Graph-Theoretic Techniques for Web Content Mining
来源:互联网 发布:centos ssh端口修改 编辑:程序博客网 时间:2024/06/12 00:02
版权声明:原创作品,允许转载,转载时请务必以超链接形式标明文章原始出版、作者信息和本声明。否则将追究法律责任。http://blog.csdn.net/topmvp - topmvp
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 relatively new approach for determining graph similarity the authors show how well-known algorithms, such as k-means clustering and k-nearest neighbors classification, can be easily extended to work with graphs instead of vectors. This allows for the utilization of additional information found in graph representations, while at the same time employing well-known, proven algorithms.
http://rapidshare.com/files/56042969/9812563393.rar
http://depositfiles.com/files/1850501
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 relatively new approach for determining graph similarity the authors show how well-known algorithms, such as k-means clustering and k-nearest neighbors classification, can be easily extended to work with graphs instead of vectors. This allows for the utilization of additional information found in graph representations, while at the same time employing well-known, proven algorithms.
http://rapidshare.com/files/56042969/9812563393.rar
http://depositfiles.com/files/1850501
- Graph-Theoretic Techniques for Web Content Mining
- Web Mining: : Applications and Techniques
- Web Content Mining
- Web Content Mining
- Web Content Mining
- Web Content Mining
- Web Content Mining
- Web Content Mining
- Web Content Mining
- Web Content Mining
- Web Content Mining
- Web Content Mining
- Web Content Mining
- Data Mining Techniques : For Marketing, Sales, and Customer Relationship Management
- Data Mining for Web Intelligence
- Advanced Data Mining Techniques
- Control-Theoretic Methods for Cyberphysical security(翻译)
- Mining Graph Data
- OpenGL(R) SuperBible: Comprehensive Tutorial and Reference (4th Edition)
- Forecasting Oracle Performance
- 网线基础
- Microsoft SharePoint: Building Office 2007 Solutions in VB 2005
- OO系统设计师之路--分析模型系列(1)--什么是分析模型
- Graph-Theoretic Techniques for Web Content Mining
- Beginning Python
- Programming Flex 2: The comprehensive guide to creating rich media applications with Adobe Flex
- Programming Firefox: Building Rich Internet Applications with XUL
- AutoCAD2008 and AutoCAD LT 2008: No Experience Required
- Varchar与char的区别
- Acegi web.xml的配置
- 通信和通讯的区别
- 启动Office组件会弹出安装界面