzed with the aim to create clusters of similar web pages and characterize these by GUI patterns. We applied GD-CLS (gradient descent - constrained least squares) method which combines some of the best features of other methods. Both traditional methods for searching clusters and nonneaative matrix factorization are used. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72575-6_53 | ADVANCES IN INTELLIGENT WEB MASTERING |
Keywords | Field | DocType |
nonnegative matrix factorization,web pages,cluster analysis | Data mining,Cluster (physics),Constrained least squares,Gradient descent,Web page,Computer science,Document-term matrix,Non-negative matrix factorization | Conference |
Volume | ISSN | Citations |
43 | 1615-3871 | 3 |
PageRank | References | Authors |
0.41 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Václav Snasel | 1 | 1261 | 210.53 |
| Hana Rezanková | 2 | 56 | 9.79 |
| Dusan Húsek | 3 | 60 | 11.37 |
| Milos Kudelka | 4 | 116 | 23.81 |
| Ondřej Lehečka | 5 | 31 | 3.53 |