Graph-theoretic techniques for web content mining /
This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. Through the use of graph distance - a...
| Други автори: | Schenker, Adam. |
|---|---|
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
[Hackensack], N.J. ; London :
World Scientific,
2005.
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| Серия: |
Series in machine perception and artificial intelligence ;
v. 62. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=161369 |
| Подобни документи: |
Print version::
Graph-theoretic techniques for web content mining. |
| Онлайн достъп от Библиотека ”Паница” на Американския университет в България: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=161369 |
|---|
| Провери в Paniza Library, AUBG | Сигнатура: |
QA76.9.D343 G753 2005eb |
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