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0000056139 |
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20090428093000.0 |
| 008 |
080313s2005 nju eng |
| 020 |
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|a 9812563393
|
| 090 |
0 |
0 |
|a QA76.9.D343
|b G73 2005
|
| 245 |
0 |
0 |
|a Graph-theoretic techniques for web content mining
|c Adam Schenker ... [et al.]
|
| 260 |
|
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|a London :
|b World Scientific ,
|c 2005
|
| 300 |
|
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|a xi, 235 p. :
|b ill. ;
|c 24 cm.
|
| 440 |
|
0 |
|a Series in machine perception and artificial intelligence
|v v. 62
|
| 504 |
|
|
|a Includes bibliographical references
|
| 505 |
0 |
|
|a 1. Introduction to web mining -- 2. Graph similarity techniques -- 3. Graph models for web documents -- 4. Graph-based clustering -- 5. Graph-based classification -- 6. The graph hierarchy construction algorithm for web search clustering -- 7. Conclusions and future work
|
| 650 |
|
0 |
|a Algorithms
|
| 650 |
|
0 |
|a Data mining
|
| 650 |
|
0 |
|a Graph theory
|x Data processing
|
| 650 |
|
0 |
|a Multidimensional scaling
|
| 700 |
1 |
|
|a Schenker, Adam ,
|e author
|
| 999 |
|
|
|a 1000123192
|b Book
|c OPEN SHELF (30 DAYS)
|e Tembila Campus
|