Data Mining:  Prerequisites of Web Usage Mining: Efficient Preprocessing and Clustering Techniques - Shreedhara K. S. - 图书 - LAP LAMBERT Academic Publishing - 9783659117282 - 2012年5月18日
如封面与标题不符,以标题为准

Data Mining: Prerequisites of Web Usage Mining: Efficient Preprocessing and Clustering Techniques


商品到货时接收邮件提醒
Do you have a profile? 登录
添加至iMusic心愿单

WWW continues to grow at an overwhelming rate in both the sheer volume of traffic and the size & complexity of Web sites. Therefore, it becomes more and more necessary, but difficult to get useful information from Web data, in order to understand and better serve the needs of Web-based applications. As a result, the Web usage mining has become a hot research topic, which combines two of the prominent research areas comprising the data mining and the World Wide Web. The book gives all the details of two contributions from this research work those are preprocessing of web log data and clustering of web users based on thier interest. ART1 NN algorithm is used for clustering and finally it has been proved that ART1 performs better than traditional k-means and SOM clustering algorithms.

介质类型 图书     Paperback Book   (平装胶订图书)
已发行 2012年5月18日
ISBN13 9783659117282
出版商 LAP LAMBERT Academic Publishing
页数 84
商品尺寸 150 × 5 × 226 mm   ·   136 g
语言 英语